Abstract
We propose a new dynamic transition analysis on the basis of a small open economy dynamic stochastic general equilibrium model. Our proposed analysis differs from existing static and conventional dynamic analyses in that shifts from a fixed exchange rate regime to a basket peg or a floating regime are explicitly explored. We apply quantitative analysis, using data from the People's Republic of China and Thailand, and find that both economies would be better off shifting from a dollar peg to a basket peg or a floating regime over the long run. Furthermore, the longer the transition period, the greater the benefits of shifting to a basket peg regime from a dollar peg regime owing to limited volatility in interest rates. Regarding sudden shifts to a desired regime, the welfare gains are larger under a shift to a basket peg if the exchange rate fluctuates significantly.
I. Introduction
We have witnessed many shifts in exchange rate regimes in emerging market economies over the last 3 decades. Economies such as Chile, Israel, and Poland have undergone gradual adjustments of their exchange rate toward a free-floating regime, while others—such as the Czech Republic, Jamaica, Lithuania, and Uruguay—have chosen to make rapid exchange rate adjustments.1 Most economies in the Association of Southeast Asian Nations, the People's Republic of China (PRC), Japan, and the Republic of Korea (ASEAN+3) have experienced shifts from one regime to another in the period following the 1997/98 Asian financial crisis. Some of these economies also implemented capital account measures during the postcrisis period.
The literature on exchange rate regimes has explored only static and conventional dynamic analyses. Static analysis focusing on the 1997/98 Asian financial crisis relies on losses over a short time horizon (e.g., 1 quarter). It then compares optimality among a dollar peg, a basket peg, and a floating regime, given free capital mobility. The regime under each option in the static analysis is restricted to one type of exchange rate regime.2 In contrast, conventional dynamic analysis covers a longer time horizon (e.g., 10 years or an infinite time horizon). Similar to static analysis, exchange rate regimes are assumed to remain stable over the specified horizon and are compared with one another to determine the most desirable regime over the long run.3
Though both static and conventional dynamic analyses were quite appropriate in the aftermath of the 1997/98 Asian financial crisis, the scope to which monetary authorities can apply these analyses has become more limited over time. Among the critical drawbacks with these types of analysis is that they do not take into consideration shifts in one exchange rate regime to another or the costs associated with such shifts. Obviously, any shift to a different regime entails costs for the monetary authorities. Equally important, all of the exchange rate regimes included in static and dynamic analyses operate under free capital mobility rather than strict or weak capital controls.
These limitations raise an important question that has not yet been answered in the literature on exchange rate policy in East Asia: can we construct a new approach to theoretical analysis in the context of East Asian economies that have experienced shifts from one regime to another?
This paper proposes a new “dynamic transition analysis” on the basis of a small open economy dynamic stochastic general equilibrium (DSGE) model. Our proposed analysis differs from existing analysis in that shifts from a fixed exchange rate regime to a basket peg or a floating regime are explicitly explored. Moreover, during the shifts, we incorporate changes in capital account restrictions. In particular, we consider five policies: (1) maintaining a dollar peg (with strict capital controls), (2) a gradual shift from a dollar peg to a basket peg without capital controls (a gradual adjustment of both capital controls and basket weight), (3) a sudden shift from a dollar peg to a basket peg without capital controls (a sudden removal of capital controls and a sudden change in basket weight), (4) a sudden shift from a dollar peg to a floating regime (a sudden removal of capital controls and a sudden increase in flexibility in the exchange rate), and (5) a sudden shift from a dollar peg to a managed-floating regime (a sudden removal of capital controls and a sudden increase in flexibility in the exchange rate with occasional interventions). For each transition policy, we obtain a theoretical expression for the cumulative loss.
On the basis of our dynamic transition analysis, we draw four conclusions. First, we find that maintaining a dollar peg is desirable only over the short run, which suggests that an economy will be better off shifting to either a basket peg or a floating regime over the long run. Second, given the choice between a gradual adjustment toward the target basket peg, policy (2), or a sudden shift to the target basket peg, policy (3), a longer transition period will deliver greater benefits to the economy than immediately implementing the desired regime.
Third, given the comparison between a sudden shift to a basket peg, policy (3), and a sudden shift to a floating regime, policy (4), the welfare gains to an economy would be higher under a shift to a basket peg if the exchange rate fluctuates significantly. The economy would be able not only to stabilize the negative impacts of exchange rate fluctuations on trade and capital inflows, but also allow the private sector to formulate exchange rate expectations by committing to a basket peg over the long run. Lastly, it is less beneficial to shift to a managed-floating regime than to a basket peg because intervening in the foreign exchange market leads to greater losses since the relevant authority lacks monetary policy autonomy. Our quantitative analysis using data from the PRC and Thailand supports these findings.4 Our analysis can be applied to any small open economy that is considering a shift from a fixed-rate regime to a basket peg or floating regime.5
The rest of the paper is structured as follows. In section II, we provide an overview of the development of exchange rate regimes and capital account management in ASEAN+3 in the post-Asian financial crisis period. In section III, we explain the limitations of both static and conventional dynamic analyses with regard to exchange rate regimes. Section IV provides a DSGE model of a small open economy and analyzes how an economy reaches a state of stable equilibrium under each of the five policy regimes described above. In section V, we define in more detail these five exchange rate policies, which include four transition policies and a policy of maintaining a dollar peg. Section VI focuses on the optimal transition policy. Simulation exercises using data from the PRC and Thailand are provided in Section VII. Section VIII concludes.
A. Literature Review
Several previous studies explore desirable exchange rate regimes in East Asia in the static context. On the one hand, Ito, Ogawa, and Sasaki (1998) and Ogawa and Ito (2002) find that a basket peg is desirable in a general equilibrium model that does not involve capital movements.6 Similarly, Yoshino, Kaji, and Suzuki (2004); and Yoshino, Kaji, and Asonuma (2004) confirm the optimality of a basket peg in a general equilibrium model with capital movements across economies. On the other hand, Adams and Semblat (2004), Sussangkarn and Vichyanond (2007), and Kim and Lee (2008) emphasize the advantages of a floating regime by showing that exchange rate flexibility provides greater monetary policy independence, particularly with regard to inflation targeting. For an empirical analysis, McKibbin and Lee (2004) investigate which exchange rate East Asian economies should peg to by using economy-specific (asymmetric) shocks and regional (symmetric) shocks.
The other stream of literature discusses conventional dynamic analyses of exchange rate regimes in the region. In this analysis, monetary authorities are assumed to maintain the current exchange rate regime over the long run. Yoshino, Kaji, and Suzuki (2002) show that a basket peg achieves the least cumulative loss among three exchange rate regime options. Shioji (2006a, 2006b) confirms the superiority of a basket peg to a dollar peg in a dynamic model using two firm-level invoicing schemes: producer currency pricing and vehicle currency pricing. Yoshino, Kaji, and Asonuma (2012) contrast a basket peg regime with a floating regime using specified instrument rules.7
We have also reviewed studies on adjustments to capital account management in East Asian economies.8 Ariyoshi et al. (2000), Kawai and Takagi (2004), and Meesok et al. (2001) discuss Malaysia's experience with outflow controls and conclude that these controls appear to have achieved their objective of securing monetary independence under a fixed exchange rate. On capital account restrictions in the PRC, Goldstein and Lardy (2006) stress the immediate removal of capital controls, while Cappiello and Ferrucci (2008) propose the progressive removal of controls in sequence with exchange rate reform.9
II. Exchange Rate Regimes and Capital Account Management in ASEAN+3
Table 1 summarizes transitions in de jure exchange rate regimes in ASEAN+3 in 1999–2008.10 We observe two patterns of development in exchange rate regimes. First, most economies in ASEAN+3 have experienced a shift from one regime to another in the post-Asian financial crisis period, or at least a small degree of change. Some economies, such as the PRC and Malaysia, have increased the flexibility of their exchange rate regimes.11 Second, other economies, such as Japan and the Republic of Korea, have maintained their (free-floating) exchange rate regime unchanged over the period.
