This paper assesses the evolution of Eastern Caribbean Currency Union (ECCU) real exchange rates over time, and examines whether the region has lost competitiveness. The main finding is that there is little evidence of overvaluation of the Eastern Caribbean (EC) dollar. The relationship summarized above permits the calculation of equilibrium current account balances or norms. The financing of ECCU current account imbalances appears stable. This paper also provides evidence on the distinctive impact that tourism plays in the determination of the real exchange rate in tourism-driven economies.

Abstract

This paper assesses the evolution of Eastern Caribbean Currency Union (ECCU) real exchange rates over time, and examines whether the region has lost competitiveness. The main finding is that there is little evidence of overvaluation of the Eastern Caribbean (EC) dollar. The relationship summarized above permits the calculation of equilibrium current account balances or norms. The financing of ECCU current account imbalances appears stable. This paper also provides evidence on the distinctive impact that tourism plays in the determination of the real exchange rate in tourism-driven economies.

III. The ECCB: Challenges to an Effective Lender of Last Resort20

A. Introduction

1. The impact of a banking crisis on an economy is far reaching. Once a banking crisis starts, its negative effects spread quickly throughout the economy, impairing the payments system, shrinking the credit market, and depressing banking deposits in both solvent and insolvent banks (Hoelscher and Quintyn, 2003). To contain the effects of a banking crisis, governments usually step in with costly support programs to avoid further deterioration of the economy.

2. To protect their economies from a banking crisis, countries have developed tool kits known as “Banking Crisis Resolution Frameworks.” Comprehensive banking crisis resolution frameworks include three main pillars: (i) a legal framework that allows closure of banks in bankruptcy; (ii) an exit strategy for insolvent institutions; and (iii) a lender of last resort (LOLR) facility (Schinasi, 2006).

3. This chapter analyzes the challenges faced by the Eastern Caribbean Central Bank (ECCB) in conducting an effective LOLR role. These challenges are analyzed from two perspectives. The first considers constraints imposed by the limited resources of a central bank under a quasi-currency board arrangement. In this setting, the ECCB’s potential to finance a LOLR facility is constrained by its capacity to access capital markets, or by the tradeoff between using its excess international reserve holdings and protecting the fixed exchange rate regime. Second, the ECCB’s ability to act as a LOLR is constrained by its institutional architecture, as its decision-making body in the ECCB (the Monetary Council), formed by one representative from each member country, could block the use of any LOLR facility. For example, suppose that one member needs to use the LOLR facility and that extending the requested liquidity assistance increases pressure on the exchange rate, placing the sustainability of the quasi-currency board at higher risk. What would be the reaction of currency union members? Would they accommodate the currency risk by approving the LOLR facility knowing its potential risks, or might they block emergency lending to help sustain the currency board?

4. A simple model is presented in order to examine the effects of the ECCB’s institutional arrangement on the administration of a potential LOLR facility. The model focuses on a two-country framework, where the countries share a central bank to pool their international reserves and a common currency. The model highlights the incentives for freerider behavior arising from the specific institutional arrangement underpinning the ECCU. The sequence for free-rider behavior occurs as follows: (i) the central bank grants credit to the country where banks need liquidity; (ii) the central bank’s international reserves decline as the money market returns to equilibrium; (iii) devaluation risk rises with an increasing probability that the currency board becomes unsustainable; and consequently (iv) interest rates increase in both liquidity-supported and nonliquidity-supported countries. As a result, while one country benefits from emergency lending, domestic interest rates and exchange rate risks increase in both countries. To contain this free-rider behavior, the ECCB’s institutional arrangement allows members to block extensive liquidity assistance, introduced in the model of this chapter as veto power. Later, the model is extended to address the possibility of contagion between the two countries.

5. The results of the model suggest that:

  • If the ECCB has limited access to foreign currency to maintain adequate levels of international reserves or has a constrained capacity to sterilize additional liquidity, then use of the LOLR facility would increase exchange rate risk. Hence, the ECCB may not have the capacity to act as a LOLR while protecting the fixed exchange rate.

