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The Effective Exchange Rates of Rufiyaa

THE EFFECTIVE EXCHANGE RATES OF RUFIYAA

by: Azeema Adam*

Introduction

Eff ective exchange rates are important currency1 or to test the Balassa-Samuelson indicators for macroeconomic analysis of a eff ect.2 Th e NEER can be used to estimate country. Th ese rates show the relative strength the eff ect of NER changes on domestic prices, of a country’s relative to a basket of which is known as the exchange rate pass- of its major trading partners. Th e through. nominal eff ective exchange rates (NEER) measures the weighted averages of bilateral Th is article3 summarizes the conceptual nominal exchange rates (NER). Th e real and methodological aspects of constructing eff ective exchange rates (REER) are expressed eff ective exchange rates and presents as NEER adjusted for price diff erentials or alternative indices of both NEER and REER infl ation between the home country and its for the . Th e developments and major trading partners. trends in these indices from January 1990 to March 2012 are also briefl y discussed. Real eff ective exchanges rates are most commonly used as an indicator of price or cost competitiveness. In this regard, a depreciation of the REER indicates an Methodology increase in competitiveness of the home country relative to its trading partner, and Th ere are several measures of NEER and conversely, an appreciation is regarded as a REER and various ways in which to construct loss in competitiveness for home country

producers of goods and services. However, * Th e author is from the Monetary Policy and Research Division of given that competitiveness encompasses the Maldives Monetary Authority.

diff erent dimensions of productivity and 1 To fi nd the degree of exchange rate misalignment, the medium market performance in interaction with one to long-run equilibrium REER (ERER) has to be computed. Th e diff erence between the REER and its ERER is the exchange rate other, REER may not always be an appropriate misalignment. measure of competitiveness. REER measures 2 Th e Balassa-Samuelson eff ect refers to the increase in can also be used to evaluate the degree of productivity in the tradable sector relative to non-tradable sector, leading to a rise in the relative price of non-tradables and pushing exchange rate misalignment of the domestic up the real exchange rate of the country (Appleyard, Field, & Cobb, 2010). 3 Th is article draws on a more in-depth research paper of this author on the construction of eff ective exchange rates for the Maldives, prepared as part of her Doctoral thesis and will soon be available in MMA Working Paper Series.

36 Quarterly Economic Bulletin, September 2012 The Effective Exchange Rates of Rufiyaa

them. Th e construction of these indices be- partners of the home country and ಡ౟ౚ ୢୡ౟ gins with a measurement of the NER and the is the bilateral RER with ith country. Th e real exchange rates (RER). Th e NER is nor- mally quoted in domestic currency terms, as ಡ౟ౚ can be expressed as: ୢୡ౟ the units of home currency per unit of foreign currency. Th e RER is the nominal exchange ܲீ௙ (3) כ ௗ௖ܴܧௗ௖ ൌܴܰܧܴܤ of the home country adjusted for the price ܲீௗ level between the home country and the for- eign country. Defi ned this way, an increase in where ܤܴܧܴௗ௖ is the bilateral RER between the NER/RER refl ects a depreciation of the the domestic currency and a foreign currency; home currency and a decrease is appreciation of the home currency in nominal terms. ܲீ௙ is the general price index of the foreign

Th e methodology used for constructing the country; and ܲீௗ is the general price index of eff ective exchange rates for the Maldives is the domestic country. drawn from Hinkle & Nsengiyumva, (1999), because their methodology has shown to be As regards the averaging process that is used appropriate for developing countries with to calculate the weighted average exchange data limitations, as is the case for the Mal- rate indices, geometric averaging is used due dives. Th e following equations are used to cal- to its many advantages. culate the NEER and REER for the Maldives. In many developing countries, the offi cial ex- NEER is expressed as: change rate may not be the only exchange rate used in the country. In countries where there ୫ ಡ (1) are parallel markets for foreign exchange, the  ൌෑ ౟ౚ ୢୡ ୢୡ౟ ୧ୀଵ offi cial and unoffi cial rates might diverge sig- nifi cantly. Th is would alter the outcomes for RER calculations, depending on the NER where ܰܧܴௗ௖ is the index of units of used. If a country does not have a signifi - domestic currency per one unit of foreign cant parallel market, the use of the offi cial exchange rate is suitable. Otherwise, the ex- currency and ɘ୧ୢ is the trade weight change rate prevailing in the parallel market assigned to the ith country (where i = 1.....m). may be the representative exchange rate of Th e REER can be expressed as: the country, and using the offi cial exchange rate to calculate RER would not produce reli-

୫ able estimates (Edwards, 1988). However, the  ൌෑಡ౟ౚ (2) problem with parallel market exchange rates ୢୡ ୢୡ౟ ୧ୀଵ is that they are not always available, especially in a consistent manner.