Economy . | 1999a . | 2002a . | 2005a . | 2008a . |
---|---|---|---|---|
People's Republic of China | Conventional pegged arrangement | Conventional pegged arrangement | Conventional pegged arrangement | Stabilized arrangement |
Indonesia | Independently floating | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Floating |
Japan | Independently floating | Independently floating | Independently floating | Free floatingb |
Republic of Korea | Independently floating | Independently floating | Independently floating | Free floatingb |
Malaysia | Conventional pegged arrangement | Conventional pegged arrangement | Managed floating with no predetermined path for the exchange rate | Floatingc |
Philippines | Independently floating | Independently floating | Independently floating | Floating |
Singapore | Managed floating with no preannounced path for the exchange rate | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Floatingd |
Thailand | Independently floating | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Managed floating with no predetermined path for the exchange rate |
Economy . | 1999a . | 2002a . | 2005a . | 2008a . |
---|---|---|---|---|
People's Republic of China | Conventional pegged arrangement | Conventional pegged arrangement | Conventional pegged arrangement | Stabilized arrangement |
Indonesia | Independently floating | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Floating |
Japan | Independently floating | Independently floating | Independently floating | Free floatingb |
Republic of Korea | Independently floating | Independently floating | Independently floating | Free floatingb |
Malaysia | Conventional pegged arrangement | Conventional pegged arrangement | Managed floating with no predetermined path for the exchange rate | Floatingc |
Philippines | Independently floating | Independently floating | Independently floating | Floating |
Singapore | Managed floating with no preannounced path for the exchange rate | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Floatingd |
Thailand | Independently floating | Managed floating with no preannounced path for the exchange rate | Managed floating with no predetermined path for the exchange rate | Managed floating with no predetermined path for the exchange rate |
ASEAN+3 = Association of Southeast Asian Nations plus the People's Republic of China, Japan, and the Republic of Korea.
Notes:
aSee IMF (2000, 2003, 2006) for categories of exchange rate arrangements in 1999, 2002, and 2005, respectively. See IMF (2009) for categories of exchange rate arrangements in 2008. In 2003, “the managed floating with no preannounced path for the exchange rate” was changed to the managed floating with no predetermined path for exchange rate.
bAccording to IMF (2009), a floating exchange rate is largely market determined, without an ascertainable or predictable path for the rate.
cThe Malaysian ringgit is managed with reference to a currency basket. The composition of the basket is not disclosed.
dThe Singapore dollar is allowed to fluctuate within a targeted policy band and is managed against a basket of currencies of the economy's major trading partners and competitors.
Sources: International Monetary Fund (IMF). 2000. Annual Report on Exchange Rate Arrangements and Exchange Restrictions. Washington, DC; IMF. 2003. Annual Report on Exchange Rate Arrangements and Exchange Restrictions. Washington, DC; IMF. 2006. Annual Report on Exchange Rate Arrangements and Exchange Restrictions. Washington, DC; IMF. 2009. Annual Report on Exchange Rate Arrangements and Exchange Restrictions. Washington, DC.
Table 2 reports the primary changes in capital account management measures in the Republic of Korea, Malaysia, and Thailand in 1998–2010.12 Faced with spillover effects from the 1997/98 Asian financial crisis, Malaysian authorities initially eliminated offshore ringgit activities and limited portfolio capital outflows. Later, the authorities reversed their strategy, gradually relaxing restrictions on portfolio outflows and offshore transactions. The Republic of Korea moved toward capital outflow liberalization only after the economy had recovered from the crisis. Limits on outward investment were relaxed further in the mid-2000s, leading to the elimination of most controls by 2007. In Thailand, authorities restricted baht deposits for nonresidents. In 2006, they introduced an unremunerated reserve requirement of 30% on capital inflows.
Economy . | Period . | Major Policy Measures . |
---|---|---|
Republic of | 2001–2008 | Outflow liberalization |
Korea | • Elimination of limits on deposits | |
• Relaxation of limits on lending to nonresidents | ||
Malaysia | 1998–2001 | Outflows controls |
• Controls on transfers of funds from MYR-denominated accounts for nonresidents | ||
• Removal of the partial and complete exit levies on repatriation of principal | ||
1998–2001 | Ringgit transactions | |
• Limit offshore ringgit transactions through restrictions on transfer of funds between MYR-denominated accounts of nonresidents | ||
2001–2008 | Ringgit transactions | |
• Abolish restriction on ringgit lending to nonresident-controlled companies onshore | ||
• Liberalization of restrictions on ringgit borrowing from and lending to nonresidents | ||
1998–2010 | Flexibilities on outflows | |
• Gradual liberalization of restrictions on investments in foreign currency assets | ||
• Liberalization to allow settlement of international trade of goods and services with nonresidents in ringgit | ||
Thailand | 2006–2008 | Unremunerated reserve requirement (URR) |
• Introduction of a 1-year URR for capital inflows | ||
• Elimination of the URR | ||
2003–2008 | Inflow controls | |
• Limits on short-term borrowing from nonresidents without underlying and on investments in government debt securities | ||
2002–2008 | Outflow liberalization | |
• Relaxation of limits on residents’ investments in foreign affiliates and lending abroad |
Economy . | Period . | Major Policy Measures . |
---|---|---|
Republic of | 2001–2008 | Outflow liberalization |
Korea | • Elimination of limits on deposits | |
• Relaxation of limits on lending to nonresidents | ||
Malaysia | 1998–2001 | Outflows controls |
• Controls on transfers of funds from MYR-denominated accounts for nonresidents | ||
• Removal of the partial and complete exit levies on repatriation of principal | ||
1998–2001 | Ringgit transactions | |
• Limit offshore ringgit transactions through restrictions on transfer of funds between MYR-denominated accounts of nonresidents | ||
2001–2008 | Ringgit transactions | |
• Abolish restriction on ringgit lending to nonresident-controlled companies onshore | ||
• Liberalization of restrictions on ringgit borrowing from and lending to nonresidents | ||
1998–2010 | Flexibilities on outflows | |
• Gradual liberalization of restrictions on investments in foreign currency assets | ||
• Liberalization to allow settlement of international trade of goods and services with nonresidents in ringgit | ||
Thailand | 2006–2008 | Unremunerated reserve requirement (URR) |
• Introduction of a 1-year URR for capital inflows | ||
• Elimination of the URR | ||
2003–2008 | Inflow controls | |
• Limits on short-term borrowing from nonresidents without underlying and on investments in government debt securities | ||
2002–2008 | Outflow liberalization | |
• Relaxation of limits on residents’ investments in foreign affiliates and lending abroad |
MYR = Malaysian ringgit.
Sources: Ariyoshi, A., K. Habermeier, B. Laurens, I. Ötker–Robe, J. I. Canales–Kriljenko, and A. Kirilenko. 2000. Capital Controls: Country Experiences with Their Use and Liberalization. IMF Occasional Paper No. 190. Washington, DC: International Monetary Fund (IMF); Baba, C., and A. Kokenyne. 2011. Effectiveness of Capital Controls in Selected Emerging Markets in the 2000s. IMF Working Paper WP/11/281. Washington, DC: IMF; IMF. 2014. Annual Report on Exchange Rate Arrangements and Exchange Restrictions. Washington, DC; Kawai, M., and S. Takagi. 2004. Rethinking Capital Controls: The Malaysian Experience. In S. Chirathivat, E. M. Claassen, and J. Schroeder, eds. East Asia's Monetary Future: Integration in the Global Economy. Cheltenham, UK and Northampton, MA: Edward Elgar; Meesok, K., I. H. Lee, O. Liu, Y. Khatri, N. Tamirisa, M. Moor, and M. H. Krysl. 2001. Malaysia: From Crisis to Recovery. IMF Occasional Paper No. 207. Washington, DC: IMF.
III. Limitation of Existing Static and Conventional Dynamic Analyses
Existing static and conventional dynamic analyses are appropriate for comparing the status quo exchange rate regime with a more desirable one (e.g., a dollar peg regime that most East Asian economies had adopted prior to the onset of the 1997/98 Asian financial crisis).
However, the scope to which monetary authorities can apply these static and conventional dynamic analyses has become more limited. Specifically, these types of analyses have four drawbacks when applied to East Asian economies in the post-Asian financial crisis period.
First, and most importantly, these analyses have taken into consideration neither shifts in exchange rate regimes nor the costs associated with shifts. As discussed in section II, the majority of East Asian economies announced their departure from a de facto dollar peg at the onset of the 1997/98 Asian financial crisis and then experienced several changes to their exchange rate regime in the aftermath of the crisis. Obviously, any shift to a different regime entails costs for the relevant monetary authority.
Second, and related to the first point, these analyses do not reflect where East Asian economies currently stand (status quo regime). They rely on the assumption that these economies have implemented a regime that is more desirable than the previous regime. However, in reality, the current exchange rate regime is not necessarily the most desirable regime over the long run.
Third, all exchange rate regimes in the static and dynamic analyses operate under free capital mobility rather than strict or weak capital controls. However, these models are in contrast with recent developments in capital account restrictions in East Asian economies as reported in section II. For example, Malaysia and Thailand implemented capital account restrictions immediately at the onset of the 1997/98 Asian financial crisis and only relaxed these controls gradually in the aftermath of the crisis. Changes in capital account measures, particularly the removal of capital controls, need to be considered in the context of exchange rate regimes since exchange rates and interest rates are significantly influenced by any change in capital account measures.
Lastly, not only have shifts in exchange rate regimes not been explored yet, but also the analyses have not focused on how adjustments should be implemented. Monetary authorities must choose between gradual and rapid adjustments.13 On the one hand, the entire transition process of increasing flexibility in the exchange rate regime includes several intermediate regimes in which exchange rates are allowed to fluctuate more than under the previous regime. On the other hand, the monetary authorities could suddenly abandon a fixed regime and adopt a new market-determined exchange rate regime.
