On the predictability of the distribution of excess returns in currency markets

This paper investigates the predictability of foreign exchange (FX) volatility and liquidity risk factors on returns to the carry trade, an investment strategy that borrows in currencies with low interest rates and invests in currencies with high interest rates. Previous studies have suggested that this predictability could have been spuriously accounted for due to the persistence of the predictors. The analysis uses a predictive quantile regression model developed by Lee (2016) that allows for persistent predictors. We find that predictability changes remarkably across the entire distribution of currency excess returns. Predictability weakens substantially in the left tail once persistence is accounted for, implying a moderate negative predictive relation between FX volatility risk and carry trade returns. By contrast, it becomes stronger in the right tail. Furthermore, we provide evidence that FX volatility risk still dominates liquidity risk after controlling for persistence. These findings suggest that the persistence of the predictors needs to be taken into account when one measures predictability in currency markets. Finally, out-of-sample forecast performance is also presented.     

Time-series properties and predictability of Greek exchange rates

This paper explores the time-series properties and predictability of weekly percentage changes in the Greek drachma exchange rates with respect to the currencies of major trading-partner countries, such as the USA, Germany, the UK, France, Italy and Japan. The analysis is carried out using the EGARCH-M model along with the power exponential distribution. Percentage changes in the Greek drachma with respect to the German mark, the French franc, the Italian lira and Japanese yen are predictable using past information. The volatility of Greek exchange rates is best represented by an EGARCH process and as such is predictable using past volatility measures. Moreover, volatility of the Greek drachma with respect to the German mark and Italian lira positively influences future movements in these exchange rates. The hypothesis that volatility is an asymmetric function of past innovations is rejected in all cases. Following the inclusion of the Greek drachma in the ECU currency basket, its value has been depreciating at a higher rate with respect to the German mark and Italian lira and at a lower rate with respect to the US dollar. Also, its volatility with respect to the German mark, the French franc, and the Italian lira has decreased, whereas its volatility with respect to the US dollar has increased.     

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.     

Do terror attacks affect the dollar-pound exchange rate? A nonparametric causality-in-quantiles analysis

While much significant research has been done to study the effects of terror attacks on stock markets, less is known about the response of exchange rates to terror attacks. We suggest a non-parametric causality-in-quantiles test to study whether (relative) terror attacks affect exchange-rate returns and volatility. Using data on the dollar-pound exchange rate to illustrate the test, we show that terror attacks mainly affect the lower and upper quantiles of the conditional distribution of exchange-rate returns, while misspecified (due to nonlinearity and structural breaks) linear Granger causality test show no evidence of predictability. Terror attacks also affect almost all quantiles of the conditional distribution of exchange-rate volatility (except the extreme upper-end), with the significance of the effect being particularly strong for the lower quantiles. The importance of terror attacks is shown to hold also under an alternative measure of volatility and for an important emerging-market exchange rate as well.     

Implied volatility term structure and exchange rate predictability

This paper provides empirical evidence of the predictive power of the currency implied volatility term structure (IVTS) for the behavior of the exchange rate from both cross-sectional and time series perspectives. Intriguingly, the direction of the prediction is not the same for developed and emerging markets. For developed markets, a high slope means low future returns, while for emerging markets it means high future returns. We analyze predictability from a cross-sectional perspective by building portfolios based on the slope of the term structure, and thus present a new currency trading strategy. For developed (emerging) currencies, we buy (sell) the two currencies with the lowest slopes and sell (buy) the two with the highest slopes. The proposed strategy performs better than common currency strategies – carry trade, risk reversal, and volatility risk premium (VRP) – based on the Sharpe ratio, considering only currency returns, which supports the exchange rate predictability of the IVTS from a cross-sectional perspective.     

Volatility of exchange rate futures and high-low price spreads

This study explores the time-series behavior and the predictability of daily percentage changes in the Japanese Yen futures contracts. The relationship between currency futures volatility and high-low price spreads in the Japanese Yen futures contracts is examined. In addition, this study explores the issue of first- and second-order dependencies in the Japanese Yen futures contract prices changes, address the issue of asymmetric volatility, and examine the extent to which the information contained in the high-low price spreads can be used to predict future Japanese Yen currency futures contract price changes. The analysis is carried out using the EGARCH model. The volatility of the Japanese Yen currency futures price changes is adequately modeled by an EGARCH process and is predictable using information contained in the high-low price spread variables constructed in this study. This study also finds a positive and significant relationship between the spread variable and the conditional mean of price changes, suggesting that current information contained in the spread variable can be used to predict future Japanese Yen currency futures contract price changes. The hypothesis that volatility is an asymmetric function of past innovations is confirmed.     

Predictability in international stock returns using currency fluctuations and forward rate forecasts

We find that currency risk, specifically dollar exchange rate risk, is a determinant in firm stock returns worldwide. Firms exposed to various dollar exchange rate risks worldwide exhibit strong differences in expected returns, and firms with previously high sensitivity to their home country’s exchange rate fluctuation subsequently outperform during the following six to twelve months. This effect is robust across countries, time, exchange rate policies, and macroeconomic environments. We find that information in currency forward rates provides additional, useful information when predicting future returns of these currency-sensitive firms, and dynamic, state-space estimation of currency forward rate term structures complements the predictability.     

