The exchange rate and macroeconomic determinants: Time-varying transitional dynamics

In this paper, I consider modeling the effects of the macroeconomic determinants on the nominal exchange rate to be channeled through the transition probabilities in a Markovian process. The model posits that the deviation of the exchange rate from its fundamental value alters the market's belief in the probability of the process staying in certain regime next period. This paper further takes into account the ARCH effects of the volatility of the exchange rate. Empirical results generally confirm that fundamentals can affect the evolution of the dynamics of the exchange rate in a nonlinear way through the transition probabilities. In addition, I find that the volatility of the exchange rate is associated with significant ARCH effects which are subject to regime changes.     

Crises, portfolio flows, and foreign direct investment: An application to Turkey

We analyze how financial and economic crises affect the relation between the components of capital flows and their determinants in an emerging economy. Our results suggest that the composition of capital flows matters, crises can explain the volatility of portfolio flows and foreign direct investment, and modeling them as endogenous breakpoints improves the results considerably. By using data from the Turkish economy, we estimate these breakpoints together with the parameters of the model and find that they correspond to international and domestic crises that hit the country. Although both components are affected by similar crises, direct investment reacts strongly to the domestic crisis, while portfolios flows are more sensitive to global financial conditions. Breaks also have an effect on the significance and sign of determinants of each type of international investment. Evidence indicates changes in all coefficients in both investment types and suggests that analyses assuming parameter constancy lead to misleading results if they ignore the influence of endogenous breaks.     

Nonlinear effects of exchange rate volatility on the volume of bilateral exports

In this paper, we investigate empirically the impact of exchange rate volatility on real international trade flows utilizing a 13‐country data set of monthly bilateral real exports for 1980–1998. We compute one‐month‐ahead exchange rate volatility from the intra‐monthly variations in the exchange rate to better quantify this latent variable. We find that the effect of exchange rate volatility on trade flows is nonlinear, depending on its interaction with the importing country's volatility of economic activity, and that it varies considerably over the set of country pairs considered. Copyright © 2003 John Wiley & Sons, Ltd.     

The Impact of Short‐ and Long‐run Exchange Rate Uncertainty on Investment: A Panel Study of Industrial Countries*

We examine the relationship between aggregate investment and exchange rate uncertainty in the G7, using panel estimation and decomposition of volatility derived from the components generalized autoregressive conditionally heteroscedastic (GARCH) model. Our dynamic panel approach takes account of potential cross‐sectional heterogeneity, which can lead to bias in estimation. We find that for a poolable subsample of European countries, it is the transitory and not the permanent component of volatility which adversely affects investment. To the extent that short‐run uncertainty in the CGARCH model characterizes higher frequency shocks generated by volatile short‐term capital flows, these are most deleterious for investment.     

Exchange Rates and Fundamentals: Evidence from Long‐Horizon Regression Tests*

This article considers the long‐run relationship between nominal exchange rates and fundamentals from a different perspective. We apply a long‐horizon regression approach proposed by Fisher and Seater (1993) and find evidence supporting the explanatory power of exchange rate models. In particular, the Taylor‐rule model outperforms other conventional models. We then use the inverse power function (IPF) proposed by Andrews (1989) to investigate the power of the Fisher–Seater test. The IPF analysis provides additional evidence supporting exchange rate models.     

Risk management of precious metals

This paper examines volatility and correlation dynamics in price returns of gold, silver, platinum and palladium, and explores the corresponding risk management implications for market risk and hedging. Value-at-Risk (VaR) is used to analyze the downside market risk associated with investments in precious metals, and to design optimal risk management strategies. We compute the VaR for major precious metals using the calibrated RiskMetrics, different GARCH models, and the semi-parametric Filtered Historical Simulation approach. The best approach for estimating VaR based on conditional and unconditional statistical tests is documented. The economic importance of the results is highlighted by assessing the daily capital charges from the estimated VaRs.     

An empirical application of stochastic volatility models

This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies. We concentrate on the effects of the distribution of the exchange rate innovations for both parameter estimates and for estimates of the latent volatility series. The density of the log of squared exchange rate innovations is modelled as a flexible mixture of normals. We use three different estimation techniques: quasi-maximum likelihood, simulated EM, and a Bayesian procedure. The estimated models are applied for pricing currency options. The major findings of the paper are that: (1) explicitly incorporating fat-tailed innovations increases the estimates of the persistence of volatility dynamics; (2) the estimation error of the volatility time series is very large; (3) this in turn causes standard errors on calculated option prices to be so large that these prices are rarely significantly different from a model with constant volatility. © 1998 John Wiley & Sons, Ltd.     