These drawbacks in the static and conventional dynamic analyses call for a need to develop an alternative dynamic analysis that suits East Asian economies, particularly in the post-Asian financial crisis period.
IV. Macroeconomic Models and Exchange Rate Regimes
A. Dynamic Model of a Small Open Economy
This section provides a DSGE model for a small open economy. Our model closely follows Dornbusch (1976) and Yoshino, Kaji, and Suzuki (2002) as we analyze in the dynamic context. Although we do not derive equilibrium conditions directly from the optimal behavior of households and firms, our equilibrium conditions are the same as those in Yoshino, Kaji, and Asonuma (2012, 2015b), which are built on microfoundations. The main rationale of our modeling approach is rooted in it being a better fit with the data for East Asia: when we obtain estimated coefficients from regressions using macroeconomic data, our model is well specified and is a good fit with available data for East Asian economies. There are three economies in our model: the East Asian economy, Japan, and the United States (US) (Figure 1). We assume the East Asian economy to be the home economy, and Japan and the US to be the rest of the world. The yen–dollar exchange rate is exogenous to the home economy. Detailed description of variables in the model is reported in Table 3.
Variable . | Description . | Variable . | Description . |
---|---|---|---|
![]() | Stock of money supply | ![]() | Total productvitiy of home economy |
![]() | Price level in home economy | ![]() | Price level in the US |
![]() | Expected domestic price level | ![]() | Price level in Japan |
![]() | Home economy interest rate | ![]() | US interest rate |
![]() | Home gross domestic product | ![]() | Potential gross domestic product |
![]() | East Asian currency–US dollar exchange rate | ![]() | East Asian currency–yen exchange rate |
![]() | US dollar–yen exchange rate | ![]() | Basket weight of the US dollar rate in a currency basket |
![]() | US dollar exchange rate risk | ![]() | Yen exchange rate risk |
Variable . | Description . | Variable . | Description . |
---|---|---|---|
![]() | Stock of money supply | ![]() | Total productvitiy of home economy |
![]() | Price level in home economy | ![]() | Price level in the US |
![]() | Expected domestic price level | ![]() | Price level in Japan |
![]() | Home economy interest rate | ![]() | US interest rate |
![]() | Home gross domestic product | ![]() | Potential gross domestic product |
![]() | East Asian currency–US dollar exchange rate | ![]() | East Asian currency–yen exchange rate |
![]() | US dollar–yen exchange rate | ![]() | Basket weight of the US dollar rate in a currency basket |
![]() | US dollar exchange rate risk | ![]() | Yen exchange rate risk |
US = United States.
Note: All variables, except interest rates, are defined in natural logs.
Source: Authors’ compilation.







where the term shows the expected inflation rate. The last two terms correspond to exchange rate risks.
where the first term on the right-hand side shows the total productivity of the home economy and the last two terms denote the US dollar and yen exchange rate risks. We assume aggregate production depends on total productivity, imported materials from Japan and the US, and the expected inflation rate. The home economy is assumed to import materials from Japan and the US, and to export final goods to Japan and the US. Both aggregate demand and aggregate supply also depend on exchange rate expectations, as exporting and importing firms are concerned with significant deviations from the current exchange rate in the future. Among the variables, ,
,
,
,
are common exogenous variables under any exchange rate regime. We assume that all exogenous variables except
,
,
,
,
,
, and
are constant (= 0) in the analysis below. All of the coefficients above are positive.
B. Exchange Rate Regimes
Next, we derive the long-run equilibrium together with equilibrium values at period t for the following exchange rate regimes:
dollar peg with strict capital controls,
basket peg with weak capital controls,
basket peg without capital controls,
floating regime without capital controls, and
dollar peg without capital controls.
1. Dollar Peg with Strict Capital Controls (A)














Note that and
. A clear shortcoming of a dollar peg with capital controls is that capital inflows are restricted, which leads to a lower long-run equilibrium value compared with that under a basket peg without capital controls.
2. Basket Peg with Weak Capital Controls (B)







3. Basket Peg without Capital Controls (C)






4. Floating Regime wtihout Capital Controls (D)
5. Dollar Peg without Capital Controls (E)
As with a dollar peg with strict capital controls, the East Asian currency–US dollar rate () is totally exogenous (
) and the money supply is endogenous. Without capital controls, we have Equation (1′) and the domestic interest rate (
) is fixed at the level of the US interest rate (endogenous) (i.e.,
). This drives high interest rate volatility due to changes in the US interest rate and results in more volatile output and price levels.
The long-run equilibrium values for the price level and the money supply under this regime are the same as in Equations (8) and (9): and
, respectively. As in previous cases, we assume the same exogenous US dollar–yen rate shock. New equilibrium values after the shock are the same under a US dollar peg with capital controls:
.
V. Transition Paths to Other Exchange Rate Regimes
In this section, we define four transition policies and a policy of maintaining the current regime. Yoshino, Kaji, and Suzuki (2004) find that when evaluated with a one-period loss, it would be desirable for a small open economy like Thailand to adopt a basket peg or a floating regime rather than a dollar peg. In the current context, this implies that the desirable regime over the long run is either a basket peg without capital controls or a floating regime without capital controls.20 We consider four transition paths to the preferred regime, as well as maintaining the status quo (e.g., dollar peg with capital controls), using the (A)–(E) categorization of each exchange rate policy described in section IV (Figure 2):
maintaining a dollar peg (with strict capital controls): (A),
gradual shift from a dollar peg to a basket peg without capital controls (gradual adjustments of both capital controls and basket weights): (A) => (B) => (C),
sudden shift from a dollar peg to a basket peg without capital controls (sudden removal of capital controls and sudden shift of basket weights): (A) => (C) => (C),
sudden shift from a dollar peg to a floating regime (sudden removal of capital controls and sudden increase in flexibility of the exchange rate): (A) => (D) => (D), and
sudden shift from a dollar peg to a managed-floating regime (sudden removal of capital controls and sudden increase in flexibility of the exchange rate with occasional interventions): (A) => (D) => (E) => (D).
The first policy is maintaining a dollar peg (A). The monetary authority imposes capital controls and fixes a weight on the dollar rate at 1. The second policy includes a transition period (B), which reflects an adjustment period of capital controls and basket weights. This policy starts with a dollar peg and undergoes a transition period (B) and arrives at a basket peg without capital controls (C). The third policy does not include a transition period (B); therefore, the monetary authority shifts from a dollar peg to a basket peg without any interim period, implying the economy will suddenly jump to the desired basket peg (C). The fourth is that the monetary authority shifts from a dollar peg to a floating regime without a transition period (D), implying that the economy will suddenly jump to a floating regime. The fifth policy is that the monetary authority shifts from a dollar peg to a managed-floating regime without a transition period. Under a managed-floating regime, if the exchange rate fluctuation is significant, the monetary authority intervenes in the foreign exchange market to maintain the exchange rate at a constant rate (E). Otherwise, the monetary authority allows the exchange rate to fluctuate as long as the exchange rate does not deviate substantially from its desired level.
We assume that the time interval for the initial dollar peg is . Furthermore, we regard the transition period as
and the time interval after the authority reaches the target regime as
. We set a discount factor as
.
A. Maintaining a Dollar Peg (1)
B. Gradual Adjustment to a Basket Peg without Capital Controls (2)










C. Sudden Shift to a Basket Peg without Capital Controls (3)









D. Sudden Shift from a Dollar Peg to a Floating Regime (4)
The impacts of exchange rate volatility associated with the shift are included in the second term on the right-hand side of Equation (31).
E. Sudden Shift from a Dollar Peg to a Managed-Floating Regime (5)











VI. Comparison of Transition Policies
In this section, we consider the optimal policy for a monetary authority seeking to stabilize output fluctuations. As mentioned earlier, Appendix 4 provides a similar discussion with regard to price stability. Our discussion in this section centers on two questions: Is it desirable for the monetary authority to maintain a dollar peg over the long run? And, what would be an optimal policy if the authority decides to deviate from the status quo? We advance our argument in three steps. First, we apply some implications from static analysis into this dynamic context. Then, we compare the cumulative loss of the current policy, (1), with other transition policies. After we find that maintaining a dollar peg is not the appropriate solution over the long run, we look for an optimal outcome for the monetary authority among the four transition policies.
A. Implications of Static Analysis
B. Comparisons of Policy (1) and Other Transition Policies

This means that if t is shorter than the threshold time period , then the cumulative loss of maintaining a dollar peg is smaller than that of transitioning to a basket peg. This could happen only if the exchange rate volatility negatively affects the economy.23 However, if t is longer than the threshold time period
, then a cumulative loss of maintaining a dollar peg is higher than a sudden shift to a desired basket peg. The longer the time period for adopting a basket peg, the more benefits the economy will obtain from shifting to a basket peg, as shown in Equation (34′).

