The conditional heteroscedasticity of the yen–dollar exchange rate

This paper examines the conditional heteroscedasticity of the yen–dollar exchange rate. A model is constructed by extending the asymmetric power autoregressive conditional heteroscedasticity model to a process that is fractionally integrated. It is found that, unlike the equity markets, the appreciation and depreciation shocks of the yen against the dollar have similar effects on future volatilities. Although the results reject both the stable and the integrated models, our analysis of the response coefficients of the past shocks and the application of the models to the estimation of the capital requirements for trading the currencies show that there are no substantial differences between the fractionally integrated models and the stable models. © 1998 John Wiley & Sons, Ltd.     

A revisit to economic exposure of U.S. multinational corporations

To shed light on the influence of U.S. major trade partners’ currencies on MNCs’ firm values, this study investigates the asymmetric effects and the determinants of appreciated and depreciated economic exposure of the U.S. MNCs. Our empirical results reveal several findings: (1) The influences of exchange rate fluctuation on stock returns vary enormously for different currencies. (2) During the U.S. dollar appreciating period, MNCs benefit very little from this appreciation against major trade partners’ currencies, but most MNCs see harmful impacts from a U.S. dollar appreciation against the Brazilian real. (3) During the U.S. dollar depreciating period, most U.S. MNCs benefit from this depreciation against the European Monetary Union’s euro, Mexican new peso and Brazilian real; however, they overall suffer losses against the Chinese yuan, Japanese yen, and British pound. (4) The level of foreign sales is the key determinant of economic exposure.     

Normal mixture GARCH(1,1): applications to exchange rate modelling

Some recent specifications for GARCH error processes explicitly assume a conditional variance that is generated by a mixture of normal components, albeit with some parameter restrictions. This paper analyses the general normal mixture GARCH(1,1) model which can capture time variation in both conditional skewness and kurtosis. A main focus of the paper is to provide evidence that, for modelling exchange rates, generalized two‐component normal mixture GARCH(1,1) models perform better than those with three or more components, and better than symmetric and skewed Student's t‐GARCH models. In addition to the extensive empirical results based on simulation and on historical data on three US dollar foreign exchange rates (British pound, euro and Japanese yen), we derive: expressions for the conditional and unconditional moments of all models; parameter conditions to ensure that the second and fourth conditional and unconditional moments are positive and finite; and analytic derivatives for the maximum likelihood estimation of the model parameters and standard errors of the estimates. Copyright © 2006 John Wiley & Sons, Ltd.     

Estimation of multivariate models for time series of possibly different lengths

We consider the problem of estimating parametric multivariate density models when unequal amounts of data are available on each variable. We focus in particular on the case that the unknown parameter vector may be partitioned into elements relating only to a marginal distribution and elements relating to the copula. In such a case we propose using a multi‐stage maximum likelihood estimator (MSMLE) based on all available data rather than the usual one‐stage maximum likelihood estimator (1SMLE) based only on the overlapping data. We provide conditions under which the MSMLE is not less asymptotically efficient than the 1SMLE, and we examine the small sample efficiency of the estimators via simulations. The analysis in this paper is motivated by a model of the joint distribution of daily Japanese yen–US dollar and euro–US dollar exchange rates. We find significant evidence of time variation in the conditional copula of these exchange rates, and evidence of greater dependence during extreme events than under the normal distribution. Copyright © 2006 John Wiley & Sons, Ltd.     

Asymmetric Foreign Currency Exposures and Derivatives Use: Evidence from France

This paper provides evidence on the asymmetric sensitivity of stock returns of French firms to exchange rate risk and the effect of foreign currency (FC) derivative use in alleviating this risk. The results show that FC exposure is frequently asymmetric and differs with respect to the US dollar (USD) and non‐USD currencies. Cross sectional analysis provides evidence that FC derivatives use has a significant effect on reducing FC exposure to appreciations and depreciations of non‐USD currencies and depreciations of the USD, but not to appreciations of the USD.     

Reports of the dollar's demise greatly exaggerated

• ? Speculation that the dollar could lose its status as the world's main reserve currency “sooner rather than later”ⁱ looks, in our view, wide of the mark. Across a range of international uses, the dollar accounts for 40–60% of transactions – a share that has been stable or even increasing in recent years. Potential rivals are far behind, especially the Chinese renminbi, which accounts for just 1–2% of transactions. As a result, the dollar's pre‐eminence looks unlikely to be seriously threatened for many years to come. The US's gains from the dollar's global role may also be more modest than often thought.
• ? The dollar's position is supported by factors including its widespread use as a trading and commodity‐pricing currency, the size and liquidity of US financial markets, and the continued lack of a credible rival. None of these is likely to be significantly eroded in the near term, even with some moves afoot to shift away from dollar payments in oil and other areas. Historical evidence suggests that a world of multiple reserve currencies is possible but also shows it can take decades for reserve currencies to lose their dominant status.