  • In the case of a country-specific shock, the unaffected country may have an incentive to use its veto power and block the central bank emergency lending requested by the country where banks need liquidity. In this instance, the ECCB would be prevented from acting as a LOLR.

  • However, when both countries face an adverse shock, from either a common shock or contagion, they may weaken their veto power and may agree to extend the LOLR to the currency union’s members. Since increased central bank credit creates pressures on the exchange rate, the ECCB acts as a LOLR but at heightened risk to sustainability of the exchange rate arrangement.

  • The model implies that countries facing country-specific shocks should strengthen their fiscal balances so that they can access international capital markets on their own in order to provide liquidity support to banks. However, in the case of a generalized shock, veto power may not be enough to prevent the central bank from extending credit to country members. Currency union members need therefore to improve their creditworthiness to continue to tap international capital markets and sustain the fixed exchange rate arrangement.

B. The LOLR Facility and its Monetary Effects

6. A LOLR plays a crucial role in providing liquidity in times of financial distress. A LOLR can be defined as “the discretionary provision of liquidity to financial institutions by the central bank in reaction to an adverse shock which causes an abnormal increase in demand for liquidity which cannot be met from an alternative source” (Freixas et. al. 1999). Conventional wisdom is that in a banking crisis the central bank should lend freely, at a penalty rate, and on good collateral.21 These rules suggest that an efficient interbank market could be enough to ensure banks’ access to liquidity. However, in a crisis the interbank market may not work adequately, due to asymmetric information about the banks’ actual situation, opening the possibility of a market failure (Freixas et. al., 2003). In this case, a bank supervisory authority could be in a better position relative to other market players to assess each bank’s financial situation, and the merits of requests for liquidity support. In the case of the ECCU, the ECCB is also the regulatory entity and is the only market player that has access to detailed information on the financial position of individual banks. Moreover, in the ECCU area, banks have limited room to meet liquidity needs in times of financial distress because the formal interbank market is small and the securities market is thin.

7. However, the LOLR function is controversial because it creates moral hazard, as with any form of insurance. A LOLR may encourage banks to take additional risks and may reduce the monitoring of banks by creditors (Garcia and Plautz, 1988). This chapter does not assess competing views on the LOLR, and focuses only on understanding the challenges faced by the ECCB in conducting an effective LOLR facility.

8. Liquidity assistance creates an excess supply of money, raising the question of how the money market returns to equilibrium. The adjustment mechanism depends critically on the exchange rate regime, the availability of external financing and the level of securities market development. In a fixed exchange rate regime, excess liquidity provided by the central bank leads to a loss of international reserves and potentially to a currency crisis (Krugman, 1979; Flood and Marion, 1999), unless it is financed by foreign credit (Fischer, 1999) or neutralized through open-market operations. Successful sterilization of liquidity support requires the availability of necessary instruments, and deep and liquid money and securities markets (He, 2000; Laurens, 2005).

9. In a country with a flexible exchange rate regime and well-developed securities markets, the money market could return to equilibrium through a combination of interest rate and exchange rate adjustments. Open-market operations by the central bank may absorb excess liquidity or distribute part of the adjustment to exchange rate variations without loss of international reserves. However, even with adequate monetary instruments and well-developed securities and foreign exchange markets, sterilization of emergency lending support may result in significant volatility of interest rates (He, 2000).

10. A currency board arrangement imposes tight constraints on liquidity assistance to troubled banks. The sustainability of the exchange rate peg depends on the backing of base money by international reserves. The ECCB oversees a currency board in a multi-country setting. The ECCB-specific institutional arrangement sets tight constraints on the LOLR function. Under the ECCB Act (1983), external reserves must be held at not less than 60 percent of demand liabilities.22, 23 Hence, the central bank would need extra resources to finance their LOLR facility without reducing its international reserve holdings below a legal threshold or below a higher threshold set for precautionary reasons.