These findings imply that the longer the period of adopting a floating regime, the greater the benefits to the economy from shifting to a floating regime as shown in Equation (35′). Summarizing the above results, maintaining a dollar peg is desirable only in the short-term (i.e., ). As the target time period is extended, the economy can realize greater benefits from shifting to either a basket peg or a floating regime.
C. Comparisons among Transition Policies
Policy . | Benefits . | Costs . |
---|---|---|
(1) Maintaining a dollar peg | No volatility of ![]() | Limited capital inflows |
(2) Gradually shifting to a basket peg | Small volatility of ![]() | Time required to reach stable regime |
Small volatility of ![]() ![]() | ||
Small deviations of ![]() ![]() | Adjustment costs | |
(3) Suddenly shifting to a basket peg | Stable regime achieved immediately (higher benefits under stable regime) | High volatility of ![]() |
No adjustment costs | High volatility of ![]() ![]() | |
Small deviations of ![]() ![]() | ||
(4) Suddenly shifting to a free-floating regime | Stable regime achieved immediately (higher benefits under desirable regime) | High volatility of ![]() |
No adjustment costs | High volatility of ![]() ![]() | |
Large deviations of ![]() ![]() | ||
(5) Suddenly shifting to a managed-floating regime | Stable regime achieved immediately (higher benefits under desirable regime) | High volatility of ![]() |
No adjustment costs | No monetary policy autonomy during interventions | |
Limited exchange rate fluctuations |
Policy . | Benefits . | Costs . |
---|---|---|
(1) Maintaining a dollar peg | No volatility of ![]() | Limited capital inflows |
(2) Gradually shifting to a basket peg | Small volatility of ![]() | Time required to reach stable regime |
Small volatility of ![]() ![]() | ||
Small deviations of ![]() ![]() | Adjustment costs | |
(3) Suddenly shifting to a basket peg | Stable regime achieved immediately (higher benefits under stable regime) | High volatility of ![]() |
No adjustment costs | High volatility of ![]() ![]() | |
Small deviations of ![]() ![]() | ||
(4) Suddenly shifting to a free-floating regime | Stable regime achieved immediately (higher benefits under desirable regime) | High volatility of ![]() |
No adjustment costs | High volatility of ![]() ![]() | |
Large deviations of ![]() ![]() | ||
(5) Suddenly shifting to a managed-floating regime | Stable regime achieved immediately (higher benefits under desirable regime) | High volatility of ![]() |
No adjustment costs | No monetary policy autonomy during interventions | |
Limited exchange rate fluctuations |
Source: Authors’ compilation.
These benefits and costs are taken into account by evaluating the cumulative losses expressed by Equations (29), (30), and (31). By comparing cumulative losses, we can analyze an optimal transition policy if the monetary authority should decide to shift from a dollar peg.


This implies that the longer the transition period of adjustment, the more benefits will accrue from reaching the target regime suddenly. However, as long as the interval for the transition period is in the range, , the monetary authority will benefit from avoiding large exchange rate fluctuations.





These statements show that the economy will be better off choosing a sudden shift to a basket peg rather than to a floating regime, given the large exchange rate fluctuations. However, if the magnitude of the exchange rate fluctuations is relatively modest, the monetary authority would be better off adopting a floating regime.







Thus, it is desirable for the economy to shift to a managed-floating rather than to a free-floating regime, given the large exchange rate fluctuations during the short periods of interventions. However, if the magnitude of the exchange rate fluctuations during these intervention periods is relatively small, the economy would be better off shifting to a free-floating regime to take advantage of having monetary policy autonomy for the whole period. When comparing shifts to a basket peg or a managed-floating regime, we are not able to derive explicit theoretical conditions on time intervals. Instead, we rely on the quantitative estimates explained in section VII.
Summarizing these results, when choosing between policy (2) and policy (3), the longer the transition period of the adjustment, the more benefits the monetary authority will gain from immediately implementing a basket peg. When comparing sudden shifts to either a basket peg, policy (3), or a free-floating regime, policy (4), the welfare gains to the economy are greater under a shift to a basket peg if the exchange rate fluctuations are large. Similarly, if we compare between a sudden shift to a managed-floating regime, policy (5), and a free-floating regime, policy (4), the economy would be better off shifting to a managed-floating regime, given the large exchange rate fluctuations during the short intervention periods.
VII. Simulation Exercises for the People's Republic of China and Thailand
In this section, we report simulation exercises using data for the PRC and Thailand. To accurately determine cumulative losses over specified periods, we use both estimated coefficients and actual exchange rate and exchange rate risk shocks specific to the PRC and Thailand.25 We quantify cumulative losses for the four transition policies and maintaining the status quo. Our quantitative results support the theoretical findings explained in sections VI.B and VI.C. First, among the five policies, maintaining a dollar peg, policy (1), leads to the greatest losses, i.e., the least desirable policy in both the PRC and Thai cases. Second, when contrasting two transition policies to a basket-peg regime, a gradual adjustment rather than a sudden shift is desirable in both economies. Finally, when comparing a shift to a basket peg with a shift to a floating regime, it is better to shift to a basket peg in Thailand for both output and price level stability. In contrast, the optimal policy is dependent upon policy objective in the PRC.
A. Data and Regression Results
We use Chinese and Thai quarterly data from the IMF's International Financial Statistics.26 All variables except interest rates are defined in natural logs. For exchange rate risk, we use the variance of monthly exchange rate data as a proxy. Applying the Dicky–Fuller generalized least squares (DF-GLS) unit root tests, we find some variables have unit roots. Then we move onto Johansen cointegration tests (Johansen 1992, 1995) and prove that all variables in both the Chinese and Thai samples are stationary.27 We apply the instrumental variable method to estimate coefficients of the model simultaneously with instruments of lagged variables, which are predetermined. We differentiate between two sample periods in each economy based on the exchange rate regime. For the PRC, the two periods are Q1 1999–Q2 2005 for a dollar peg and Q3 2005–Q4 2010 for a floating regime.28 As the PRC has never adopted a de facto floating regime, we use estimated coefficients obtained for a de facto basket-peg period. For Thailand, we set Q1 1993–Q2 1997 as the period for both a dollar peg and a basket peg, and Q3 1997–Q1 2006 for a floating regime.29 A dummy variable is used to exclude impacts of the 1997/98 Asian financial crisis (Q3 1997–Q2 1998) for the Thai case (floating regime). Table 5 reports the estimation results on the basis of the macroeconomic model explained in section IV.A.
. | People's Republic of China . | Thailand . | ||
---|---|---|---|---|
Coefficients Sample . | Fixed (basket peg) Q1 1999–Q2 2005 . | Floatinga Q3 2005–Q4 2010 . | Fixed (basket peg) Q1 1993–Q2 1997 . | Floating Q3 1997–Q1 2006 . |
![]() | N.A. | 0.26*** (0.09) | N.A. | 0.51** (0.07) |
![]() | N.A. | 0.05** (0.03) | N.A. | 0.006 (0.02) |
![]() | 3.20*** (0.89) | 10.13*** (1.89) | 0.05 (0.08) | 1.70** (0.82) |
![]() | 0.23*** (0.05) | 0.50*** (0.10) | 0.94*** (0.19) | 0.44 (0.36) |
![]() | −1.20 (2.51) | 1.27* (0.69) | −0.73*** (0.08) | 0.01 (0.10) |
![]() | 0.70** (0.33) | −0.007 (0.42) | 0.27*** (0.07) | −0.005 (0.08) |
![]() | −0.52 (0.38) | 0.63** (0.25) | −3.73*** (0.50) | 1.13*** (0.34) |
![]() | −36.11 (46.78) | −0.14 (0.77) | 0.05 (0.22) | 0.002 (0.009) |
![]() | 0.40 (1.50) | 8.66 (15.91) | −2.00 (2.55) | 0.53 (0.94) |
![]() | 0.16*** (0.02) | 0.13*** (0.04) | 0.01*** (0.003) | 0.007*** (0.001) |
![]() | −0.04* (0.02) | 0.12** (0.005) | −0.25*** (0.04) | 0.20*** (0.05) |
![]() | −0.06* (0.03) | −0.15** (0.07) | −0.19*** (0.03) | 0.02 (0.02) |
![]() | −1.32*** (0.26) | −0.35*** (0.11) | 0.07*** (0.02) | 0.02 (0.02) |
![]() | −7.28** (3.13) | −0.001 (0.14) | 0.01 (0.06) | 0.002 (0.002) |
![]() | −5.87*** (0.88) | −7.80*** (2.80) | −0.55 (0.66) | −0.30 (0.23) |
. | People's Republic of China . | Thailand . | ||
---|---|---|---|---|
Coefficients Sample . | Fixed (basket peg) Q1 1999–Q2 2005 . | Floatinga Q3 2005–Q4 2010 . | Fixed (basket peg) Q1 1993–Q2 1997 . | Floating Q3 1997–Q1 2006 . |
![]() | N.A. | 0.26*** (0.09) | N.A. | 0.51** (0.07) |
![]() | N.A. | 0.05** (0.03) | N.A. | 0.006 (0.02) |
![]() | 3.20*** (0.89) | 10.13*** (1.89) | 0.05 (0.08) | 1.70** (0.82) |
![]() | 0.23*** (0.05) | 0.50*** (0.10) | 0.94*** (0.19) | 0.44 (0.36) |
![]() | −1.20 (2.51) | 1.27* (0.69) | −0.73*** (0.08) | 0.01 (0.10) |
![]() | 0.70** (0.33) | −0.007 (0.42) | 0.27*** (0.07) | −0.005 (0.08) |
![]() | −0.52 (0.38) | 0.63** (0.25) | −3.73*** (0.50) | 1.13*** (0.34) |
![]() | −36.11 (46.78) | −0.14 (0.77) | 0.05 (0.22) | 0.002 (0.009) |
![]() | 0.40 (1.50) | 8.66 (15.91) | −2.00 (2.55) | 0.53 (0.94) |
![]() | 0.16*** (0.02) | 0.13*** (0.04) | 0.01*** (0.003) | 0.007*** (0.001) |
![]() | −0.04* (0.02) | 0.12** (0.005) | −0.25*** (0.04) | 0.20*** (0.05) |
![]() | −0.06* (0.03) | −0.15** (0.07) | −0.19*** (0.03) | 0.02 (0.02) |
![]() | −1.32*** (0.26) | −0.35*** (0.11) | 0.07*** (0.02) | 0.02 (0.02) |
![]() | −7.28** (3.13) | −0.001 (0.14) | 0.01 (0.06) | 0.002 (0.002) |
![]() | −5.87*** (0.88) | −7.80*** (2.80) | −0.55 (0.66) | −0.30 (0.23) |
N.A. = not applicable.