In the Maldives, parallel markets have oc- where ୢୡ is the REER for domestic casionally emerged in the past, typically fol- currency; m is the number of trading lowing periods of foreign exchange shortages.

Research Articles 37 The Effective Exchange Rates of Rufiyaa

However, no data exists on the parallel market In the Maldives there is a signifi cant diff er- exchange rates or the volume of transactions ence in the importance of trading partners for using parallel market rates. Th erefore, the of- imports, exports and tourism. In this respect, fi cial NER is used. eff ective exchange rates are constructed based on imports weights, exports weights, tourism Based on the trade patterns of the Maldives, weights and aggregate trade weights, separate- trade weights based on exports of goods, im- ly. Th e aggregate trade weights are simply the ports of goods and tourism infl ows are com- relative shares of imports, exports and tour- puted for the country. For each of these cate- ism in the total trade in goods and services. gories, separate weights are calculated for each Th e following equations are used to compute trading partner, allowing them to be used to the four sets of trade weights. construct eff ective exchange rates based on each type of trade. In addition, aggregations Import weights: of these weights are computed to derive over- all trade weights. Constant or fi xed weights ݉௜ (4)  ݓெ ൌ are the simplest to both derive and use in the ௜ ܯ construction of eff ective exchange rates. Fixed Export weights: weights assume that the relative shares of trad- ing partners remain constant over the period. ଡ଼ š୧ (5) ™୧ ൌ  However, this assumption rarely holds, espe-  cially over long periods, during which time Tourism weights: the shares of a country’s trading partners may – change substantially. Th erefore, weighting ୘ ୧ (6) ™୧ ൌ  schemes that allow trade weights to change  from period to period are used in this paper, Aggregate trade weights: as they produce a more representative index of eff ective exchange rates (Richter & Svavars-  ™୘୛ ൌ ™୫ ൅ son, 2006). ୧ ൅൅ ୧   (7)  ™୶ ൅ ™୲ In the Maldives, the importance of the main ൅൅ ୧ ൅൅ ୧ trading partners has shifted signifi cantly over the years, which makes moving weights more ெ ௑ ் ்ௐ suitable. Th erefore, time-varying weights by where ݓ௜ ǡݓ௜ ǡݓ௜ ƒ†ݓ௜ denote the trade assigning three-year averages for each three- weights for the ith country based on imports, year period and chaining the indices as sug- exports, tourism receipts and aggregate trade gested by Ellis (2001) are used to construct in goods and services, respectively. Th e vari- a consistent time-series index of eff ective

exchange rates. Th e justifi cation for using ables ݉௜ܽ݊݀ݔ௜represent the value of imports three-year average weights instead of the more th -common annual weights is to smooth out the and exports of the i country and ݐ௜ repre potentially abnormal movements in year-to- sents the tourist arrivals from the ith country. year variations in trade. Th e variables M and X are the total value of imports and exports of the Maldives, T is the

38 Quarterly Economic Bulletin, September 2012 The Effective Exchange Rates of Rufiyaa

total number of tourists from all the countries Table 1: Countries Included in Trade Weights, by and TR is the total tourism receipts.4 Category Aggregate Imports Exports Tourism Trade Th e trade shares are calculated for the major (M) (X) (T) Weights trading partners in each category using (TW) Equations 4 to 7 for 17 countries. Th ese Austria x x countries account for about 80% of trade in China x x x goods and services for the Maldives. For each France x x x x Germany x x x x year, the trade weights are calculated as the India x x x average of that year and the preceding two Italy x x x years. For example, the trade weights used to Japan x x x calculate the eff ective exchange rates for 2011 Malaysia x x is the three-year average of the period 2009- Russia x x 2011. For any current year, the past three-year Singapore x x x average is used. Th e use of diff erent weights South Korea x x for diff erent periods requires the indices to be x x x chain-linked to make a consistent time series. Switzerland x x Thailand x x x Th erefore, the calculated indices are chain- UK x x x x linked each time to the old series. US x x x x Area x x Since the computations of the diff erent trade Total1/ 10 9 13 17 weights result in a large amount of data, only 1/ This excludes Austria, France, Germany and Italy, as their shares the countries included in each category are are individually allocated. shown in Table 1. Source: Constructed from data obtained from Maldives Monetary

