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.     

ADAPTIVE LEARNING AND MONETARY POLICY IN AN OPEN ECONOMY: LESSONS FROM JAPAN

Abstract. Motivated by Japan's economic experiences in recent decades, we incorporate adaptive learning into an open economy dynamic stochastic general equilibrium model to examine the volatility and welfare impact of alternative monetary policies. Comparing four Taylor‐styled policy rules that reflect Japan's monetary policy debates, we first show that imperfect knowledge and the associated learning process induce higher volatility in the economy and that explicit exchange rate stabilization is unwarranted. Moreover, contrary to results under the rational expectation paradigm, we find that while tight inflation controls raise output volatility, they can improve overall welfare under learning by smoothing inflation fluctuations.     

Fitting survey expectations and uncertainty about trend inflation

Many studies document that the inflation rate is governed by persistent trend shifts and time-varying uncertainty about trend inflation. As both these quantities are unobserved, a forecaster has to learn about changes in trend inflation by a signal extraction procedure. I suggest that the forecaster uses a simple IMA(1, 1) model because it is well suited to forecast inflation and it provides an efficient way to solve the signal extraction problem. I test whether this model provides a good fit for expectations from the Survey of Professional Forecasters. The model appears to be well suited to model observed inflation expectations if we allow for stochastic volatility. When I estimate the implied learning rule, results are supportive for the trend learning hypothesis. Moreover, stochastic volatility seems to influence the way agents learn over time. It appears that survey participants systematically adapt their learning behavior when inflation uncertainty changes.     

Terms‐of‐Trade Shocks and Exchange Rate Regimes in a Small Open Economy*

We examine the impact of terms‐of‐trade shocks on key macroeconomic variables by numerically solving a dynamic stochastic general equilibrium model of a small open economy. The model considers nominal price rigidity under different exchange rate regimes. The numerical solutions obtained are consistent with the empirical regularities documented by Broda (2004), in which output responses to shocks are smoother in floats than in pegs; in moving from pegs to floats, the rise in nominal exchange rate volatility is coupled by the rise in real exchange rate volatility; and in both exchange rate regimes, net foreign assets is the most volatile variable.     

“适应性学习”下人民币汇率的货币模型

传统的汇率货币模型建立在理性预期基础上,无法解释现实中的汇率波动。本文放松了理性预期的假定,并引入适应性学习来考察汇改后人民币汇率的货币模型。结果表明:在适应性学习引入之前,货币模型预测能力比不上简单的随机游走模型;而在引入之后,其预测能力大幅改善,很好地模拟了汇率实际波动。因此传统的货币模型并没有完全失效,引入适应性学习后仍然适宜于刻画汇改后人民币汇率的短期走势。     

The Impact of Exchange Rate Volatility on UK Exports to EU Countries

This paper investigates the impact of exchange rate volatility on UK exports to European Union (EU) countries by means of a newly developed ARDL bounds testing procedure to cointegration. Using monthly data disaggregated by market of destination and sectors for the period 1993ml to 2001m6, our results indicate that UK exports to the EU14, at both aggregate and sectoral level, are generally income elastic, relative price inelastic and largely unaffected by short‐term exchange rate volatility. Re‐estimation of the model using a long‐term measure of volatility, however, provides evidence supporting the hypothesis that exchange rate uncertainty has a negative and significant influence on UK exports to EU countries.     

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.     

The Exchange Rate and its Fundamentals in a Complex World

We develop a nonlinear exchange rate model with heterogeneous agents. Some agents adopt a “fundamentalist” forecasting rule, while others use a “chartist” forecasting rule. We show that the model is capable of explaining the empirical puzzles relating to exchange rate movements. In particular, the model explains the “exchange rate determination” and PPP puzzles, the excess volatility, and fat tails in exchange rate returns.     