Notes:
aAs the PRC has never adopted a de facto floating regime, we use estimated coefficients for a de facto basket-peg period.
*** = 10% level of statistical significance, ** = 5% level of statistical significance, * = 1% level of statistical significance.
Source: Authors’ calculations.
B. Simulation Results Using Estimated Coefficients for the People's Republic of China and Thailand
Our simulation algorithm is reported in Appendix 7. We quantify optimal values of instruments and of cumulative losses according to the transition policies. For the exchange rates and exchange rate risks, we use the actual data for Q1 1999–Q4 2010 for the PRC and Q1 1993–Q1 2006 for Thailand. As we define exogenous shocks and other variables as deviations from the long-run values, we use the deviation from the Hodrick–Prescott filtered trend values. We assume the time period for the dollar peg as 1 quarter (), the interval for the transition period as 18 quarters (
), and the period for the target regime as 18 quarters (
).30 Tables 6 and 7 report the values for cumulative losses and optimal instruments for stabilizing output and price levels, respectively, for each of the five policies for both the PRC and Thailand. The optimal instrument values correspond to what we obtained theoretically in section VI.A–VI.E. Cumulative losses are reported in both absolute terms and as a percentage of squared steady-state values (
and
).
A. People's Republic of China . | |||||
---|---|---|---|---|---|
. | Policy (1) . | Policy (2) . | Policy (3) . | Policy (4) . | Policy (5) (TE = 5)a . |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 17.04 | 1.80 | 1.91 | 2.67 | 2.31 |
Cumulative loss (% of ![]() | 23.4 | 2.4 | 2.6 | 3.7 | 3.2 |
B. Thailand | |||||
Policy (1) | Policy (2) | Policy (3) | Policy (4) | Policy (5) (![]() | |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.0069 | 0.0006 | 0.0026 | 0.0052 | 0.0053 |
Cumulative loss (% of ![]() | 15.0 | 1.3 | 5.7 | 11.3 | 11.5 |
A. People's Republic of China . | |||||
---|---|---|---|---|---|
. | Policy (1) . | Policy (2) . | Policy (3) . | Policy (4) . | Policy (5) (TE = 5)a . |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 17.04 | 1.80 | 1.91 | 2.67 | 2.31 |
Cumulative loss (% of ![]() | 23.4 | 2.4 | 2.6 | 3.7 | 3.2 |
B. Thailand | |||||
Policy (1) | Policy (2) | Policy (3) | Policy (4) | Policy (5) (![]() | |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.0069 | 0.0006 | 0.0026 | 0.0052 | 0.0053 |
Cumulative loss (% of ![]() | 15.0 | 1.3 | 5.7 | 11.3 | 11.5 |
N.A. = not applicable.
Notes:
aIf , the cumulative loss is 3.54 (
).
bWe calculate the value of and obtain
= 72.8.
cIf , the cumulative loss is 3.54 (
).
dWe calculate the value of and obtain
0.046.
Source: Authors’ calculations.
A. People's Republic of China . | |||||
---|---|---|---|---|---|
. | Policy (1) . | Policy (2) . | Policy (3) . | Policy (4) . | Policy (5) (TE = 5)a . |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.30 | 0.020 | 0.021 | 0.013 | 0.033 |
Cumulative loss (% of ![]() | 33.0 | 2.2 | 2.3 | 1.4 | 3.3 |
B. Thailand | |||||
Policy (1) | Policy (2) | Policy (3) | Policy (4) | Policy (5) (![]() | |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.0044 | 0.0022 | 0.0028 | 0.0038 | 0.0033 |
Cumulative loss (% of ![]() | 5.6 | 2.8 | 3.6 | 4.8 | 4.2 |
A. People's Republic of China . | |||||
---|---|---|---|---|---|
. | Policy (1) . | Policy (2) . | Policy (3) . | Policy (4) . | Policy (5) (TE = 5)a . |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.30 | 0.020 | 0.021 | 0.013 | 0.033 |
Cumulative loss (% of ![]() | 33.0 | 2.2 | 2.3 | 1.4 | 3.3 |
B. Thailand | |||||
Policy (1) | Policy (2) | Policy (3) | Policy (4) | Policy (5) (![]() | |
Stable regime | Dollar peg | Basket peg | Basket peg | Floating | Managed floating |
Adjustment | N.A. | Gradual | Sudden | Sudden | Sudden |
Optimal instrument value | ![]() | ![]() | ![]() | ![]() | ![]() |
Cumulative loss (value) | 0.0044 | 0.0022 | 0.0028 | 0.0038 | 0.0033 |
Cumulative loss (% of ![]() | 5.6 | 2.8 | 3.6 | 4.8 | 4.2 |
N.A. = not applicable.
Notes:
aIf , the cumulative loss is 3.54 (
).
bWe calculate the value of and obtain
= 0.91.
cIf , the cumulative loss is 0.0033 (
).
dWe calculate the value of and obtain
0.079.
Source: Authors’ calculations.
Tables 6 and 7 confirm the theoretical findings discussed in section VI.B–VI.C. First, among the five policies, maintaining the dollar peg, policy (1), leads to the greatest loss in terms of both stabilizing output and the price level in the PRC and Thailand. This is because capital controls limit capital inflows and hinder successful growth over the medium and long run. The results imply that these economies would be better off shifting to a target basket peg or a floating regime.
Second, comparing the two transition policies to a basket peg, it is desirable in terms of stabilizing output and the price level for both the PRC and Thailand to pursue a gradual adjustment rather than a sudden shift. Volatility in interest rates associated with a sudden shift is substantially high and dampens output. On the contrary, setting the interval of transition that is long enough helps mitigate the volatility of interest rates associated with a gradual shift. Moreover, the optimal weights of policy (2) and policy (3) are different, as explained in section V.B–V.C.31 Third, when comparing shifting to a basket peg with shifting to a floating regime in Thailand, shifting to a floating regime leads to greater losses, suggesting that the economy would be better off shifting to the desired basket peg for both stabilizing output and the price level. As mentioned in section VI.C, this is a case in which the economy can experience the benefits of committing to a basket peg by smoothing the negative impacts of exchange rate fluctuations and following exchange rate expectations. In the case of the PRC, the results are mixed and depend on policy goals. If the monetary authority prefers to stabilize output, it would be better off shifting to the desired basket peg. However, if the monetary authority chooses price level stability, its decision should be to shift to a floating regime. This is because unlike the choice to stabilize output, there are fewer negative impacts on domestic prices associated with exchange rate fluctuations.
Finally, a shift to a managed-floating regime is less desirable than a move to a basket peg. For Thailand, this is true in terms of both output and price level stability. This is the case for the PRC as well since shifting to a managed-floating regime results in greater losses than shifting to a basket peg. A basket peg is preferable because interventions in the foreign exchange market under a managed-floating regime lead to greater losses resulting from the lack of monetary policy autonomy for the monetary authorities during intervention periods.