UK Multinationals' Effective Use of Financial Currency‐Hedge Techniques: Estimating and Explaining Foreign Exchange Exposure Using Bilateral Exchange Rates

Using a unique dataset of recently available accounting disclosures, this study examines the relationship between UK multinationals' stock returns and changes in the principal exchange rate to which each firm is most exposed. We find more firms with significant foreign exchange exposure estimates using this firm‐specific principal currency data, compared with those exposure estimates using the broad exchange rate index data prevalent in prior studies. The cross‐sectional variations in such principal‐currency exposure estimates are explained in relation to the financial currency‐hedge techniques that each firm specifically identifies as being used to manage its currency risk. In particular, we provide evidence that firms effectively use foreign currency derivatives and foreign‐denominated debt to reduce the currency risk associated with the bilateral exchange rate to which they are most exposed. This study is important to both the academic and the practitioner communities because it represents the first use of publicly available UK disclosures to improve the estimation and explanation of foreign exchange exposure.     

Following the leaders? A study of co-movement and volatility spillover in BRICS currencies

The paper investigates return co-movement and volatility spillover among the currencies of Brazil, Russia, India, China, and South Africa (the BRICS member countries) and four major developed countries from April 2006 to October 2019. Using Bloomberg daily data on exchange rates, the study employs a flexible multivariate generalized autoregressive conditional heteroskedasticity (MGARCH)–dynamic conditional correlation (DCC) model and a vector autoregressive (VAR)–based spillover index, as the empirical strategy. Along with evidence of exchange rate volatility in BRICS currencies, among which the Russian ruble and the Chinese yuan are explosive, the econometric estimation results show the presence of significant return co-movement and volatility spillover among the foreign exchange markets across different countries. The currency markets in developed countries, as leaders, are found to transmit volatility mostly to BRICS currency markets, which are net receivers. The degree of spillover, however, varies across countries, with Brazil and Russia passing on volatility to the developed countries whereas India, China, and South Africa receive volatility from their developed counterparts.     

Sovereign rating changes—Do they provide new information for stock markets?

The purpose of this paper is to examine the impact of sovereign rating changes on international financial markets using a comprehensive database of 42 countries, covering the major regions in the world over the period 1995–2003. In general, we find that rating agencies provide stock and foreign exchange markets with new tradable information. Specifically, rating upgrades (downgrades) significantly increased (decreased) USD denominated stock market returns and decreased (increased) volatility. Whereas the mean response is contributed evenly by the local currency stock returns and exchange rate changes that make up the USD returns, only the foreign exchange volatility was behind the USD denominated return volatility. In addition, we find significant asymmetric effects of rating announcements. The market responses – both return and volatility – are more pronounced in the cases of downgrades, foreign currency debt, emerging market debt, and during crisis periods. This study has important policy implications for international investors’ asset allocation plans and for regulatory bodies such as the Basel Committee who increasingly rely upon Moody's, Standard and Poor's and Fitch's ratings for their regulatory regimes.     

A framework for stabilizing the euro/yen/dollar triplet

The current debate on exchange rate regimes is shaped by the so-called inconsistency triangle. In this paper I show that the discussion has overlooked a “third way” which combines capital mobility with monetary policy autonomy, and an exchange rate path determined by interest rate differentials. My scheme relies on interventions that are always carried out by the central bank with the strong currency, and a full sterilization of interventions with the instrument of a deposit facility. Thus the G3 central banks could set a band for their bilateral exchange rates with the floor and the ceiling defended by the respective strong central bank. As exchange rates bands are adjusted according to short-term interest rate differentials, there are no sterilization costs for the intervening central bank. Over the medium and long run interest rates are mainly determined by inflation differentials. Thus, the exchange rate band would follow a PPP path.     

Immunizing Foreign Exchange Contracts Against Swap Rate and Volatility Risks

Swap rate risk, also called the problem of' "maturity gaps," originates from foreign currency holdings whenever the involved contracts have differing maturities. Such differing maturities give rise to a sensitivity of the portfolio values with respect to the "swap rate," or differential between the relative interest rates in two countries. Volatility risk, which typically affects only currency contracts having asymmetric payoffs (such as currency options), gives rise to a sensitivity of portfolio values with respect to changes in the exchange rate volatility. In this article we show how currency portfolios may be immunized , or made insensitive, to both swap rate risk and volatility risk, in the sense of Macaulay's (1938) classical treatment of interest rate risk. The European currency option contract is the primary subject of our discussion, since we show that both ordinary forward contracts and other complicated currency contracts are equivalent to suitable combinations of European currency options.     

Distinguishing between stochastic and deterministic behavior in high frequency foreign exchange rate returns: Can non-linear dynamics help forecasting?