Th e calculation of weights for diff erent country has a trade share of only 2%. However, periods allowed the countries included in UAE is the second largest source of imports, each period to be based on the signifi cance of accounting for 18% of imports during the that country during that period. Although the period 2005–2010. Further, UAE has held a inclusion threshold was determined initially at 10% share in imports since the mid-1990s. 1%, inclusion of some countries in the basket Despite this, the necessary exclusion of UAE was delayed until trade share became more is not viewed as a problem for the calculation signifi cant. Th is is to limit excessive variation of eff ective exchange rates. Th is is because the in the basket of currencies over the period. It weight of UAE was allocated to the United is also important to note that Australia and States, based on two factors. Firstly, both the UAE are not included in the currency basket Maldives and UAE have their exchange rates due to the unavailability of required data.5 Th e pegged to the US dollar. Secondly, UAE is a exclusion of Australia is not signifi cant, as the major transhipment hub, which means that most of its exports are re-exports. Most of the 4 To calculate the tourism shares by country, tourist arrivals re-exports are priced in US dollars and the data are used because tourism receipts by country are not available. bilateral exchange rates may not have much However, when calculating the tourism share in total trade in goods and services, total tourism receipts are used. Since, in Equation 3.8, infl uence on the price of re-exports. the trade weight is calculated using trade shares, use of diff erent units is not an issue. As mentioned earlier, the trade shares of 5 CPI data for Australia is available only on a quarterly basis, while this study uses monthly data. As regards the UAE, monthly currencies included in the currency basket CPI data are available only for 2008, 2009 and 2010.

Research Articles 39 The Effective Exchange Rates of Rufiyaa

account for an average of 80% of trade in Th e price or cost indices typically used in cal- goods and services. While this is a good culating REERs are CPIs, unit labour costs, representation of the overall trade, the issue producer price indices (PPIs, also known as of how to treat the remaining 20% needed to wholesale price indices, WPIs), GDP defl a- be addressed. One option was to normalise tors or export and import unit values. Each of the weights of all the countries based on these indices has its own advantages and dis- their trade shares for the total, to sum up advantages. Of all the indices, CPI is the most to 100%. Another option was to allocate frequently used price index, as it is more read- the share to another currency or currencies ily available than the other indices, especially that might play a more important role than for developing countries. Th e main criticism their actual trade share shows. Th is was the of CPI is that it includes the price of non- case for the US dollar. While the actual tradable items, which may bias the degree of trade of the Maldives with the United States competitiveness measured by the RER (Laf- is relatively small, a large majority of trade rance, Osakwe, & St-Amant, 1998). transactions are carried out in US dollars, as it is a major vehicle currency throughout the In the Maldives, only the CPI and GDP de- world, especially in the Asia region. While fl ators are available. Th e GDP defl ators are this does not preclude the importance of only available annually, whereas CPI data are other currencies in infl uencing the eff ective available on a monthly basis. Recently, the exchange rate indices, this justifi es a higher Maldives have also begun to publish PPI, but weight allocation to the US dollar than its this is available only from 2001 on a quar- trade share warrants. Consequently, the share terly basis. As only CPI data can be used on a of currencies not included in the imports and monthly basis, this study uses CPI as the price exports currency baskets were allocated to the index to construct the monthly RER index. US dollar.

In the case of tourism shares, a slightly diff erent approach is used. Given that a Computation of Real and number of countries not included in the Nominal Eff ective Exchange tourism currency basket are Euro area Rates countries, these shares were allocated on this basis to the euro. Th e remaining was allocated to the US dollar. However, the weights shown To calculate the bilateral RERs and the eff ec- for the euro area in Table 1 do not include the tive exchange rates, the nominal offi cial ex- four Euro countries already included in the change rate of the rufi yaa per US dollar and basket, namely Austria, France, Germany and the cross rates of US dollar against the cur- Italy. Th is is to identify their individual aff ect. rencies of the Maldives’s major trading part- Th e additional allocation of trade shares to the ners are used. Th e data used in the construc- US means that the highest individual trade tion of the indices are from diff erent sources. weight is on the US dollar, at about 25% Th e trade data was mainly collected from the in the aggregated trade weights. While this Maldives Monetary Authority (2009, 2011). percentage is lower for exports and tourism Th e NER and CPI data were extracted from weights, a share of over 40% on average is the IMF’s International Finance Statistics assigned to the US in imports-based weights. (IFS) database. Th e CPI data for China was obtained from the OECD’s Statistics website