VIII. Conclusions
Given observed shifts in exchange rate regimes in emerging market economies, particularly in East Asia, we attempt to overcome the limitations in static and conventional dynamic analyses. Our paper proposes a new dynamic transition analysis on the basis of a small open economy DSGE model. Our proposed analysis differs from existing analyses in that it explicitly explores shifts from a fixed exchange rate regime to a basket peg or a floating rate. We consider four transition policies, as well as maintaining the status quo, and obtain theoretical expressions for the cumulative loss and optimal instrument for each policy.
Our dynamic transition analysis using data for the PRC and Thailand draws the following findings. First, maintaining a dollar peg is found to be desirable only over the short run, indicating that an economy will be better off shifting to either a basket peg or a floating regime over the long run. Second, given the choice between a gradual adjustment, policy (2), toward the target basket peg or a sudden shift to the target basket peg, policy (3), greater benefits accrue to the economy from a gradual adjustment over a longer transition period. Third, given the comparison between sudden shifts to a basket peg, policy (3), or to a floating regime, policy (4), the welfare gains to the economy are maximized under a shift to a basket peg if the exchange rate fluctuates significantly. Finally, it is less desirable to adopt a shift to a managed-floating regime than to move to a free-floating regime as the monetary authority lacks monetary policy autonomy during interventions periods.
However, current analysis is still limited to a medium-run perspective rather than a long-run perspective of 20 years or more. There is a possibility that an economy would be better off adopting a floating regime over the longer horizon (20–40 years). If this were the case, the question of whether an economy opts to take a one-stage shift (directly to a floating rate) or a two-stage shift (with a basket peg as an intermediate regime) will remain a future research topic.
References*
Notes
See Yoshino, Kaji, and Asonuma (2015c) for more details.
Yoshino, Kaji, and Asonuma (2012) analyze a comparison between a basket peg and a floating regime by implementing specified instrument rules for the cases of Singapore and Thailand.
Yoshino, Kaji, and Asonuma (2015b) explore the cases of Malaysia and Singapore, without changes in capital account management, following the PRC's transition to a desirable regime.
Yoshino, Kaji, and Asonuma (2015a) explore whether actual policies that have been implemented by East Asian economies since the 1997/98 Asian financial crisis follow or deviate from theoretically desirable policies over the medium and long run.
According to the IMF (2009, 2011), de jure exchange rate arrangements are those which the authorities have officially announced. On the contrary, Ilzetzki, Reinhart, and Rogoff (unpublished) define alternative classifications of exchange rate arrangements based on market-determined exchange rates. Their de facto classifications enable us to assess the underlying monetary policy and the ability of an economy to adjust to external imbalances. Appendix 1 reports the recent transitions of de facto regimes.
Ma and McCauley (2011) find that in the 2-year period from mid-2006 to mid-2008 the Chinese renminbi strengthened gradually against trading partner currencies within a narrow band.
Yoshino, Kaji, and Ibuka (2003) analyze the effectiveness of capital controls and fixed exchange rates in the case of Malaysia.
Yoshino, Kaji, and Asonuma (2015c) describe examples of economies that have benefited from each of these types of adjustments.
We assume that and
at the long-run equilibrium.
Expressions ,
,
,
,
,
are shown in Appendix 2.A.
An alternative is to assume that the monetary authority sets an optimal interest rate under a floating regime. In this case, the interest rate becomes exogenous and the money supply becomes endogenous. Our theoretical and quantitative results remain unchanged.
Yoshino, Kaji, and Asonuma (2004) confirm that this is also the case for two small open economies that are interdependent.
Current loss function (i.e., output stability or price level stability) is one of the conventional loss functions commonly used in the literature on monetary policy and exchange rate regimes. See Woodford (1999); Clarida, Gali, and Gertler (2001, 2002); Svensson (2000); and Walsh (2003) for more details. In the literature, none of the existing studies define stabilizing export growth as a policy objective for monetary authorities since exports are one component of gross domestic product (output). The recent literature (see, for example, Woodford 2003) derives a conventional loss function from optimization of the representative household. The traditional loss function is found to be an approximation of the level of expected utility of the representative household. An emerging stream of studies explores the welfare consequences of using a conventional loss function versus the microfounded loss function (see, for example, Paez-Farrell 2014). In the context of our analysis, the main benefit of using the microfounded loss function would be a potentially better measurement of welfare. But this comes at the cost of making it much harder and less precise to obtain measurements due to setting less established parameter values. Both 1 percentage point positive and negative deviations from potential output are treated symmetrically in the model, given that we measure the loss function in terms of the sum of squares of the deviations of output from potential output. This is because a positive deviation is also negatively influencing the economy as it often triggers high rates of consumer and asset price inflation.
Yoshino, Kaji, and Asonuma (2004) find that this is also the case for two small open economies, which are mutually dependent in a static analysis.
As explained in section V.C, the effect of exchange rate volatility due to the shift is included in the expression of the cumulative loss under policy (3). Therefore, when the length of time under the target regime is short, the loss of maintaining the current regime is smaller than that of policy (3) because the monetary authority can avoid the negative effects of exchange rate volatility associated with the shift.
For components of costs, estimates based on numerical analysis for the PRC and Thailand are provided in Appendix 5.
An alternative method is to take commonly used parameters that are not specific to the PRC and Thailand and draw shocks from specified distributions. Then, for robustness, we apply sensitivity analysis. The cases of Malaysia and Singapore are discussed in Yoshino, Kaji, and Asonuma (2015b).
For more details on the data, see Appendix 6.
Results of unit root tests and cointegration tests are reported in Appendix 6.
Yoshino, Kaji, and Asonuma (2014) find empirically that the estimated weight of the US dollar rate in the currency basket of the PRC decreased from 1.0 to 0.82 over the sample period.
The sample of observations under a dollar peg and a basket peg is slightly limited due to a de facto dollar peg in Thailand.
Appendix 8 explores the optimal basket weights under different time intervals for policies (2) and (3).
The optimal basket weights that we identify for the PRC and Thailand are different from those in Ogawa and Shimizu (2006), which were calculated based on shares of regional gross domestic product (measured at purchasing power parity) and trade volume shares.
We assume that exchange rate risk terms have a mean of zero, implying and
.
ADB recognizes “China” as the People's Republic of China and “Hong Kong” as Hong Kong, China.
APPENDIX
Appendix 1. De Jure Exchange Rate Regime and Capital Account Measures
Nominal Exchange Rates of ASEAN+3 Currencies against the US Dollar (January 1997 = 1, excluding Indonesia)
Nominal Exchange Rates of ASEAN+3 Currencies against the US Dollar (January 1997 = 1, excluding Indonesia)
Economy . | 1999 . | 2002 . | 2005 . | 2008 . |
---|---|---|---|---|
People's Republic of China | De facto peg | De facto peg | Moving band that is narrower than or equal to +/–2% | De facto peg |
Indonesia | Managed floating | Managed floating | De facto crawling band that is narrower than or equal to +/–5% | De facto crawling band that is narrower than or equal to +/–5% |
Japan | Free floating | Free floating | Free floating | Free floating |
Republic of Korea | Managed floating | Managed floating | Managed floating | Managed floating |
Malaysia | Preannounced peg or currency board arrangement | Preannounced peg or currency board arrangement | De facto peg | De facto crawling band that is narrower than or equal to +/–5% |
Philippines | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–5% |
Singapore | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% |
Thailand | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% |
Economy . | 1999 . | 2002 . | 2005 . | 2008 . |
---|---|---|---|---|
People's Republic of China | De facto peg | De facto peg | Moving band that is narrower than or equal to +/–2% | De facto peg |
Indonesia | Managed floating | Managed floating | De facto crawling band that is narrower than or equal to +/–5% | De facto crawling band that is narrower than or equal to +/–5% |
Japan | Free floating | Free floating | Free floating | Free floating |
Republic of Korea | Managed floating | Managed floating | Managed floating | Managed floating |
Malaysia | Preannounced peg or currency board arrangement | Preannounced peg or currency board arrangement | De facto peg | De facto crawling band that is narrower than or equal to +/–5% |
Philippines | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–2% | De facto crawling band that is narrower than or equal to +/–5% |
Singapore | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% |
Thailand | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% | Moving band that is narrower than or equal to +/–2% |
ASEAN+3 = Association of Southeast Asian Nations plus the People's Republic of China; Japan; and the Republic of Korea.
aThe categories of de facto exchange rate arrangements are (1) no separate legal tender, (2) preannounced peg or currency board arrangement, (3) preannounced horizontal band that is narrower than or equal to +/–2%, (4) de facto peg, (5) preannounced crawling peg, (6) preannounced crawling band that is narrower than or equal to +/–2%, (7) de facto crawling peg, (8) de facto crawling band that is narrower than or equal to +/–2%, (9) preannounced crawling band that is wider than or equal to +/–2%, (10) de facto crawling band that is narrower than or equal to +/–5%, (11) moving band that is narrower than or equal to +/–2%, (12) managed-floating regime, (13) free-floating regime, (14) free falling, and (15) dual market in which parallel market data is missing.
bAccording to Ilzetzki, Reinhart, and Rogoff (Unpublished), if the exchange rate has no drift, it is classified as a fixed parity; if a positive drift is present, it is labeled a crawling peg; and, if the exchange rate also goes through periods of both appreciation and depreciation it is a moving peg. If a band is explicitly announced and the chronologies show a unified exchange market, we label the episode as a band. By computing the probability that the monthly exchange rate change remains within a +/–2% band over a rolling 5-year period, the regime is classified as a de facto narrow band, a narrow crawling or a moving band over the period through which it remains continuously above the 80% threshold.