LOCAL VERSUS PRODUCER CURRENCY PRICING: EVIDENCE FROM DISAGGREGATED DATA*

The pricing behavior of firms is a central issue in international macroeconomics. Using the introduction of the euro as a natural experiment I find that year‐to‐year volatility in import prices among Eurozone members diminished by 4% on average after the introduction of the euro. Additionally, I show that the magnitude of the drop was commensurate with the drop in exchange rate volatility. On the other hand, when looking at exports, I find that the introduction of the euro had no impact on export price volatility. The results support the hypothesis of producer currency pricing.     

Exchange rate exposure: Evidence from China

This paper examines exchange rate exposure using a sample of Chinese firms. To measure RMB exchange rate volatility and jump risk, we apply the autoregressive conditional jump intensity (ARJI) model to the industry‐specific nominal effective exchange rate (I‐NEER) for 13 Chinese manufacturing industries over the period 2001 to 2017, We find that exchange rate risks do affect firm value at the industry level, and the effect is more significant for the jump risks that are more difficult to hedge and in the sample period when hedge activities are less likely to occur. Our results suggest that the exposure puzzle could be a result of the endogeneity of operative and financial hedging. Firm‐level analysis finds that exchange rate risk affects firm value for more than 20% of Chinese firms, and a firm's exchange rate exposure varies with the firm's characteristics.     

AGGREGATION,HETEROGENEOUS AUTOREGRESSION AND VOLATILITY OF DAILY INTERNATIONAL TOURIST ARRIVALS AND EXCHANGE RATES*

Tourism is a major source of service receipts for many countries, including Taiwan. The two leading tourism countries for Taiwan are Japan and the USA, which are sources of short‐ and long‐haul tourism, respectively. As a strong domestic currency can have adverse effects on international tourist arrivals through the price effect, daily data from 1 January 1990 to 31 December 2008 are used to model the world price, exchange rates, and tourist arrivals from the world, the USA and Japan to Taiwan, and their associated volatility. Inclusion of the exchange rate and its volatility captures approximate daily and weekly price and price volatility effects on world, US and Japanese tourist arrivals to Taiwan. The heterogeneous autoregressive model is used to approximate the slowly decaying correlations associated with the long‐memory properties in daily and weekly exchange rates and international tourist arrivals, to test whether alternative short‐ and long‐run estimates of conditional volatility are sensitive to the long‐memory in the conditional mean, to examine asymmetry and leverage in volatility, and to examine the effects of temporal and spatial aggregation. The approximate price and price volatility effects tend to be different, with the exchange rate typically having the expected negative impact on tourist arrivals to Taiwan, whereas exchange rate volatility can have positive or negative effects on tourist arrivals to Taiwan. For policy purposes, the empirical results suggest that an arbitrary choice of data frequency or spatial aggregation will not lead to robust findings as they are generally not independent of the level of aggregation used.     

BAYESIAN ANALYSIS OF GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY AND STOCHASTIC VOLATILITY: MODELING LEVERAGE,JUMPS AND HEAVY‐TAILS FOR FINANCIAL TIME SERIES*

This paper develops a Bayesian model comparison of two broad major classes of varying volatility model, the generalized autoregressive conditional heteroskedasticity and stochastic volatility models, on financial time series. The leverage effect, jumps and heavy‐tailed errors are incorporated into the two models. For estimation, the efficient Markov chain Monte Carlo methods are developed and the model comparisons are examined based on the marginal likelihood. The empirical analyses are illustrated using the daily return data of US stock indices, individual securities and exchange rates of UK sterling and Japanese yen against the US dollar. The estimation results indicate that the stochastic volatility model with leverage and Student‐t errors yield the best performance among the competing models.     

Capital Flows and Exchange Rate Volatility in India: How Crucial Are Reserves?

This paper tests if the adequacy of reserves helps reduce exchange rate volatility in an environment of financial globalization, market‐determined exchange rate and macroeconomic imbalances. It exploits the difference in the period after 2010 when India did not accumulate reserves but faced higher capital flow pressures, relative to a previous managed‐float period marked by significant absorption of surplus capital flows. Along with other determinants, the sensitivity of rupee volatility is examined. The paper finds that adequate reserve holdings significantly reduce exchange rate volatility irrespective of the exchange rate regime; the effect is more through influence upon market sentiment and confidence than actual intervention. It contributes to existing evidence on the role of reserves in mitigating exchange rate volatility amid capital flow swings and offers insights into the policy environment depicted in the trilemma.     