     

The Yen Real Exchange Rate may be Stationary after all: Evidence from Non‐linear Unit‐root Tests*

The empirical literature that tests for purchasing power parity (PPP) by focusing on the stationarity of real exchange rates has so far provided, at best, mixed results. The behaviour of the yen real exchange rate has most stubbornly challenged the PPP hypothesis and deepened this puzzle. This paper contributes to this discussion by providing new evidence on the stationarity of bilateral yen real exchange rates. We employ a non‐linear version of the augmented Dickey–Fuller test, based on an exponentially smooth‐transition autoregressive model (ESTAR) that enhances the power of the tests against mean‐reverting non‐linear alternative hypotheses. Our results suggest that the bilateral yen real exchange rates against the other G7 and Asian currencies were mean reverting during the post‐Bretton Woods era. Thus, the real yen behaviour may not be so different after all but simply perceived to be so because of the use of a restrictive alternative hypothesis in previous tests.     

Japan

After Q3 2015's eventual 0.3% quarterly growth rate, the economy appears to have maintained modest growth into Q4 according to the available monthly data. But a significant threat to the economy could arise from financial market volatility and consequent upward pressure on the yen. Since the US Federal Reserve raised interest rates on 16th December the yen has appreciated by 3% against the US dollar and by over 5% on a trade‐weighted basis.     

Modeling and forecasting of stock index volatility with APARCH models under ordered restriction

This article examines volatility models for modeling and forecasting the Standard & Poor 500 (S&P 500) daily stock index returns, including the autoregressive moving average, the Taylor and Schwert generalized autoregressive conditional heteroscedasticity (GARCH), the Glosten, Jagannathan and Runkle GARCH and asymmetric power ARCH (APARCH) with the following conditional distributions: normal, Student's t and skewed Student's t‐distributions. In addition, we undertake unit root (augmented Dickey–Fuller and Phillip–Perron) tests, co‐integration test and error correction model. We study the stationary APARCH (p) model with parameters, and the uniform convergence, strong consistency and asymptotic normality are prove under simple ordered restriction. In fitting these models to S&P 500 daily stock index return data over the period 1 January 2002 to 31 December 2012, we found that the APARCH model using a skewed Student's t‐distribution is the most effective and successful for modeling and forecasting the daily stock index returns series. The results of this study would be of great value to policy makers and investors in managing risk in stock markets trading.     

Did China diversify its foreign reserves?

This paper takes a novel approach to detect the latent currency portfolio of Chinese foreign exchange reserves and the underlying portfolio management strategies during 2000 and 2007. Based on a portfolio accounting identity and the budget constraint of the Chinese central bank's holding of foreign assets, the monthly growth rate of reserves can be decomposed into monthly rate of return, valuation effects of exchange rates, and monthly net purchase rate. The valuation effect reveals the value share of each currency. Bayesian inference is adopted to estimate the state‐space model with a mixture of Gaussian distributions. The results show that China significantly and dramatically diversified its reserves out of the US dollar in 2002: both the euro's value and quantity shares increased from 5% to more than 20%. By the end of 2007, China held about (at most) 67.3% of its reserves in the US dollar, 22% in the euro, 2.5% in the Japanese yen, 4.7% in the Australian dollar, and 3.5% in the British pound. The average annual rate of return was about 3%. Copyright © 2011 John Wiley & Sons, Ltd.     

The transmission of US economic policy uncertainty shocks to Asian and global financial markets

This paper proposes a novel approach to investigating the spillover effects of US economic policy uncertainty shocks on the global financial markets. Employing a factor-augmented vector autoregression (FAVAR), we model US economic policy uncertainty jointly with the latent factors extracted from equity prices, exchange rates, and commodity prices. We find that US economic policy uncertainty affects these factors significantly. A country-level analysis shows heterogeneous responses to an increase in US economic policy uncertainty. With regard to equities, US economic policy uncertainty adversely affects equity prices. However, its impact on the Chinese equity market is relatively small. As for foreign exchange markets, while many currencies depreciate in response to an increase in US economic policy uncertainty, the US dollar and the Japanese yen appreciate, reflecting their safe-haven status. The Chinese yuan, whose nominal exchange rate is closely linked to the US dollar, also appreciates in response to uncertainty shocks.     

Measuring and modeling the effects of G-3 exchange rate fluctuations on small open economies: A natural experiment

I present evidence that exchange rate fluctuations among the world's major currencies significantly affect the business cycles of small open economies. The impact of those fluctuations on any given country depends crucially on its exchange rate regime. The three Baltic countries in Central Europe constitute an interesting natural experiment in that regard. I estimate a structural vector autoregression (VAR) model to show the differential impact of euro–dollar exchange rate fluctuations on the business cycles of these three countries. Next, I build a dynamic sticky-price model and I calibrate it to the Baltic States in order to match and explain the empirical evidence.     