Source: Ilzetzki, E., C. Reinhart, and K. Rogoff. Exchange Rate Arrangements Entering the 21st Century: Which Anchor Will Hold? London: London School of Economics. Unpublished.
Appendix 2. Solving for Rational Expectations
A. Dollar-Peg Regime (A)
B. Basket-Peg Regime with Weak Capital Controls (B)
C. Basket-Peg Regime without Capital Controls (C)
D. Floating Regime without Capital Controls (D)
Appendix 3. Saddle Path Stability under a Floating Regime
Now we assume some assumptions to satisfy saddle path stability, such as
,
, and
Appendix 4. Price Level Stability
A. Maintaining a Dollar-Peg Regime (1)
B. Gradual Adjustment to a Basket Peg without Capital Controls (2)
C. Sudden Shift to a Basket Peg without Capital Controls (3)
D. Sudden Shift from a Dollar-Peg to a Floating Regime (4)
E. Sudden Shift from a Dollar-Peg to a Managed-Floating Regime (5)
F. Comparison of Transition Policies
Summarizing the results above, maintaining a dollar-peg regime is desirable only in the short run (i.e., .
Appendix 5. Comparison of Transition Policies
. | . | Estimates . | |
---|---|---|---|
Policy . | Costs . | PRC . | Thailand . |
(1) Maintaining a dollar-peg regime | Limited capital inflows | 0.033a | 0.003a |
(2) Gradually shifting to | Time to reach stable regime | 0.003b | 0.000096b |
a basket-peg regime | Adjustment costs | 0.0066c | 0.00000079c |
(3) Suddenly shifting to | High volatility of ![]() | 0.0028d | 0.00000037d |
a basket-peg regime | High volatility of ![]() ![]() | 0.0030e | 0.00018e |
(4) Suddenly shifting to | High volatility of ![]() | 0.0034d | 0.0000038d |
a free-floating regime | High volatility of ![]() | 0.034e | 0.0050e |
Large deviations of ![]() ![]() | 0.0013f | 0.000024f | |
(5) Suddenly shifting to | High volatility of ![]() | 0.0034d | 0.0000038d |
a managed-floating regime | No monetary policy autonomy during interventions | 0.023g | 0.00038g |
. | . | Estimates . | |
---|---|---|---|
Policy . | Costs . | PRC . | Thailand . |
(1) Maintaining a dollar-peg regime | Limited capital inflows | 0.033a | 0.003a |
(2) Gradually shifting to | Time to reach stable regime | 0.003b | 0.000096b |
a basket-peg regime | Adjustment costs | 0.0066c | 0.00000079c |
(3) Suddenly shifting to | High volatility of ![]() | 0.0028d | 0.00000037d |
a basket-peg regime | High volatility of ![]() ![]() | 0.0030e | 0.00018e |
(4) Suddenly shifting to | High volatility of ![]() | 0.0034d | 0.0000038d |
a free-floating regime | High volatility of ![]() | 0.034e | 0.0050e |
Large deviations of ![]() ![]() | 0.0013f | 0.000024f | |
(5) Suddenly shifting to | High volatility of ![]() | 0.0034d | 0.0000038d |
a managed-floating regime | No monetary policy autonomy during interventions | 0.023g | 0.00038g |
PRC = People's Republic of China.
Notes:
aThe estimate is the cumulative losses over 9 quarters (one initial period plus 2 years).
bThe estimate is the difference between the cumulative losses under a transition period of 14 quarters and one of 18 quarters.
cThe estimate is the difference between the cumulative losses based on baseline and on a 20% deviation from the baseline
.
dThe estimate is the change in cumulative losses due to an increase in interest rates originally driven by a 0.001-unit deviation shock.
eThe estimate is a change in cumulative losses due to a 0.001-unit shock.
fThe estimate is a change in cumulative losses due to a 0.001-unit shock.
gThe estimate is a fraction of cumulative losses during intervention periods.
Source: Authors’ calculations.
Appendix 6. Sources of Data, Unit Root, and Cointegration Tests
Variables . | Definition . | Economy . | Source . |
---|---|---|---|
![]() | Nominal US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Nominal yen exchange rate | PRC, THA | IMF IFS |
![]() | Real US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Real yen exchange rate | PRC, THA | IMF IFS |
![]() | Nominal dollar–yen exchange rate | JPN | IMF IFS |
![]() | Nominal government bond yields | PRC, THA | IMF IFS |
![]() | Real government bond yields | PRC, THA | IMF IFS |
![]() | Nominal US government bond yields | US | IMF IFS |
![]() | Real money supply (M1) | PRC, THA | IMF IFS |
![]() | Risk premium on US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Risk premium on yen exchange rate | PRC, THA | IMF IFS |
![]() | Change in domestic CPI | PRC, THA | IMF IFS |
![]() | Output gap | PRC, THA | Authors’ calculation |
Variables . | Definition . | Economy . | Source . |
---|---|---|---|
![]() | Nominal US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Nominal yen exchange rate | PRC, THA | IMF IFS |
![]() | Real US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Real yen exchange rate | PRC, THA | IMF IFS |
![]() | Nominal dollar–yen exchange rate | JPN | IMF IFS |
![]() | Nominal government bond yields | PRC, THA | IMF IFS |
![]() | Real government bond yields | PRC, THA | IMF IFS |
![]() | Nominal US government bond yields | US | IMF IFS |
![]() | Real money supply (M1) | PRC, THA | IMF IFS |
![]() | Risk premium on US dollar exchange rate | PRC, THA | IMF IFS |
![]() | Risk premium on yen exchange rate | PRC, THA | IMF IFS |
![]() | Change in domestic CPI | PRC, THA | IMF IFS |
![]() | Output gap | PRC, THA | Authors’ calculation |
CPI = Consumer Price Index, IMF IFS = International Monetary Fund's International Financial Statistics, JPN = Japan, PRC = People's Republic of China, THA = Thailand, US = United States.
We start by applying the DF-GLS unit root tests. The results of the unit root test are presented in Table A6.2. Reflecting the 10% significance critical value on DF-GLS statistics, some variables, such as the real interest rate and the output gap, have a unit root. Then, we move onto Johansen cointegration tests for equations shown in Table A6.3. Using the 5% significance critical criteria, we find cointegration relationships among the variables in these equations for both the PRC and Thailand.