40 Quarterly Economic Bulletin, September 2012 The Effective Exchange Rates of Rufiyaa

(OECD), as only the percentage change in Th e NEER and REER using import weights CPI was available on the IFS database. For (M), export weights (X), tourism weights (T) the European countries, Euro conversion and aggregate trade weights (TW) are calcu- rates were used to convert the national cur- lated for the Maldives, both on a monthly rency exchange rates to Euro equivalents prior basis and on an annual basis, for the period to the adoption of Euro. As the trade share of 1990–2012 (end of March). Th e movements other European countries not included in the in these indices are briefl y discussed below. currency basket was allocated to the Euro, the exchange rate and CPI for the Euro area was required. Since this was not available for the period prior to 1998, German data was used Developments in Real and as a reference for the period. For all the data Nominal Eff ective Exchange series, both the monthly and annual data were Rates collected for the period 1990–2010.

Using Equation 1 for NEER and Equation Th e four measures of NEER are shown in 2 for BRER which is then used to calculate Figure 1, and it is seen that all the four NEER REER using Equation 3 exchange rate indices measures have approximately the same trends. are constructed for the Maldives. Th e refer- However, the magnitude of change diff ers ence year for the indices is 2000=100. Since across the indices, especially between the the trade weights used in the construction of tourism-weighted NEER and the import- indices are time varying, the index numbers weighted NEER (NEER(T) and NEER(M)). for diff erent periods were chained-linked. Th e movements in NEER mainly refl ect

Figure 1: Measures of NEER, 1990–2012 Index (2000 = 100) 120 110 100 90 80 70 60 50 40 30 20

NEER(M) NEER(X) NEER(T) NEER(TW)

Note: An increase in the index refl ects an appreciation and a decrease in the index refl ects a deprecia- tion of the rufi yaa.*

* Th e exchange rate indices calculated are measured in domestic currency terms (units of domestic currency per foreign currency). When measured this way, an increase in the index indicates depreciation and a decrease indicates an appreciation. However, the charts and tables on exchange rate indices included in this study show exchange rate measured in foreign currency terms (units of foreign currency per domestic currency), unless otherwise indicated. Th is is for ease of interpretation, especially visually, as an increase in the index represents an appreciation and a decrease represents depreciation.

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Figure 2: Real Effective Exchange Rates, Aggregate Trade-Weighted, 1990-2012 Index (2000 = 100) 120

110

100

90

80

70

60

50

the movements of US dollar against the (TW) depreciated signifi cantly, tracking the main trading partners of the Maldives as the weakening of the US dollar in the international exchange rate of the country is pegged to the market. Th e fourth phase is the period from US dollar. Th e large depreciation of NEER in 2007 to early 2011, up to the change in 2011 is the result of the change in exchange exchange rate regime in April 2011. During rate regime in April 20116 which led to a rapid this period the REER (TW) appreciated, depreciation of the Maldivian rufi yaa by 20% owing to the higher rates of infl ation in the in the following months. Maldives and the relative strength of the US dollar against major currencies. In the Th e movements in aggregate trade-weighted last phase, the REER depreciated sharply REER index are shown in Figure 2. Th e following the depreciation of the NER developments in the REER can be divided with the change in exchange rate regime in into fi ve phases. Th e fi rst phase is the early April 2011. Since then REER has shown to 1990s, during which the REER (TW) was be moderately appreciating due to the high relatively volatile due to the macroeconomic relative prices in the Maldives. imbalances facing the country. As part of the economic stabilisation program that was As seen in Figure 3, the four REERs implemented, the rufi yaa was pegged to the computed—REER(M), REER(X), REER(T) US dollar in 1994. Th e second phase is from and REER(TW)—follow the same patterns, 1994 to the 2001 devaluation of the rufi yaa but the magnitude of change in the indices against the US dollar. Th is was a period of a diff ers. Since the import-weighted REER has steady appreciation of the REER (TW). a higher share of US dollar than the other three indices, the scale of depreciation and Th e third phase is the period following the appreciation over the period is relatively low, July 2001 devaluation of the rufi yaa until compared to other indices. mid-2007. During this period, the REER Th e average rates of depreciations and

6 Th e exchange rate regime was changed in April 2011 from a appreciations for diff erent periods during conventional peg to the US dollar to a peg within a horizontal band 1990–2011 for the four diff erent REER of 20 per cent around a central parity of MVR12.8 per US dollar.

