THE EFFECTS OF ALTERNATIVE EXCHANGE RATE REGIMES ON REAL EXCHANGE RATE VOLATILITY: EVIDENCE BASED ON A NEW DATASET

Do alternative exchange rate regimes affect short‐term real exchange rate volatility differently? The existing empirical evidence is quite mixed with slightly more papers supporting that they do. We show that such lack of consensus is mainly due to current literature limitations regarding the measurement of real exchange rates (RERs), the identification of exchange rate regimes (ERRs), and the control for the incidence of real and nominal shocks. To address these limitations, we construct a novel monthly dataset for 63 countries over the period 1946–2007, which includes market‐determined multilateral RER and a proxy for terms of trade. We find that ERRs indeed affect short‐term real exchange rate volatility differently. While the evidence is generally consistent with Mussa's sticky prices argument, we find that for nonadvanced countries in post‐Bretton Woods there exists a “U‐shape nominal flexibility puzzle of RER.” We also find evidence of a “short‐run RER volatility puzzle.” Having controlled for the incidence of real and nominal shocks, nonadvanced countries' RER volatility remains between 25% and 150% greater than that of the advanced economies. Moreover, the key literature finding that short‐term RER volatility is higher in Bretton Woods (BW) than in post‐Bretton Woods (PBW) for industrialized countries vanishes when using market‐determined multilateral RER instead of official bilateral RER. (JEL F31, F33, F41)     

Interaction between oil and US dollar exchange rate: nonlinear causality,time-varying influence and structural breaks in volatility

This article examines the nonlinear Granger causality and time-varying influence between crude oil prices and the US dollar (USD) exchange rate using the Hiemstra and Jones (HP) test, the Diks and Panchenko (DP) test and the time-varying parameter structural vector autoregression model. By applying the iterated cumulative sums of squares (ICSS) algorithm and the DCC-GARCH model, the effects of structural breaks in volatility of the two markets are also investigated. The empirical analysis indicates that, first, crude oil prices are the nonlinear Granger-cause of the USD exchange rate, but not vice versa. Second, the USD exchange rate exerts a stronger and more stable negative influence on crude oil prices in the short term, and the influence gradually weakens after 2012. Finally, ignoring structural breaks can increase the negative volatility correlation between the oil and USD exchange rate markets, which is particularly remarkable during the financial crisis.     

Real exchange rate misalignments

This paper investigates episodes of real exchange rate appreciations and depreciations for a sample of 85 countries from 1960 to 1998. A Markov Switching Model is used to characterize real exchange rate misalignment series as stochastic autoregressive processes governed by two states corresponding to different means and variances. Our main findings are: first, some countries present no evidence of distinct misalignment regimes; second, for some countries there is no RER misalignment in one of the regimes; and, third, for the countries with two misalignment regimes, the appreciated regime has higher persistence than the depreciated one.     

The real exchange rate,regime changes and volatility shifts

We make use of a data-set with both long span and high frequency to test for purchasing power parity (PPP) while allowing for a structural shift in the volatility of the Mexico–US bilateral real exchange rate (RER). The Kim, Leybourne and Newbold (2002) unit root test, robust to changes in the innovation variance, indicates mean stationarity of the monthly RER, and hence evidence of PPP, for the full sample, 1930–2012, and various subsamples. The persistence of deviations of the real rate from its PPP level as measured by half-lives ranges from 1.37 to 2.41 years.     

Exchange rate volatility and export performance: a cointegrated VAR approach

During the last decades Norwegian exporters have–despite various forms of exchange rate targeting–faced a rather volatile exchange rate which may have influenced their behaviour. Recently, the shift to inflation targeting and a freely floating exchange rate has brought about an even more volatile exchange rate. We examine the causal link between export performance and exchange rate volatility across different monetary policy regimes within the cointegrated Vector Autoregression (VAR) framework using the implied conditional variance from a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model as a measure of volatility. Although treating the volatility measure as either a stationary or a nonstationary variable in the VAR, we are not able to find any evidence suggesting that export performance has been significantly affected by exchange rate uncertainty. We find, however, that volatility changes proxied by blip dummies related to the monetary policy change from a fixed to a managed floating exchange rate and the Asian financial crises during the 1990s enter significantly in a dynamic model for export growth–in which the level of relative prices and world market demand together with the level of exports constitute a significant cointegration relationship. A forecasting exercise on the dynamic model rejects the hypothesis that increased exchange rate volatility in the wake of inflation targeting in the monetary policy has had a significant impact on export performance.     