Exchange Rate Movements and Unemployment in the EU Accession Countries—A Panel Analysis

According to the traditional “optimum currency area” approach, not much will be lost from a very hard peg to a currency union if there has been little reason for variations in the exchange rate. This paper takes a different approach, and highlights the fact that high exchange rate volatility may as well signal high costs for labor markets. The impact of exchange rate volatility on labor markets in the CEECs is put to the test, finding that volatility vis‐à‐vis the euro significantly increases unemployment. Hence, the elimination of exchange rate volatility could be considered as a substitute for a removal of employment protection legislation. However, labor market reform could be argued to be an equally worthy strategy, backed up by central bank independence and the adoption of an anti‐inflation monetary policy rule.     

THE POLITICAL CHOICE OF THE EXCHANGE RATE REGIME*

The purpose of this paper is to present a model in which the choice of the optimal exchange rate regime is envisaged in a political setting. We consider a country whose voting population comprises three types of agents, importers, exporters and speculators, who select their position on exchange rate policy according to welfare maximization. As a result, well-defined interest groups are shown to emerge. Each coalition makes contributions to one of two political candidates running for political office in support for their optimal policy intervention. When policy pronouncements by the two candidates are made in terms of exchange rate volatility, the equilibrium consists of two extremes: a fixed versus flexible exchange regime, the latter with bounded volatility [JEL D72, F31].     

Endogenous Exchange Rate Volatility, Trading Volume and Interest Rate Differentials in a Model of Portfolio Selection

This paper considers a portfolio model of exchange rate determination and focuses on endogenous sources of exchange rate volatility. It is shown that, in addition to volatility transmitted by conditionally heteroskedastic interest rates, the larger the serial correlation in interest rates the stronger the effect of interest rate differentials on exchange rate volatility. These features are supported by the data. The paper also looks at the volume–volatility relationship implied by the model.     

Volatility and Spillover Effects of Yen Interventions

We consider the effects of interventions by the Bank of Japan's (BoJ) on the intraday volatility of the US dollar/Japanese yen (USD/JPY) exchange rates and their spillovers to volatility of the euro/JPY exchange rates. We use 15‐minute data during the period 2000–2004 and employ multivariate generalized autoregressive conditional heteroskedasticity (GARCH) modeling and quartile plots of intraday volatility to analyze the intraday effects of the BoJ interventions on exchange rate volatility. The results indicate that the BoJ interventions decrease daily volatility of the USD/JPY exchange rate but increase the volatility of the euro/JPY series. On intervention days, the intraday volatility has different patterns to those on non‐intervention days.     

Nonlinear exchange rate dynamics under stochastic official intervention

Many studies employ non-linear models to explain or forecast the exchange rate and find their superiority. This article builds an exchange rate model of managed float under conditional official intervention. In the model, the government minimizes social loss through a trade-off between targeting the exchange rate and lowering intervention costs. We obtain an endogenous threshold model and derive an analytical solution of the exchange rate stochastic interventions. The implication of a managed float causing a lower volatility of the exchange rate has been found by past empirical studies. Our model provides not only a justification for the central banks' conditional interventions but also a rationale for the use of regime-switching models of two states (intervention vs. non-intervention) in the empirical studies of exchange rates.     

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.     

Non‐linear effect of exchange rate volatility on exports: the role of financial sector development in emerging East Asian economies

This paper empirically examines the role of financial sector development in influencing the impact of exchange rate volatility on the exports of five emerging East Asian countries – China, Indonesia, Malaysia, the Philippines and Thailand – using a GMM‐IV estimation method. The results indicate that the effect of exchange rate volatility on exports is conditional on the level of financial sector development. The less financially developed an economy, the more its exports are adversely affected by exchange rate volatility. In addition, a stable exchange rate seems to be a necessary condition to achieve export promotion via a currency depreciation in these economies.