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.     

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.     

Dynamics of floating exchange rate: how important are capital flows relative to macroeconomic fundamentals?

While focusing on traditional macroeconomic fundamentals, existing literature has provided little understanding of impacts of various types of capital flows on the dynamics of floating exchange rates. This paper develops a structural VAR model that takes into account macroeconomic fundamentals as well as various types of capital flows in explaining the fluctuations of the floating exchange rates of the Australian dollar, the Canadian dollar, and the U.S. dollar over 1980–2004. Our main findings are as follows. Among the traditional macroeconomic fundamentals, relative interest rate still plays a significant role in explaining exchange rate dynamics for all three currencies. Capital flows play an important role in explaining the fluctuations in the Australian dollar and the Canadian dollar, but not the U.S. dollar. In particular, portfolio investment is the most explanatory factor for the Australian dollar and the Canadian dollar. For the U.S. dollar, relative interest rate explains the most of exchange rate fluctuations, especially in the medium to the long run. The results indicate that capital market transactions do play important roles in determining exchange rates; however, it may have different implications for the reserve currencies versus the non-reserve currencies. Further research is needed.     

The time-series properties of the risk premium in the Yen/Dollar exchange market

In this paper a VAR model is employed to construct a measure of the conditional expectations of the future yen/dollar spot rate. This measure allows us to examine the dynamics of an ex-ante time-series for the risk premium in the market. The VAR model produces ‘better’ forecasts than the survey responses for turbulent periods such as 1981–1982 and 1984–1985. The VAR-generated expectations are then used to construct a risk premium time-series. This risk premium series seems to be more reliable than the ones obtained using either survey data on expectations of the future spot exchange rate or the ex-post realized spot exchange rate. Tests on the risk premium series suggest that a risk premium was present, but that it was virtually constant throughout the sample. The conditional variance of the risk premium changed over time, but its unconditional distribution seemed stable across subsamples. Despite these features, the volatility of the series was substantial and varied considerably throughout the sample.     

Spectral tests of the martingale hypothesis for exchange rates

A new family of spectral shape tests was proposed recently by Durlauf (1991) for testing the martingale hypothesis. Unlike the widely used variance ratio test, spectral shape tests are consistent against all stationary non-white-noise alternatives from the martingale null. In this paper we examine the finite sample properties of the spectral shape tests and find that the tests have good size and power properties even for small samples. We apply the tests to examine the martingale hypothesis for five major currencies vis-à-vis the US dollar for the period 1974–89. The results indicate that most currencies violate the martingale hypothesis. It appears that some rejections are due to long-memory influences.     

Understanding spot and forward exchange rate regressions

Using the Kalman filter, we obtain maximum likelihood estimates of a permanent–transitory components model for log spot and forward dollar prices of the pound, the franc, and the yen. This simple parametric model is useful in understanding why the forward rate may be an unbiased predictor of the future spot rate even though an increase in the forward premium predicts a dollar appreciation. Our estimates of the expected excess return on short-term dollar-denominated assets are persistent and reasonable in magnitude. They also exhibit sign fluctuations and negative covariance with the estimated expected depreciation. © 1997 John Wiley & Sons, Ltd.     

Carry-trades on the yen and the Swiss franc: are they different?

Using monthly data from 1986 to 2009 for 11 major currencies against the U.S. dollar (USD), we find that interest rate differentials between nine of these currencies are generally positive (sample mean of 0.86%) but are strongly negative for Japan (mean of ?2.78%) and for Switzerland (mean of ?2.22%). Investigating empirical models of nominal exchange rate changes we find for all panels that about 2% of real exchange rate misalignments are corrected in the following month. We also find important differences across samples and for the two carry-trade currencies the key results are as follows. First, interest rate differentials have a negative impact on exchange rates: higher paying currencies should appreciate, contrary to the ex-ante uncovered interest rate parity (UIP) condition. We find that this result is very robust to money supply (M1) differentials serving as instrumental variables to inflation rates. In addition, these two currencies depreciate slightly when money supply (M1) differentials increase. Second, dummy variables for periods of market turmoil suggest a particularly strong appreciation of these currencies against the USD, consistent with the unwinding of carry-trade activities.     

Spillover shifts in the FX market: Implication for the behavior of a safe haven currency

This paper explores the behavior of safe haven currencies by analyzing shock transmission among major currencies. To capture state-dependent directional spillovers, we incorporate Markov regime-switching parameters into the spillover model and estimate them using a Bayesian MCMC algorithm. By considering weekly data from September 2000 to March 2020, we find that the Japanese yen and the Swiss franc, both of which yield relatively high excess returns in times of crisis, exhibit larger reductions of shock transmission and reception during periods of high-volatility than during periods of low-volatility. This implies that the safe haven currencies insulate themselves from shocks from other currencies by reducing interdependence across the FX market in crisis.