Revisiting the interest rate–exchange rate nexus: a Markov-switching approach

In this paper the interest rate–exchange rate nexus and the effectiveness of an interest rate defense are investigated empirically. I present a reduced form evidence which characterizes the empirical relationship between interest rates and exchange rates. I use a Markov-switching specification of the nominal exchange rate with time-varying transition probabilities. Empirical evidence from six developing countries: Indonesia, South Korea, the Philippines, Thailand, Mexico, and Turkey indicates that raising nominal interest rates leads to a higher probability of switching to a crisis regime. Thus, the empirical results presented here may support the view that a high interest rate policy is unable to defend the exchange rate. Unlike other studies which consider linear models only, my findings are robust and consistent over different countries and crisis episodes (Asian 1997 crises, Mexico 1994 crisis, and Turkey 1994, 2001 crises). In order to explain the empirical findings, I construct a simple theoretical model by incorporating an interest rate rule in the model proposed by Jeanne and Rose (2002) [Jeanne, O., Rose, A.K., 2002. Noise trading and exchange rate regimes, Quarterly Journal of Economics. 117 (2) 537–569]. The model has multiple equilibria, and under plausible conditions, higher exchange rate volatility is associated with higher interest rates.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

International asset markets and real exchange rate volatility

The real exchange rate is very volatile relative to major macroeconomic aggregates and its correlation with the ratio of domestic over foreign consumption is negative (Backus–Smith puzzle). These two observations constitute a puzzle to standard international macroeconomic theory. This paper develops a two country model with complete asset markets and limited enforcement for international financial contracts that provides a possible explanation of these two puzzles. The model performs better than a standard incomplete markets model with a single non-contingent bond unless very tight borrowing constraints are imposed in the latter. With limited enforcement for both domestic and international financial contracts, the model's asset pricing implications are brought into line with the empirical evidence, albeit at the expense of raising real exchange rate volatility.     

Exchange rate volatility and regime change: A Visegrad comparison

We analyze exchange rate volatility in the Visegrad Four countries during the period in which they abandoned tight regimes for more flexible ones. We account for path dependency, asymmetric shocks, and movements in interest rates. In addition, we allow for a generalized error distribution. The overall findings are that path-dependent volatility has a limited effect on exchange rate developments and that the introduction of floating regimes tends to increase exchange rate volatility. During the period of flexible regimes, volatility was mainly driven by surprises. Asymmetric effects of news tend to decrease volatility under the floating regime. Interest differentials impact exchange rate volatility contemporaneously under either regime, although we find no intertemporal effect of interest differentials. Journal of Comparative Economics 34 (4) (2006) 727–753.     

Has the EMS reduced member-country exchange rate volatility?

Using tests for unit roots, serial correlation, and conditional heteroskedasticity, we find that the stochastic structure of the percentage changes in both the Franc/DM and Lira/DM rates is well described by a low order autoregression with ARCH disturbances. While this assertion is not rejected in either the Pre-EMS or the EMS period, we present evidence indicating a structural shift between sub-periods. In particular, while ARCH is present in each sub-period, its explicit parameterization changes dramatically.Likelihood-ratio tests indicate the desirability of a bivariate analysis, and significant ARCH effects are found in the conditional variances and covariances over both subperiods. Likelihood ratio tests also indicate substantial structural change between the subperiods. The conditional variances of exchange rate innovations are used as natural measures of exchange rate volatility; it is found that volatility decreases substantially for both rates in the EMS period. Furthermore, the Franc shows a relatively greater volatility decrease with the move to the EMS, a result consistent with the narrower parity bands established for the Franc. Finally, the covariation of shocks to the two intra-EMS rates is shown to decrease between the Pre-EMS and EMS periods.     

