The high-frequency response of exchange rates to monetary policy actions and statements

This paper investigates the impact of US monetary policy on the level and volatility of exchange rates using an event study with intraday data for five currencies (the US dollar exchange rate versus the euro, the Canadian dollar, the British pound, the Swiss franc, and the Japanese yen). I construct two indicators of news about monetary policy stemming separately from policy decisions and from balance of risk statements. Estimation results show that both policy decisions and communication have economically large and highly significant effects on the exchange rates, with the surprise component of statements accounting for most of the explainable variation in exchange rate returns in response to monetary policy. This paper also shows that exchange rates tend to absorb FOMC monetary surprises within 30-40 min from the announcement release.     

The Stochastic Properties of Major Canadian Exchange Rates

This paper extends the results of Akgiray and Booth [2] on the stochastic properties of five major Canadian exchange rates using the EGARCH-M model along with the generalized error distribution (GED). In addition to the issue of first- and second-order dependencies, explored by the authors, the paper (1) addresses the issue of asymmetric volatility, (2) examines the extent to which volatility affects future movements in these exchange rates, (3) measures the amount of kurtosis in the data, and (4) investigates the transmission mechanism of innovations and volatility shocks across the five Canadian exchange rate markets. The five Canadian dollar exchange rates are for the U.S. dollar, the Japanese yen, the British pound, the German mark, and the French franc. Changes in Canadian exchange rates are conditionally heteroskedastic, a finding which is in line with that of Akgiray and Booth [2]. There is no evidence supporting the assertion that volatility triggers such changes. The hypothesis of asymmetric volatility is rejected for all Canadian exchange rates; thus unexpected appreciations and depreciations of the Canadian currency have similar impact on future volatility of these exchange rates. Innovations in the Canadian exchange rate markets for the U.S. dollar, the British pound, and French franc influence the Japanese yen market, while innovations in the markets of the British pound and German mark influence the French franc market. Significant but negative volatility spillovers radiate from the German mark market to the U.S. dollar market and from the French franc market to the German mark market, resulting in lower levels of volatility in both the U.S. and German markets. The distributions of all five series of Canadian exchange rates are highly leptokurtic relative to the normal distribution. The GED distribution provides a good characterization of these distributions.     

Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers

We examine empirically the volatility of four major US dollar spot exchange rates using intraday data over 40 trading days. Using multivariate stochastic volatility models, we investigate the degree of persistence of exchange rate volatility for data sampled at different frequencies and the role of volatility spillovers across exchange rates. We find that the noise component of volatility 'aggregates out' very quickly, being dominated by the more persistent component of volatility for data sampled at 15–minute or lower frequencies. Our results also suggest that exchange rate volatility is very persistent and that cross–currency spillovers are small.     

Asymmetric volatility in the foreign exchange markets

We examine the presence or absence of asymmetric volatility in the exchange rates of Australian dollar (AUD), Euro (EUR), British pound (GBP) and Japanese yen (JPY), all against US dollar. Our investigation is based on a variant of the heterogeneous autoregressive realized volatility model, using daily realized variance and return series from 1996 to 2004. We find that a depreciation against USD leads to significantly greater volatility than an appreciation for AUD and GBP, whereas the opposite is true for JPY. Relative to volatility on days following a positive one-standard-deviation return, volatility on days following a negative one-standard-deviation return is higher by 6.6% for AUD, 6.1% for GBP, and 21.2% for JPY. The realized volatility of EUR appears to be symmetric. These results are robust to the removal of jump component from realized volatility and the sub-samplings defined by structural-changes. The asymmetry in AUD, GBP and JPY appears to be embedded in the continuous component of realized volatility rather than the jump component.     

央行干预效应之日本证据:1991-2004

本文利用日本央行的外汇实际干预数据对1991-2004年央行干预日元/美元汇率的效应进行了分析。实证结果表明,买入干预的绝对数量对汇率水平影响显著,当干预为日美央行联合买入时,干预对汇率水平的影响更为明显,而单边卖出干预和央行联合卖出干预对汇率水平均不产生显著性影响。同时,日本央行参与入市干预这一举措本身会导致汇率波动的下降,但当干预数量较大时,日本央行的干预将会增大汇率的条件方差。     

Asymmetric herding as a source of asymmetric return volatility

As a considerable source of asymmetry in return volatility, this paper introduces asymmetric herding and extends the continuous beliefs system to account for its asymmetry and derive the asymmetric herding parameters that are easily estimated by using a maximum likelihood method based on the GARCH-type econometric model. This paper presents new empirical evidence for asymmetry in the exchange rates volatility of major currencies against the US dollar, which have bilateral nature. Interestingly, the asymmetry of Japanese yen is the opposite of that of others and the global financial crisis highlights the opposite asymmetry. Some of traditional hypotheses, such as the leverage effect and the volatility feedback effect, do not adequately explain these findings; however, a significant asymmetric herding effect is observed and appears to be time-varying. Further, the clear link between asymmetric herding and volatility strongly supports the hypothesis of the asymmetric herding effect.     