人民币汇率波动对NFDI波动的影响及其检验

本文通过对我国NFDI资本流动性及其波动性的计算,检验了人民币/美元汇率波动对NFDI波动性的关系。通过实证分析表明,人民币汇率的波动将导致NFDI资本流动的明显不稳定。在理论研究的基础上,引申出其政策含义：在国际资本流动不断加大的今天,我们必须维护人民币/美元汇率的稳定,这样对于有效引导NFDI的资本流动和维护金融稳定都具有重要的意义。     

A multivariate GARCH in mean approach to testing uncovered interest parity: evidence from Asia-Pacific foreign exchange markets

The existence of time-varying risk premia in deviations from uncovered interest parity (UIP) is investigated based on a conditional capital asset pricing model (CAPM) using data from four Asia-Pacific foreign exchange markets. A parsimonious multivariate generalized autoregressive conditional heteroskedasticity in mean (GARCH-M) parameterization is employed to model the conditional covariance matrix of excess returns. The empirical results indicate that when each currency is estimated separately with an univariate GARCH-M parameterization, no evidence of time-varying risk premia is found except Malaysian ringgit. However, when all currencies are estimated simultaneously with the multivariate GARCH-M parameterization, strong evidence of time-varying risk premia is detected. As a result, the evidence supports the idea that deviations from UIP are due to a risk premium and not to irrationality among market participants. In addition, the empirical evidence found in this study points out that simply modeling the conditional second moments is not sufficient enough to explain the dynamics of the risk premia. A time-varying price of risk is still needed in addition to the conditional volatility. Finally, significant asymmetric world market volatility shocks are found in Asia-Pacific foreign exchange markets.     

International foreign exchange agreements and nominal exchange rate volatility: a GARCH application

For eight major national currencies, this study estimates, and tests several hypotheses with, a t-distribution GARCH model of daily spot nominal exchange rate changes. The sample period covered is June 1, 1982 through September 30, 1992. By using likelihood ratio and parameter stability tests, it finds that for most of the currencies considered, both the conditional means and variances of unexpected exchange rate changes experienced statistically significant structural breaks across the five subperiods that are associated with four episodes of international foreign-exchange policy coordination. The study also finds that the orderings of the GARCH-estimated unconditional standard deviations roughly match the orderings of the sample standard deviations across the five subperiods. An explanation is provided for what underlying factors contributed to these structural shifts.     

Exchange rate misalignments,capital flows and volatility

This study investigates the effect of three dimensions of exchange rate misalignments—(i) distance (absolute misalignments), (ii) direction (overvaluation or undervaluation), and (iii) degree (small or large misalignments)—on the overall as well as short-cycle exchange rate volatility. Using data from 1988 to 2014, we find that relative PPP-based exchange rate misalignments increase exchange rate volatility. For developed and developing countries, this increase in volatility is driven mainly by large undervalued misalignments of the U.S. dollar. This finding might be linked to interventions targeting the loss in domestic producers’ competitiveness in global markets. Interestingly, in the case of developed countries, we find this adverse effect on exchange rate volatility also for small absolute misalignments; exchange rate movements close to equilibrium may be associated with ambiguity with respect to future movements in developed countries, which can result in higher exchange rate volatility. Further, the results suggest that, when the dollar is highly undervalued, capital flows have a stabilizing effect on exchange rate volatility in developed countries but a destabilizing effect in developing countries. The finding is consistent with investors’ strategy of taking exchange rate overvaluation and undervaluation into account when engaging in cross-border investments.     

The exchange rate pass-through in the new EU member states

This paper aims to complete our understanding of the relationship between changes in nominal effective exchange rates and prices in the new EU member states. I investigate the exchange rate pass-through to import, producer and consumer prices for ten Central and Eastern European countries with quarterly data from January 1996 to December 2011. In a first step, the pass-through estimates are derived from a dynamic panel data model through the generalized method of moments. A statistically significant exchange rate pass-through to consumer, producer and import prices is found, both in the short and long run. In a second step, I proceed to an individual analysis, country by country, and find support for an increased heterogeneity in the exchange rate pass-through estimates. In a third step, I assess the drivers of the estimated exchange rate pass-through coefficients and find support for a significant impact of exchange rate volatility, inflation volatility, import dependence, and the output gap, as well as the global outlook.     