On the endogeneity of exchange rate regimes

The literature has identified three main approaches to account for the way exchange rate regimes are chosen: (i) the optimal currency area theory; (ii) the financial view, which highlights the consequences of international financial integration; and (iii) the political view, which stresses the use of exchange rate anchors as credibility enhancers in politically challenged economies. Using de facto and de jure regime classifications, we test the empirical relevance of these approaches separately and jointly. We find overall empirical support for all of them, although the incidence of financial and political aspects varies substantially between industrial and non-industrial economies. Furthermore, we find that the link between de facto regimes and their underlying fundamentals has been surprisingly stable over the years, suggesting that the global trends often highlighted in the literature can be traced back to the evolution of their natural determinants, and that actual policies have been less influenced by the frequent twist and turns in the exchange rate regime debate.     

Robust,non-parametric measures of exchange rate variability

Changes in exchange rates are well-known to possess non-Gaussian distributions, yet in testing for differences in exchange rate volatility few researches have examined measures that do not assume Gaussian data. This paper develops a robust, non-parametric measure for comparing exchange rate variability across time. The measures are applied to monthly exchange rate data to test for differences in exchange rate variability across different monetary policy regimes. The comparison show inconsistencies between conclusions based on the classical F -test and the robust, non-parametric equivalent. Using the robust test for changes in exchange rate variability, we do not conclude that variability has increased over time. Increases in variability do occur, but usually only in specific percentiles of the data.     

Effects of volatility shocks on the dynamic linkages between exchange rate,interest rate and the stock market: The case of Turkey

This study analyzes the dynamic relationship between exchange rate (against US dollar), interest rate and the stock market (both in local currency) of Turkey from January 2003 to September 2013. In particular, the paper tries to answer if the correlations between these important variables change abruptly in high volatile periods and if they do, is this change temporary or permanent? In that manner, we first estimate the dynamic correlations between these variables using the VAR(p)–FIAPARCH(1,d,1)–cDCC(1,1) approach. Then, we endogenously detect the volatility shift dates by a novel method of penalized contrast functions and investigate the relation between the dynamic correlations and the high volatile periods. Results reveal that volatility shocks create abrupt changes in the dynamic correlations, however this effect is only short term and do not sustain between consecutive high volatility regimes. Thus, policymakers and investors do not need to be concerned about long run contagion effects.     

Foreign interest rate shocks and exchange rate regimes in East Asia

Using a theoretical dynamic stochastic general equilibrium model and an empirical panel vector autoregression, we assess the transmission of foreign real interest rate shocks on the volatility of various key macroeconomic variables in nine small open economies in East Asia taking into account the role of exchange rate regimes. Both the theoretical and empirical findings confirm the hypothesis that flexible exchange rate may work as a shock absorber when the economy is hit by foreign real interest rate shocks. The findings suggest a clear trade-off between the volatility of real exchange rate and real output to foreign interest rate shocks, both the US and G7 real interest rates, where the responses of real output are mitigated in countries that have more flexible exchange rate regime.     

Managing real exchange rate for economic growth: Empirical evidences from developing countries

Abstract

This article analyses macroeconomic policies capable of influencing the long-run real exchange rate (RER). In this vein, it identifies economic policy tools that can devalue RER, covering a theoretical issue neglected by the economic literature, which argues that competitive exchange rate enhances growth. After discussing the “Trilemma,” we identify those variables that could affect RER without constraining monetary policy or exchange rate regime choice. In what follows, we model the probability of achieving an undervalued (small or large) RER for a sample of 14 developing countries from 1980 to 2010 (30?years) by applying econometric techniques for discrete choice and censored data. Afterwards, we compare the results for Latin American nations with Asian ones. They suggest that competitive exchange rate requires different approaches depending on the region. Moreover, Latin American countries need to take on additional policies so that interventions in the foreign exchange market become effective.     