11. Foreign credit could be used to fund the LOLR facility. Long-term foreign credit lines would allow the ECCB to address the liquidity needs of banks without increasing short-term foreign exchange rate risk, as the gross backing ratio of international reserves to base money would remain unchanged.24

C. The ECCB Institutional Architecture

12. The ECCB’s institutional arrangement has a specific characteristic that constrains its policy-decision process. Eight representatives of the ECCU countries and territories comprise the Monetary Council, the highest decision-making authority in the ECCB. In this setting, any policy decision that could potentially affect regional asset prices could trigger a dispute between winners and losers among the ECCB Council’s members. The Monetary Council has the power to approve most policy decisions by simple majority, given a quorum of at least five members. However, some policies, particularly those that could affect the sustainability of the currency union, require unanimous vote.

13. Given the ECCB’s decision-making structure, a policy that benefits a group of members while harming others could be blocked by the Monetary Council. For example, suppose that one of the members needs ECCB liquidity assistance. If this assistance is large enough to put in danger the sustainability of the currency union, the other members may have strong incentives to vote against the proposed policy. Formally, the theoretical model set out in the next section introduces this characteristic as a veto power. It implies that there would be some instances where the affected group of countries would be able to block a policy proposal from other members via their veto power.

14. The use of veto power to protect the status quo has been well documented in the political economy literature. In particular, Persson and Tabellini (2002) show that the status quo stability increases with the number of veto powers. Hence, as the number of players with veto power increases, the possibility of changing the status quo declines.

D. The Model

15. The model is set in a two-country framework, where both countries pool their international reserves in a shared central bank. The model assumes a simple utility function to assess the benefits and costs of the central bank’s liquidity assistance. In the utility function L, shown in equation (1), liquidity assistance from the ECCB, x, benefits each member country as measured by f(x). In the case of a liquidity shock, the country places a higher value in having access to a liquidity line. This effect is measured by the parameter P, where P = 1 in tranquil times and is higher than 1 during a liquidity crisis. The costs of the liquidity assistance are captured by h(ε), where ε is the devaluation risk that depends positively on the central bank’s overall liquidity assistance, ε = g(xt) and xt is the central bank’s total liquidity assistance to both countries:25

Li=Pif(xi)h(ε),for country i, where i=1, 2.(1)

16. A country facing a liquidity shock has a strong incentive to request central bank liquidity assistance. A country with a troubled bank (P higher than 1) will have an incentive to request the central bank’s liquidity assistance, as the benefits from liquidity assistance exceed the costs of a higher devaluation risk.

17. Conversely, a country that does not experience a liquidity shock may have an incentive to veto the central bank’s liquidity assistance to another country. The utility of the unaffected country declines with the liquidity assistance to the country facing the shock, due to the higher devaluation risk arising from the presence of liquidity assistance. Consequently, the unaffected country may attempt to use its veto power to block liquidity assistance. Equation (2) states that country i will exercise its veto power to block the implementation of the policy proposal made by country j when that proposal reduces country i’s utility below a predetermined threshold αi, which is defined as a reservation utility level:

Pifi(xi)hi(ε)<αi,for country i.(2)

18. The complete model is constituted by the following equations:

L1=P1f1(x1)h1(ε)+λ2[P2f2(x2)h2(ε)α2](3)
L2=P2f2(x2)h2(ε)+λ2[P1f1(x1)h1(ε)α1],(4)

where the goal of each country is to maximize its utility function, Pifi(xi)hi(ε), arising from accessing the central bank’s liquidity assistance, subject to the other country’s veto power, defined by Pjfj(xj)hj(ε)αj.

19. The model is solved as a noncooperative game between two players. The solution is found by both countries simultaneously maximizing the utility function to choose the optimal size of liquidity requested from the central bank. The solution maximizes simultaneously the utility functions (3) and (4) with respect to x1 and x2. To facilitate the interpretation of the model, the results are derived numerically using well-behaved benefit and cost functions to characterize the utility function. Benefits are specified as f(x1)=xi while the cost related to the exchange rate risk is specified as h(ε)=xt2, wherext=x1+x2.