Price and volatility spillovers between interest rate and exchange value of the US dollar

In this paper, the dynamic relationships between interest rate and exchange value of the US dollar are studied via a multivariate Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model. In terms of price changes, movements of interest rates have positive effects on movements of exchange rates. However, changes in exchange rates do not explain changes in interest rates. Nevertheless, there exists volatility spillovers between the two markets, indicating that their second moments are related. Overall evidence suggests that these two markets have short-term dynamic interactions. The existence of volatility spillovers also suggests that the relationships between these two economic variables are not necessarily linear.     

Exchange return co-movements and volatility spillovers before and after the introduction of euro

This paper examines return co-movements and volatility spillovers between major exchange rates before and after the introduction of euro. Dynamic correlations and VAR-based spillover index results suggest significant return co-movements and volatility spillovers, however, their extend is, on average, lower in the post-euro period. Co-movements and spillovers are positively associated with extreme episodes and US dollar appreciations. The euro (Deutsche mark) is the dominant net transmitter of volatility, while the British pound the dominant net receiver of volatility in both periods. Nevertheless, cross-market volatility spillovers are bidirectional, and the highest spillovers occur between European markets.     

Why do central banks intervene?

Intervention by central banks, in terms of buying and selling foreign currency, has been a major activity in recent years. This paper investigates the motivations for such policy and the evidence for its effectiveness. We use high quality daily data on the dollar amounts of intervention by the central banks of the US and Germany. We also use information on agreed G7 target levels for the $/DM and $/Yen nominal exchange rates. Daily, nominal dollar exchange rate returns are well described as a Martingale-GARCH process, and we find little evidence that the different types of intervention have had much effect on the conditional mean of exchange rate returns. There is some evidence that intervention is associated with slight increases in the volatility of exchange rate returns. While little evidence is found for the effectiveness of intervention, the motivations are more clear. In particular, from the application of probit analysis we find that the probability of intervention is determined by the magnitude of the deviation of the nominal exchange rate from the agreed target level and, to a lesser extent, by the current volatility of exchange rates.     

The determination and international transmission of stock market volatility

This paper extends the literature on low-frequency analysis of the causes and transmission of stock market volatility. It uses end-monthly data on stock market returns, interest rates, exchange rates, inflation, and industrial production for five countries (Britain, France, Germany, Japan, and the US) from July 1973 to December 1994. Efficient portfolios of world, European, and Japanese/US equity are first constructed, the existence of multivariate cointegrating relationships between them is demonstrated, and the transmission of conditional volatility between them is described. The transmission of conditional volatility from world equity markets and national business cycle variables to national stock markets is then modeled. Among the main findings are: first, world equity market volatility is caused mostly by volatility in Japanese/US markets and transmitted to European markets, and second, changes in the volatility of inflation are associated with changes of the opposite sign in stock market volatility in all markets where a significant effect is found to exist. To the extent that the volatility of inflation is positively related to its level, this implies that low inflation tends to be associated with high stock market volatility.     

Modeling exchange rate dependence dynamics at different time horizons

Despite an extensive body of research, the best way to model the dependence of exchange rates remains an open question. In this paper we present a new approach which employs a flexible time-varying copula model. It allows the conditional correlation between exchange rates to be both time-varying and modeled independently from the marginal distributions. We introduce a dynamic specification for the correlation using the Fisher transformation. Applied to Euro/US dollar and Japanese Yen/US dollar, our results reveal a significantly time-varying correlation, dependent on the past return realizations. We find that a time-varying copula with the proposed correlation specification gives better results than alternative dynamic benchmark models. The dynamic copula model outperforms at six different time horizons, ranging from hourly to daily, confirming the model specification.     

Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Real effective exchange rate volatility and growth: A framework to measure advantages of flexibility vs. costs of volatility

By devising a real effective exchange rate (REER) index where bilateral exchange rates are weighted for relative trade shares, we find that the REER volatility (differently from the bilateral exchange rate volatility with the dollar) has significant impact on growth of per capita income after controlling for other variables traditionally considered in conditional convergence estimates. We also find that this (cost of volatility) effect can be reconciled with the concurring negative and significant effect on growth of the adoption of a fixed exchange rate regime (advantage of flexibility effect), where the latter may be also interpreted as the cost of choosing pegged regimes without harmonization of rules and macroeconomic policies with main trading partners. The adoption of an REER volatility measure, instead of a bilateral exchange rate with the dollar, has the advantage of making it possible a joint test for these two effects. This is because, while fixed exchange rate regimes are strongly negatively correlated, and almost collinear, with bilateral exchange rate volatility with the dollar, the correlation is much weaker when considering our REER volatility measure.     