Conditional heteroscedasticity of exchange rates: further results based on the fractionally integrated approach

A recent article (Tse, 1998 ) published in this journal analysed the conditional heteroscedasticity of the yen–dollar exchange rate based on the fractionally integrated asymmetric power ARCH model. In this paper, we present replication results using Tse's ( 1998 ) yen–dollar series. We also examine the robustness of Tse's ( 1998 ) findings across different currencies, sample periods and non‐nested GARCH‐type models. Unlike Tse ( 1998 ), we find some evidence of asymmetric conditional volatility for daily returns of currencies measured against the dollar or the yen. Copyright © 2004 John Wiley & Sons, Ltd.     

资本管制有效性与中国汇率制度改革

本文在利率平价框架下考察了近十年中国资本管制的效力。我们采用比较类似金融工具在国内外市场的收益率、检验未抛补利率平价理论偏差的平稳性两种方法进行分析。研究表明,尽管资本管制的效力随时间推移有所下降,但境内外美元利差的持续存在以及未抛补利率平价理论偏差的非平稳性仍然足以证明中国的资本管制基本有效。资本管制的有效性在盯住制框架下确保了汇率稳定和一定的货币政策自主性,并且使未来汇率制度弹性化改革可以渐进地推进。     

Independent component analysis for realized volatility: Analysis of the stock market crash of 2008

This paper investigates the factors that drove the U.S. equity market returns from 2007 to early 2010. The period was highlighted by volatile energy and commodity prices, the collapse of insurance and banking firms, extreme implied volatility and a subsequent rally in the overall market. To extract the driving factors, we decompose the returns of the S&P500 sector ETFs into statistically independent signals using independent component analysis. We find that the generated factors have interesting financial interpretations and are consistent with the major economic themes of the period. We find that there are two sets of general market betas during the period along with a dominant factor for energy and materials sector. In addition, we find that the EGARCH model which accommodates asymmetric responses between returns and volatility can plausibly fit the high levels of variance during the crash. Finally, estimated correlations dropped when commodity prices moved higher, but then spiked when the S&P500 crashed in late 2008.     

Higher moment exchange rate exposure of S&P500 firms

We examine the impact of higher order moments of changes in the exchange rate on stock returns of U.S. large-cap companies in the S&P500. We find a robust negative effect of exchange rate volatility on S&P500 company returns. The consumer discretionary and the consumer staples sectors have significant negative exposure to exchange rate volatility suggesting that exchange rate volatility affects stock returns through the channel of international operations. In terms of industries, the household products and personal products industries have significant negative exposure as well. The impact in the financial sector suggests that derivatives and hedging activity can mitigate exposure to exchange rate volatility. We find weak evidence that exchange rate skewness has an effect on S&P500 stock returns, but, find evidence that exchange rate kurtosis affects returns of companies that are more exposed to exchange rate volatility.     

Structural breaks and GARCH models of exchange rate volatility

We investigate the empirical relevance of structural breaks for GARCH models of exchange rate volatility using both in‐sample and out‐of‐sample tests. We find significant evidence of structural breaks in the unconditional variance of seven of eight US dollar exchange rate return series over the 1980–2005 period—implying unstable GARCH processes for these exchange rates—and GARCH(1,1) parameter estimates often vary substantially across the subsamples defined by the structural breaks. We also find that it almost always pays to allow for structural breaks when forecasting exchange rate return volatility in real time. Combining forecasts from different models that accommodate structural breaks in volatility in various ways appears to offer a reliable method for improving volatility forecast accuracy given the uncertainty surrounding the timing and size of the structural breaks. Copyright © 2008 John Wiley & Sons, Ltd.     

Exchange rates and oil prices: A multivariate stochastic volatility analysis

This paper uses the multivariate stochastic volatility (MSV) and the multivariate GARCH (MGARCH) models to investigate the volatility interactions between the oil market and the foreign exchange (FX) market, in an attempt to extract information intertwined in the two for better volatility forecast. Our analysis takes into account structural breaks in the data. We find that when the markets are relatively calm (before the 2008 crisis), both oil and FX markets respond to shocks simultaneously and therefore no interaction is detected in daily data. However, during turbulent time, there is bi-directional volatility interaction between the two. In other words, innovations that hit one market also have some impact on the other at a later date and thus using such a dependence significantly improves the forecasting power of volatility models. The MSV models outperform others in fitting the data and forecasting exchange rate volatility. However, the MGARCH models do better job in forecasting oil volatility.     

Forecasting exchange rate volatility using high-frequency data: Is the euro different?

We assess the performances of alternative procedures for forecasting the daily volatility of the euro’s bilateral exchange rates using 15 min data. We use realized volatility and traditional time series volatility models. Our results indicate that using high-frequency data and considering their long memory dimension enhances the performance of volatility forecasts significantly. We find that the intraday FIGARCH model and the ARFIMA model outperform other traditional models for all exchange rate series.