42 Quarterly Economic Bulletin, September 2012 The Effective Exchange Rates of Rufiyaa

Figure 3: Comparison of Different Measures of REER, 1990–2012 Index (2000 = 100) 120

110

100

90

80

70

60

50

REER(M) REER(X) REER(T) REER(TW) indices are shown in Table 2. As also evident expensive, which would increase the costs in from Figure 3, the level of appreciation the tourism sector given the heavy reliance and depreciation for the four indices are of the sector on imports. Moreover, the signifi cantly diff erent from one another. usefulness of REER as a competitiveness Th e tourism-weighted index experienced indicator for the tourism sector is unclear. the largest appreciations and depreciations Apart from the previously mentioned impact compared to other indices. During the period of imports, a large proportion of employees 2001–2007, the REER(T) depreciated by in the tourism sector are foreign workers and 39%, increasing the relative competitiveness their wages are set and settled in US dollars. of the Maldives exports. Th is means that both Th erefore, the relative costs of the tourism exports of goods and tourism services in the sector due to an exchange rate change may Maldives were relatively cheaper for foreign not have the same impact as goods exports. importers or tourists during this period. While Th e negative values for 2011 shows the eff ect this gain in competitiveness in the export of of nominal depreciation of rufi yaa against the goods appears obvious, it is less clear how US dollar due to the exchange rate regime much competitiveness would be gained by the change in April 2011. tourism sector from the REER depreciation. Th is is because the REER depreciation makes Figure 4 compares the aggregate trade- the imports into the country relatively more weighted NEER and REER. Th is shows that

Table 2: REER Appreciations and Depreciations 1990-1995 1995-2001 2001-2007 2007-2010 2011 REER (M) 4.2 24.7 (23.8) 9.8 (5.1) REER (X) 9.0 23.1 (26.3) 12.6 (4.9) REER (T) 15.5 47.8 (39.1) 23.4 (7.1) REER (TW) 9.0 34.0 (31.1) 14.8 (5.9)

Note: a positive (negative) figure indicates an appreciation (depreciation).

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Figure 4: REER and NEER, Trade-weighted, 1990–2012 Index (2000 = 100) 120 110 100 90 80 70 60 50 40 30

REER(TW) NEER(TW)

in the pre-exchange rate peg period, NEER and tourism, weights were calculated for each depreciated signifi cantly, while the REER sector separately and then as an aggregate to appreciated. Th e appreciation of the REER represent total trade in goods and services. was the result of the high rates of infl ation Another issue is the choice of price index. In experienced during that period. REER construction CPI data is used, as this is the only data series available at the required frequency, for the required length of time.

Conclusion Eight indices were calculated for the Maldives for the period 1990–2010, on both a monthly Th is article presented a methodological and annual basis. Th e eff ective exchange rate framework for constructing the REER and indices were relatively stable in the Maldives, NEER for the Maldives. Although the NER although there had been periods of large of the Maldives is fi xed against the US dollar, exchange rate appreciations and periods of the NERs against other major trading partners depreciations that were more moderate. All and the RERs always fl uctuate. Th erefore, it is the indices constructed using the diff erent important to construct these indices for the trade weights showed similar trends, although Maldives, both for use in monitoring their the magnitudes of those changes diff ered. development and for future exchange rate analysis.

Th e construction of eff ective exchange rate involves several issues. One important issue is the choice of trade weights. Th e countries that were included in the trade weights accounted for almost 80% of the trade, and individually accounted for 1% or more of the Maldives trade. Given the signifi cant diff erence in trading partners in relation to imports, exports

44 Quarterly Economic Bulletin, September 2012 The Effective Exchange Rates of Rufiyaa

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Hinkle, L. E. & Nsengiyumva, F. (1999). External real exchange rates: Purchasing power parity, the Mundell-Fleming model, and competitiveness in traded goods. In L. E. Hinkle & P. Montiel (Eds.), Exchange rate misalignment: Concepts and measurement for developing countries (pp. 41-112). New York: Oxford University Press.

Lafrance, R., Osakwe, P. & St-Amant, P. (1998). Evaluating alternative measures of the real eff ective exchange rate (Bank of Cananda Working Paper No.98-20). Ottawa: Bank of Canada.

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