20. Given the structure of the ECCU financial system, the model also introduces the possibility of contagion between the two countries. Several ECCU banks are linked to banks located elsewhere in the region either through business links or by common ownership. Contagion is modeled by making P, the parametric measure of the needed liquidity assistance in one country, a function of the value of liquidity assistance in the other country. Formally, P2 is a function of P1, that is, P2 = z(P1).

21. Table III.1 summarizes the results of the model using the numerical solution. It is assumed that the original shock starts in country 1. To read the table, each scenario includes the following information: (i) if country 1 faces a shock, P1 > 1; (ii) if contagion occurs to country 2, both P1 and P2 are bigger than 1; (iii) if a country exercises its veto power, the heading of the column reads “veto,” and “no veto” otherwise; and (iv) a country defines its reservation utility level as α = 0.10.

Table III.1.

Numerical Simulation of the Liquidity Assistance Model

article image
Source: Authors’ calculations.

22. Table III.1 evaluates liquidity assistance in the presence of a shock, in the case where the unaffected country exercises its veto power, in the case of contagion, and where there is veto power in the presence of contagion, as follows:

  • Effect of a shock. Compare columns “no shock/no veto” with “shock/no veto”: Country 1 receives liquidity assistance from the central bank after experiencing a shock (domestic credit x1 increases from 0.25 to 0.96). The exchange rate risk increases (h(ε) rises from 0.25 to 1.04), so country 2 reduces its own use of the domestic credit of the central bank (x2 declines from 0.25 to 0.06) to ameliorate the cost created by the higher exchange rate risk. The utility for country 1, L1, is highly positive due to the high value it gives to credit (P1 rises from 1 to 4) while L2, the utility for country 2, declines from 0.25 to −0.80, due to the higher devaluation risk. Hence, the central bank will honor the request of country 1 for liquidity assistance, but at a cost of higher devaluation risk for both countries.

  • Effect of veto. Compare columns “shock/no veto” with “shock/veto”: Country 2, using its veto power, limits the amount of the emergency liquidity that the central bank provides to country 1 despite the shock experienced by this country (central bank credit x to country 1 declines from 0.96 to 0.39). By restricting the access to emergency liquidity, country 2 controls the exchange rate risk (h(ε) declines from 1.04 to 0.33). The key feature is that if country 2 has the possibility of a veto, it will exercise it when its utility reaches its predetermined lower limit. Hence, the central bank may not support the request of country 1 for liquidity assistance.

  • Effect of contagion. Compare columns “shock/no veto” with “shock/no veto/contagion.” Contagion weakens the veto power because both countries will benefit from the central bank’s liquidity assistance. Now that country 2 is also affected by contagion, it will be willing to bear the costs associated with the devaluation risk in order to have access to the central bank’s credit line. Consequently, the central bank’s total liquidity assistance increases from 1.02 to 1.08. Due to contagion, country 2 is also requesting the central bank’s emergency lending, and as a result ends up with negative utility (L2 = −0.23) that is nonetheless higher than when compared with the “shock/no veto” case (L2 = −0.80). Hence, in the case of contagion, both countries receive more central bank liquidity assistance, but at the cost of a higher devaluation risk.

  • Effect of a veto in the presence of contagion. Compare columns “shock/no veto/contagion” with “shock/veto/contagion.” Country 1 scales down its access to the central bank’s liquidity assistance because country 2 exercises its veto power to protect its utility level. However, country 2, facing contagion from country 1, softens its constraints relative to the case of no contagion to allow both countries to have greater access to the central bank’s liquidity assistance (xt = 0.97 compared with xt = 0.58 in the case of “shock/veto”). Hence, both countries benefit from the central bank’s liquidity assistance in the presence of contagion, but with some limitation because country 2 exercises its veto power; devaluation risk is higher compared to the case of no contagion.