This paper investigates the dynamic properties of high frequency foreign exchange rate returns. Using hourly data for four exchanges rates, the British Pound, the Deutschemark, the Japanese Yen and Swiss Franc, we attempt to differentiate between stochastic and deterministic behavior in hourly rates of returns. While the autocorrelation coefficients and the Brock-Dechert-Scheinkman test point to the presence of some non-linear dependence, correlation dimension estimates reveal little evidence in favor of low-dimensional chaos. The analysis appears to support the view that although it is not possible to exploit deterministic non-linear dependence in exchange rate time series in order to improve short-term forecasting, non-linear stochastic models can be used for conditional volatility forecasts.     

Do interest rate options contain information about excess returns?

There is strong empirical evidence that long-term interest rates contain a time-varying risk premium. Options may contain valuable information about this risk premium because their prices are sensitive to the underlying interest rates. We use the joint time series of swap rates and interest rate option prices to estimate dynamic term structure models. The risk premiums that we estimate using option prices are better able to predict excess returns for long-term swaps over short-term swaps. Moreover, in contrast to the previous literature, the most successful models for predicting excess returns have risk factors with stochastic volatility. We also show that the stochastic volatility models we estimate using option prices match the failure of the expectations hypothesis.     

An examination of the intraday behavior of the yen/dollar exchange rate: The relationship between trading activity and returns volatility

This paper provides additional empirical evidence of the relationship between the volatility of returns and trading activity in foreign exchange markets. Five-minute yen/dollar returns exhibit significant skewness, kurtosis, negative first-order autocorrelation and heteroskedasticity. Market activity (as measured by the intensity of quote arrivals) has a positive and statistically significant effect on conditional returns volatility. Such evidence is consistent with predictions of mixture of distrubutions models.     

Estimating and predicting multivariate volatility thresholds in global stock markets

We propose a general double tree structured AR‐GARCH model for the analysis of global equity index returns. The model extends previous approaches by incorporating (i) several multivariate thresholds in conditional means and volatilities of index returns and (ii) a richer specification for the impact of lagged foreign (US) index returns in each threshold. We evaluate the out‐of‐sample forecasting power of our model for eight major equity indices in comparison to some existing volatility models in the literature. We find strong evidence for more than one multivariate threshold (more than two regimes) in conditional means and variances of global equity index returns. Such multivariate thresholds are affected by foreign (US) lagged index returns and yield a higher out‐of‐sample predictive power for our tree structured model setting. Copyright © 2006 John Wiley & Sons, Ltd.     

A Firm-Specific Analysis of the Exchange-Rate Exposure of Dutch Firms

We examine the relationship between exchange‐rate changes and stock returns for a sample of Dutch firms over 1994–1998. We find that over 50 per cent of the firms are significantly exposed to exchange‐rate risk. Furthermore, all firms with significant exchange‐rate exposure benefit from a depreciation of the Dutch guilder relative to a trade‐weighted currency index. This result confirms that firms in open economies, such as the Netherlands, exhibit significant exchange‐rate exposure. We collect unique information on the most relevant individual currencies for each firm with respect to their influence on firm value. Our results indicate that the use of a trade‐weighted currency index and the use of individual exchange rates are complements. We also measure the determinants of exchange‐rate exposure. As expected, we find that firm size and the foreign sales ratio are significantly and positively related to exchange‐rate exposure. In contrast with our hypothesis, off‐balance hedging using derivatives has no significant effects. Finally, in line with theory, we find that exposure is significantly reduced through on‐balance sheet hedging, i.e., through foreign loans and by producing in factories abroad.     

Understanding saving and portfolio choices with predictable changes in assets returns

We consider an expected-utility-maximizing consumer living two periods who can invest in two assets, one of which is risk free. We do not restrict relative risk aversion to be constant. We first examine the effect that a change in the opportunity set in the second period has on the optimal saving in the first period. We show that an increase in the future risk free rate (keeping the equity premium unchanged) reduces savings if relative risk aversion is uniformly larger than unity. An increase in the equity premium or a reduction in the volatility of the risky asset raises savings if the index of cautiousness, i.e., the derivative of absolute risk tolerance, is smaller than unity. In a second stage, we use these results to determine the sign of the hedging demand for the risky asset for the following three types of predictability: predictable changes in the interest rate, mean-reversion in stock returns, and predictable changes in volatility. Depending upon the type of predictability under scrutiny, what matters to sign the hedging demand is whether relative risk aversion or cautiousness is smaller or larger than unity.     

Stochastic volatility models: conditional normality versus heavy‐tailed distributions

Most of the empirical applications of the stochastic volatility (SV) model are based on the assumption that the conditional distribution of returns, given the latent volatility process, is normal. In this paper, the SV model based on a conditional normal distribution is compared with SV specifications using conditional heavy‐tailed distributions, especially Student's t‐distribution and the generalized error distribution. To estimate the SV specifications, a simulated maximum likelihood approach is applied. The results based on daily data on exchange rates and stock returns reveal that the SV model with a conditional normal distribution does not adequately account for the two following empirical facts simultaneously: the leptokurtic distribution of the returns and the low but slowly decaying autocorrelation functions of the squared returns. It is shown that these empirical facts are more adequately captured by an SV model with a conditional heavy‐tailed distribution. It also turns out that the choice of the conditional distribution has systematic effects on the parameter estimates of the volatility process. Copyright © 2000 John Wiley & Sons, Ltd.     

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.