“New” monetary policy instruments and exchange rate volatility

Turkish economy has been suffering from rises in financial flows since the last two decades that these flows have raised financial stability challenges across emerging economies including Turkey. Regarding the ability of the central banks to decrease the financial risks including volatile exchange rate, the Central Bank of the Republic of Turkey has designed and implemented a new policy mix. In this study, we investigated the effect of new policy instruments (IRC, RRR and ROM) on the volatilities of US dollar, euro, British pound and basket rate for Turkish economy between January 2, 2002 and December 9, 2014 by using ARMA-GARCH, ARMA-EGARCH and SWARCH models. From the estimation results, we could not reach enough evidence that the IRC and RRR instruments could decrease the volatilities of exchange rates under investigation while the ROM instrument was successful, especially on US dollar and basket rate. We also found strong evidence in favour of asymmetric volatility, indicating that the positive shocks led to greater exchange rate volatility than negative ones.     

Elections, exchange rates and reform in Latin America

In this paper, we study the link between real exchange rate (RER) depreciation and elections in Latin America. Our contribution is threefold. First, we employ a statistical model that takes into account the pervasive conditional heteroskedasticity found in financial data and includes a wide range of macroeconomic variables as regressors. Second, we test whether the wave of central bank reform that swept the region has had any effect on the existence or strength of the electoral cycle in exchange rates. Third, we test an additional hypothesis, namely, that financial liberalization may also be an important variable explaining changes in electoral effects on the real exchange rate. In a panel of 9 Latin American countries with available macroeconomic data and a history of exogenous election dates, we confirm the previous findings that real depreciation intensifies after elections even when modeling the significant conditional heteroskedasticity in these data. We also show, for the first time in the literature, that post-election exchange rates are significantly less predictable. We go on to test whether central bank reform has influenced the way in which elections affect the RER in Latin America. If reform has been effective at reducing political manipulation of the exchange rate, then any relationship we see between elections and the RER before central bank reform should be mitigated in the post-reform era. We find that the relationship disappears after reform and that post-reform real exchange rates are also significantly less volatile. Finally, we show that financial liberalization seems to have a stronger effect on the conditional variance of the RER than does central bank reform, but reform has a stronger impact on the conditional mean.     

Autoregressive conditional durations: An application to the Surinamese dollar versus the US dollar exchange rate

The parallel market nominal exchange rate of the United States dollar vis-à-vis the Surinamese dollar (USD/SRD) exhibited periods of severe volatility which were often followed by episodes of stability, usually at a cost of sharp depreciations. This study seeks to model this exchange rate using autoregressive conditional duration models. These models are suitable for modelling events occurring with irregular intervals. Exchange rates in developing countries have distinct features compared to exchange rates in countries with well-established and accessible financial markets. A key feature is that for these developing countries, exchange rates only occasionally experience jumps. Our findings suggest that past exchange rate changes appear to be a significant driver of future exchange rate jumps. Furthermore, our results show that money, international reserves, and commodity prices can explain jumps in the market USD/SRD exchange rate.     

Limited asset market participation and the consumption‐real exchange rate anomaly

Abstract Under efficient consumption risk sharing, as assumed in standard international business cycle models, a country's aggregate consumption rises relative to foreign consumption, when the country's real exchange rate depreciates. Yet empirically, relative consumption and the real exchange rate are essentially uncorrelated. This paper shows that this ‘consumption‐real exchange rate anomaly’ can be explained by a simple model in which a subset of households trade in complete financial markets, while the remaining households lead hand‐to‐mouth (HTM) lives. HTM behaviour also generates greater volatility of the real exchange rate and of net exports, which likewise brings the model closer to the data.     

A Bayesian approach to model changes in volatility in the Mexican stock exchange index

We model the changes in volatility in the Mexican Stock Exchange Index using a Bayesian approach. We study the time series with a wide set of models characterized by a Markov switching heterogeneity. The advantage of this approach is that it allows for a broader spectrum of possible models since the estimation of the moments of the parameters is done using the finite mixture distribution MCMC method, without relying on assumptions about large sampling and mathematical optimization. This is particularly relevant for emerging markets’ financial data because of its special characteristics, like being more susceptible to jumps and changes in volatility caused by exchange rate swings, financial crises and oil and commodity prices. For model comparison, we use the marginal likelihood approach and the bridge sampling technique. The best representation of the data is given by a switching model with three states rather than any other autoregressive linear or non-linear model. The periods of volatility found by the model coincide with different financial crisis. Whereas other studies of volatility for the same market impose the Markovian model that captures changes in volatility, we let our model to be defined in an endogenous way.