Access to international capital markets

23. Accessing international capital markets improves the utility of both liquidity-constrained and unconstrained countries. Access to the international capital market is represented by the term c in equation (5), with its respective interest rate i. Accordingly, this amount increases the availability of credit for the country experiencing the shock f (x+c), but does not affect the devaluation risk because it does not create a disequilibrium between central bank international reserves and base money. The extended model is determined by the following equations:

L1=P1f1(x1+c)h1(ε)ic+λ2[f2(x2)h2(ε)α2]+λ3c(5)
L2=P2f2(x2)h2(ε)+λ1[f1(x1)h1(ε)α1].(6)

24. Table III.2 shows the results of the numerical solution based on the extended model:

  • Effect of a foreign credit line. This exercise compares the results of columns “no contagion/no veto” with “no contagion/veto/FCL.” In the case of “no contagion/veto/FCL,” country 2 exercises its veto power to protect its utility. Country 1 reacts by borrowing from the capital markets (c rises from 0 to 0.44) and simultaneously reduces its borrowing from the central bank (x1 falls from 0.96 to 0.39). Hence, the total amount of credit remains constant at 1.02. The key outcome is that the foreign credit allows a reduction in the exchange rate risk (h(ε) declines from 1.04 to 0.33). As a result, the combined utility level rises (L1+ L2 = 2.45) and surpasses the utility level reached when the currency union has to rely exclusively on the veto power of country 2 to control the exchange rate risk (as shown in the column of “no contagion/veto” (L1+ L2 = 2.26). This case suggests that countries should have a solid fiscal position. The troubled country knows that the unaffected country may block its request for central bank liquidity assistance and therefore will depend on its own resources to address the liquidity challenge. A solid fiscal position for the troubled country would allow it to access international capital markets to provide liquidity to its financial sector.

  • Effect of foreign credit line in the presence of contagion. This exercise compares the results of columns “contagion/veto/FCL” with “no contagion/veto/FCL.” Contagion gives incentives to both countries to request the central bank’s liquidity assistance, and to tolerate a higher devaluation risk (xt = x1+x2+c increases from 1.02 to 1.10 while h(ε) increases from 0.33 to 0.93). However, with easier accessibility to domestic resources countries have less incentive to borrow from international capital markets (c amounts to 0.13 in column “contagion/veto/FCL” which is lower than 0.44 in column “no contagion/veto/FCL”). The higher devaluation risk arises from larger reliance on domestic resources, and the marginal use of foreign credit to address a liquidity shock. The implication is that the currency union’s institutional arrangement of the veto power may not be enough to protect the currency union from exchange rate pressures in the case of a shock with contagion.

Table III.2.

Liquidity Assistance Model—Including Foreign Credit Line

(FCL)

article image
Source: Authors’ calculations.

E. Conclusions

25. Exchange rate risk may prevent liquidity assistance where two countries pool their international reserves in a common central bank. A country that experiences a shock seeks emergency liquidity from the central bank, and in so doing is willing to tolerate higher exchange rate risk. The higher exchange rate risk which arises from liquidity assistance automatically spreads to the other country. However, higher devaluation risk may be unacceptable to the other country, and it vetoes the possibility of granting emergency credit to the troubled country. The veto power is exercised when the utility of the unaffected country falls below the reservation utility level.

26. In the case of contagion, common banking problems weaken the opposition to blocking liquidity assistance. As the unaffected country softens its veto power, the central bank may provide emergency liquidity assistance to both countries, despite the heightened exchange rate risk.

27. A stronger fiscal position enables liquidity assistance in the case of a country-specific shock as well as in the case of contagion. In both cases, access to foreign credit support depends on fiscal sustainability. However the rationale for foreign credit support is different. In a country-specific shock the need for foreign credit arises because the unaffected country in a currency union exercises its veto power and blocks the provision of emergency liquidity by the central bank. The troubled country has to resolve the crisis using its own resources and therefore needs to strengthen its fiscal balances. In the case of contagion the sustainability of the exchange rate of the currency union depends on accessing foreign credit. Accordingly, currency union members have an incentive to increase their creditworthiness by strengthening their fiscal positions.

References

  • Camilleri, M., 2004, “An Institutional Framework for Comparing Emerging Market Currency Boards,” IMF Working Paper WP/04/180 (Washington DC: International Monetary Fund).