A. People's Republic of China . | |||||
---|---|---|---|---|---|
Variables . | Degree . | Trend . | Lag . | DF-GLS Stat.a . | Results . |
![]() | Level | 0 | 0 | −2.67*** | I(0)b |
![]() | Level | 0 | 1 | −3.06*** | I(0)b |
![]() | Level | 0 | 0 | −1.65* | I(0)b |
![]() | Level | 0 | 8 | 0.17 | |
1st diff. | 0 | 7 | −5.32*** | I(1)c | |
![]() | Level | 0 | 3 | −2.68*** | I(0)b |
![]() | Level | 0 | 5 | −1.88* | I(0)b |
![]() | Level | 0 | 0 | −2.57** | I(0)b |
![]() | Level | 0 | 2 | −3.22*** | I(0)b |
![]() | Level | 0 | 0 | −2.80*** | I(0)b |
![]() | Level | 0 | 0 | −3.31*** | I(0)b |
![]() | Level | 0 | 0 | 0.17 | |
1st diff. | 0 | 0 | −0.684*** | I(1)c | |
![]() | Level | 0 | 8 | 0.14 | |
1st diff. | 0 | 3 | −4.95*** | I(1)c | |
![]() | Level | 0 | 4 | −1.61* | I(0)b |
B. Thailand | |||||
Variables | Degree | Trend | Lag | DF-GLS Stat.a | Results |
![]() | Level | 0 | 0 | −2.90*** | I(0)b |
![]() | Level | 0 | 0 | −3.27*** | I(0)b |
![]() | Level | 0 | 0 | −5.24*** | I(0)b |
![]() | Level | 0 | 0 | −1.07 | |
1st diff. | 0 | 0 | −5.60*** | I(1)c | |
![]() | Level | 0 | 0 | −0.97 | |
1st diff. | 0 | 0 | −4.04*** | I(1)c | |
![]() | Level | 0 | 2 | −2.77*** | I(0)b |
![]() | Level | 0 | 0 | −3.03*** | I(0)b |
![]() | Level | 0 | 0 | −2.21** | I(0)b |
![]() | Level | 0 | 0 | −2.20** | I(0)b |
![]() | Level | 0 | 0 | −3.81*** | I(0)b |
![]() | Level | 0 | 0 | −5.81*** | I(0)b |
![]() | Level | 0 | 0 | −3.23*** | I(0)b |
![]() | Level | 0 | 2 | −0.97 | |
1st diff. | 0 | 3 | −1.83* | I(1)c |
A. People's Republic of China . | |||||
---|---|---|---|---|---|
Variables . | Degree . | Trend . | Lag . | DF-GLS Stat.a . | Results . |
![]() | Level | 0 | 0 | −2.67*** | I(0)b |
![]() | Level | 0 | 1 | −3.06*** | I(0)b |
![]() | Level | 0 | 0 | −1.65* | I(0)b |
![]() | Level | 0 | 8 | 0.17 | |
1st diff. | 0 | 7 | −5.32*** | I(1)c | |
![]() | Level | 0 | 3 | −2.68*** | I(0)b |
![]() | Level | 0 | 5 | −1.88* | I(0)b |
![]() | Level | 0 | 0 | −2.57** | I(0)b |
![]() | Level | 0 | 2 | −3.22*** | I(0)b |
![]() | Level | 0 | 0 | −2.80*** | I(0)b |
![]() | Level | 0 | 0 | −3.31*** | I(0)b |
![]() | Level | 0 | 0 | 0.17 | |
1st diff. | 0 | 0 | −0.684*** | I(1)c | |
![]() | Level | 0 | 8 | 0.14 | |
1st diff. | 0 | 3 | −4.95*** | I(1)c | |
![]() | Level | 0 | 4 | −1.61* | I(0)b |
B. Thailand | |||||
Variables | Degree | Trend | Lag | DF-GLS Stat.a | Results |
![]() | Level | 0 | 0 | −2.90*** | I(0)b |
![]() | Level | 0 | 0 | −3.27*** | I(0)b |
![]() | Level | 0 | 0 | −5.24*** | I(0)b |
![]() | Level | 0 | 0 | −1.07 | |
1st diff. | 0 | 0 | −5.60*** | I(1)c | |
![]() | Level | 0 | 0 | −0.97 | |
1st diff. | 0 | 0 | −4.04*** | I(1)c | |
![]() | Level | 0 | 2 | −2.77*** | I(0)b |
![]() | Level | 0 | 0 | −3.03*** | I(0)b |
![]() | Level | 0 | 0 | −2.21** | I(0)b |
![]() | Level | 0 | 0 | −2.20** | I(0)b |
![]() | Level | 0 | 0 | −3.81*** | I(0)b |
![]() | Level | 0 | 0 | −5.81*** | I(0)b |
![]() | Level | 0 | 0 | −3.23*** | I(0)b |
![]() | Level | 0 | 2 | −0.97 | |
1st diff. | 0 | 3 | −1.83* | I(1)c |
DF-GLS = Dicky-Fuller generalized least squares.
Notes:
aThe critical values for the DF-GLS statistics are 5%, –1.98; and 10%, –0.62. Our results of the unit root are based on a 10% critical value.
bI(0) shows that the variable follows the stationary process at the level.
cI(1) shows that the variable has a unit root of degree 1.
Source: Authors’ calculations.
A. People's Republic of China . | |||||
---|---|---|---|---|---|
Equation . | Variables . | Trend . | Hypothesis . | Trace Statisticsa . | P-valuesb . |
Aggregate demand | ![]() | Deterministic | Nonec | 162.3*** | 0.00 |
![]() | At most 1c | 118.9*** | 0.00 | ||
![]() | At most 2c | 75.8*** | 0.00 | ||
![]() | At most 3c | 36.9*** | 0.00 | ||
![]() | At most 4c | 14.0* | 0.08 | ||
![]() | At most 5c | 2.7* | 0.09 | ||
Aggregate supply | ![]() | Deterministic | Nonec | 171.3*** | 0.00 |
![]() | At most 1c | 121.8*** | 0.00 | ||
![]() | At most 2c | 78.8*** | 0.00 | ||
![]() | At most 3c | 37.8*** | 0.00 | ||
![]() | At most 4c | 14.8* | 0.04 | ||
![]() | At most 5c | 2.7* | 0.09 | ||
B. Thailand | |||||
Equation | Variables | Trend | Hypothesis | Trace Statisticsa | P-valuesb |
Aggregate demand | ![]() | Deterministic | Nonec | 162.3*** | 0.00 |
![]() | At most 1c | 118.9*** | 0.00 | ||
![]() | At most 2c | 75.8*** | 0.00 | ||
![]() | At most 3c | 36.9*** | 0.00 | ||
![]() | At most 4c | 14.0* | 0.08 | ||
![]() | At most 5c | 2.7* | 0.09 |
A. People's Republic of China . | |||||
---|---|---|---|---|---|
Equation . | Variables . | Trend . | Hypothesis . | Trace Statisticsa . | P-valuesb . |
Aggregate demand | ![]() | Deterministic | Nonec | 162.3*** | 0.00 |
![]() | At most 1c | 118.9*** | 0.00 | ||
![]() | At most 2c | 75.8*** | 0.00 | ||
![]() | At most 3c | 36.9*** | 0.00 | ||
![]() | At most 4c | 14.0* | 0.08 | ||
![]() | At most 5c | 2.7* | 0.09 | ||
Aggregate supply | ![]() | Deterministic | Nonec | 171.3*** | 0.00 |
![]() | At most 1c | 121.8*** | 0.00 | ||
![]() | At most 2c | 78.8*** | 0.00 | ||
![]() | At most 3c | 37.8*** | 0.00 | ||
![]() | At most 4c | 14.8* | 0.04 | ||
![]() | At most 5c | 2.7* | 0.09 | ||
B. Thailand | |||||
Equation | Variables | Trend | Hypothesis | Trace Statisticsa | P-valuesb |
Aggregate demand | ![]() | Deterministic | Nonec | 162.3*** | 0.00 |
![]() | At most 1c | 118.9*** | 0.00 | ||
![]() | At most 2c | 75.8*** | 0.00 | ||
![]() | At most 3c | 36.9*** | 0.00 | ||
![]() | At most 4c | 14.0* | 0.08 | ||
![]() | At most 5c | 2.7* | 0.09 |
Notes:
aDenotes 5% critical values.
bDenotes MacKinnon, Haug, and Michelis (1999) p-values.
cDenotes rejection of the hypothesis at the 5% significance level.
Source: Authors’ calculations.
Appendix 7. Simulation Algorithm
The procedure of simulation exercises is the following:
First, we set parameter values as reported in Table 5, which are obtained from regression results.
Time intervals are set as follows:
,
, and
.
For the exchange rates and exchange rate risks, we use the actual data for Q1 1999–Q4 2010 for the PRC, and Q1 1993–Q1 2006 for Thailand.
Second, we numerically compute the value of a one-period loss function for each exchange rate regime (A)–(E) (as specified in section IV.B.1–5).
Third, we calculate the cumulative losses for each transition policy, (1)–(5) (as specified in Section V.A–E on the basis of initial optimal instrument values).
Fourth, we compute the optimal instrument values as specified in section V.A–E, using the cumulative losses derived in the 3rd step.
Fifth, on the basis of optimal instrument values obtained in the 4th step, we compute cumulative losses for each transition policy, (1)–(5).
Appendix 8. Time Intervals and Optimal Basket Weights
We analyze optimal basket weights under a basket peg under different time intervals using Thai data to examine the relationship between the two. First, we consider the case of a gradual adjustment to a basket-peg regime, policy (2). Given a fixed time interval for transition periods (e.g.,
), the optimal basket weight increases as time intervals under the desired basket peg increase. An increase in the length of the periods under the desired basket peg leads to an increase in the share of cumulative losses under the desired basket peg (losses after the economy completes a transition) in total cumulative losses. In the case of Thailand, the increase in the length of periods results in an increase in the weight on the US dollar rate. However, given a fixed time interval under the desired basket-peg
(for instance
), the longer the time intervals for transition become, the higher the optimal basket weight is. An increase in the length of the transition period leads to an increase in the share of cumulative losses during transition in total cumulative losses. This results in an increase in optimal basket weights, indicating the higher relative importance of the US dollar rate for Thailand.
Next, in the case of a sudden shift to a basket-peg regime, policy (3), the longer the time intervals under the desired basket peg, the higher the optimal basket weight becomes. As in the previous case, if the time intervals under the desired basket peg become longer, the share of cumulative losses under the desired basket-peg regime in total cumulative losses increases. An increase in the time interval under the desired basket peg also results in higher optimal basket weights for Thailand.