Conditional covariances and direct central bank interventions in the foreign exchange markets

In this paper, we investigate the effects of central bank interventions (CBIs) on the ex post correlation and covariance of exchange rates. Using a multivariate GARCH model with time-varying conditional covariances, we estimate the effects of CBIs on both the variances and covariance between the yen and the deutsche mark (the Euro) in terms of the US dollar. Our results suggest that coordinated CBIs not only tend to increase the volatility of exchange rates but also explain a significant amount of the covariance between the major currencies. We show that this result can be useful for short-run currency portfolio management.     

U.S. presidential cycles and the foreign exchange market

We examine the association between the foreign exchange rate of the US dollar and US presidential cycles. Results show that Republican presidencies tend to start with a strong dollar, which then depreciates over the course of the presidency. In contrast, Democratic presidencies tend to begin with a weak dollar that then appreciates. These patterns result in an apparent presidential effect in US foreign exchange rates, the direction of which depends on whether exchange rates are measured by levels or by returns.     

信息传递效率、货币传染与东亚汇率波动溢出分析

本文运用Cheung和Ng交叉相关系数方法,对东亚六国货币①——人民币、日元、韩元、泰国铢、新加坡元和林吉特的名义美元汇率波动溢出进行检验,发现东亚汇率波动溢出普遍存在且具有不对称性和多层次溢出特征。实证结果还表明,日元交易商能更加有效处理来自人民币、韩元、泰铢、新加坡元和林吉特五种货币的信息,而人民币交易商对处理来自日元、泰铢、新加坡元等货币的信息效率不高。     

Price clustering in foreign exchange spot markets

This paper documents the existence of price clustering in the foreign exchange spot market for the German mark, the Japanese yen, the United Kingdom pound, the French franc, the Italian lira, and the Swedish krona. The U.S. dollar exchange rate indicative quotes for these currencies tend to exhibit clustering around right-most digits that end in either a “zero” or a “five.” The tendency for exchange rates to cluster has increased with increases in trading volume and volatility. Moreover, the tendency for exchange rates to cluster differs across currencies.     

US money announcements and covered interest parity: The case of Japan

This paper examines the effects of US money announcements on dollar-and yen-denominated securities in their respective onshore markets. The effects are consdered over several periods corresponding to possible US and Japanese policy regimes. The consistency of the responses is further examined by testing whether the responses of dollar-denominated securities, yen-denominated securities, the spot yen/dollar exchange rate, and the forward yen/dollar exchange rate violate covered interest parity. Given the results of previous studies, the evidence suggests that restrictions on capital mobility in Japan have not allowed complete international integration of Japanese financial markets.     

Trading volume and exchange rate volatility: Evidence for the sequential arrival of information hypothesis

The relationship between trading volume and volatility in foreign exchange markets continues to be of much interest, especially given the higher than expected volatility of returns. Allowing for nonlinearities, this paper tests competing hypotheses on the possible relationship between volatility and trading volume using data for three major currency futures contracts denominated in US dollars, namely the British pound, the Canadian dollar and the Japanese yen. We find that trading volumes and return volatility are negatively correlated, implying a lack of support for the mixture of distributions hypothesis (MDH). Using linear and nonlinear Granger causality tests, we document significant lead-lag relations between trading volumes and return volatility consistent with the sequential arrival of information (SAI) hypothesis. These findings are robust and not sample-dependent or due to heterogeneity of beliefs as proxied by open interest. Furthermore, our results are insensitive to the modeling approach used to recover volatility measures. Overall, our findings support the contention that short- to medium-term currency relationships may be dominated by trading dynamics and not by fundamentals.     

Cointegration test of oil price and us dollar exchange rates for some oil dependent economies

This study examines the long-run dynamics between oil price and the bilateral US dollar exchange rates for a group of oil-dependent economies before and after the 2008–2009 Global Financial Crises. Exchange rates are for the euro, Indian rupee, Russian ruble, South African rand, Ghanaian cedi and the Nigerian naira. The dependence on crude oil of these economies is either because fiscal revenues are primarily reliant on oil export receipts or because industrial production is heavily dependent on petroleum. Empirical results show evidence of a long run equilibrium relationship between oil price and exchange rate, especially for currencies of the key oil-exporting countries. This relationship is more evident in the post crisis period, which is also the period when both exchange rate volatility and the inverse relationship between oil price and exchange rate experienced a significant increase.