    • Search Google Scholar
    • Export Citation
  • Financial Stability Assessment, 2004, “Eastern Caribbean Currency Union,” IMF Country Report No. 04/293, (Washington DC: International Monetary Fund).

    • Search Google Scholar
    • Export Citation
  • Fischer, S., 1999, “On the Need of an International Lender of Last Resort”, Journal of Economic Perspectives, Vol. 13, pp. 85104.

    • Search Google Scholar
    • Export Citation
  • Freixas, X., C. Giannini, G. Hoggarth, and F. Soussa, 1999, “Lender of Last Resort: A Review of the Literature”, Financial Stability Review, Vol. 7, pp. 15167.

    • Search Google Scholar
    • Export Citation
  • Freixas, X., B. Parigi, and J.C. Rochet, 2003, “The Lender of Last Resort: A 21st Century Approach,” Working Paper No. 298 (Frankfurt: European Central Bank).

    • Search Google Scholar
    • Export Citation
  • Flood, R., and N. Marion, 1999, “Perspectives on the Recent Currency Crisis Literature,” International Journal of Finance and Economics, Vol. 4, pp. 126.

    • Search Google Scholar
    • Export Citation
  • Garcia, G., and E. Plautz, 1988, The Federal Reserve. Lender of Last Resort. (Cambridge: Ballinger Publishing Company).

  • He, D., 2000, “Emergency Liquidity Support Facilities,” IMF Working Paper WP/00/79 (Washington DC: International Monetary Fund).

  • Ho, C., 2002, “A Survey of Institutional and Operational Aspects of Modern-Day Currency Boards,” Working Paper No. 100 (Basel: Bank of International Settlements).

    • Search Google Scholar
    • Export Citation
  • Hoelscher, D., and M. Quintyn, 2003, “Managing Systemic Banking Crises,” Occasional Paper 22 (Washington DC: International Monetary Fund).

    • Search Google Scholar
    • Export Citation
  • Krugman, P., 1979, “A Model of Balance of Payments Crisis”, Journal of Money, Credit and Banking, Vol. 11, pp. 31125.

  • Laurens, B.J., 2005, “Monetary Policy Implementation at Different Stages of Market Development,” Occasional Paper 244 (Washington DC: International Monetary Fund).

    • Search Google Scholar
    • Export Citation
  • Persson, T., and G. Tabellini, 2002, Political Economics: Explaining Economic Policy (Cambridge MA: MIT Press).

  • Schinasi, G.J., 2006, Safeguarding Financial Stability: Theory and Practice. (Washington DC: International Monetary Fund).

20

Prepared by Mario Dehesa and Pablo Druck.

21

In many developing countries additional requirements are needed to reduce moral hazard and protect the LOLR from undue political pressure, including well designed lending procedures, clearly laid out authority and accountability (He, 2000).

22

In practice the ECCB backing ratio expanded from around 83 percent in 1983 to fluctuate at over 95 percent since 1995. Despite the quasi-currency board arrangement, the ECCB is permitted to provide credit to its members under specified limits and within the reserve cover requirement (IMF, 2004).

23

In the early 2000s, out of a group of six modern currency board arrangements (CBAs), only Bosnia and Herzegovina explicitly ruled out a LOLR facility. Hong Kong, Argentina and Bulgaria had provisions that explicitly collateralized emergency lending, up to the excess foreign reserves available. Estonia and Lithuania had no formal provisions, but may provide support on a case by case basis (Ho, 2002).

24

Article 24 of the ECCB Act does not specify if the external reserve to cover demand liabilities refers to a gross or net concept. To compute the backing ratio, some CBAs like Bulgaria and Lithuania use a gross concept of foreign assets that does not take into account the central bank’s long-term external obligations coming, for instance, from the IMF and/or the World Bank.

25

The model assumes a fixed exchange rate regime, and therefore the liquidity assistance reduces international reserves, and raises the devaluation risk; total liquidity is measured by xt = x1 + x2.