Exchange Rate Exposure at the Firm and Industry Level

Previous work on the exposure of firms to exchange rate risk has primarily focused on U.S. firms and, surprisingly, found stock returns were not significantly affected by exchange‐rate fluctuations. The equity market premium for exposure to currency risk was also found to be insignificant. In this paper we examine the relation between Japanese stock returns and unanticipated exchange‐rate changes for 1,079 firms traded on the Tokyo stock exchange over the 1975–1995 period. Second, we investigate whether exchange‐rate risk is priced in the Japanese equity market using both unconditional and conditional multifactor asset pricing testing procedures. We find a significant relation between contemporaneous stock returns and unanticipated yen fluctuations. The exposure effect on multinationals and high‐exporting firms, however, is found to be greater in comparison to low‐exporting and domestic firms. Lagged‐exchange rate changes on firm value are found to be statistically insignificant implying that investors are able to assess the impact of exchange‐rate changes on firm value with no significant delay. The industry level analysis corroborates the cross‐sectional findings for Japanese firms in that they are sensitive to contemporaneous unexpected exchange‐rate fluctuations. The co‐movement between stock returns and changes in the foreign value of the yen is found to be positively associated with the degree of the firm's foreign economic involvement and inversely related to its size and debt to asset ratio. Asset pricing tests show that currency risk is priced. We find corroborating evidence in support of the view that currency exposure is time varying. Our results indicate that the foreign exchange‐rate risk premium is a significant component of Japanese stock returns. The combined evidence from the currency exposure and asset pricing analyses, suggests that currency risk is priced and, therefoe, has implications for corporate and portfolio managers.     

A test of the stability of exchange rate risk: Evidence from the Australian equities market

This paper investigates the sensitivity of equity returns on Australian industry portfolios to an exchange rate factor for the period 1988–1998. Specifically, using daily data, we (1) analyse the exchange rate exposure of the Australian equities market by implementing a basic augmented market model using relevant bilateral exchange rates, (2) investigate the intertemporal stability of the exchange rate exposure by using a dummy variable specification, and (3) attempt to establish the determinants of the exchange rate exposure of Australian industries by undertaking a cross-sectional analysis. A further empirical issue addressed by our study is that of whether the sensitivity is contemporaneous or lagged. We find (a) some evidence of exchange rate exposure, (b) some evidence of intertemporal sensitivity, and (c) a greater sensitivity to movements in the Australian dollar/US dollar exchange rate factor than to movements in the Australian dollar/Japanese yen. Further, we observe a significant lagged effect when employing the basic augmented model. This difference in the response of the industry portfolio returns is not observed, however, in our intertemporal stability investigation. Finally, we do not find significant evidence in terms of the cross-sectional determinants of foreign exchange exposure.     

The sensitivity of Japanese bank stock returns to economic factors: An examination of asset/liability differences and main bank status

The sensitivity of Japanese bank stock returns to market return innovations (shocks), innovations in Japanese government bond returns, trade-weighted yen exchange rate return innovations, and interest rate spread changes are examined. Japanese bank stock returns are found to be significantly and usually negatively related to long-term interest rate innovations in 34% of all regressions. Market β's are found to be always highly significant, while few of the exchange rate return β's and spread β's are significant. Cross-sectional differences in the market and bond return β's are examined. Japanese main banks are generally found to assume more risk, based on market β's.     

New Evidence on Risk Factors, Characteristics and the Cross-Sectional Variation of Japanese Stock Returns

This paper examines whether the cross-sectional variations in stock returns are better described by systematic risk factors or by firm characteristics such as book-to-market ratios and market capitalization. It provides new evidence from the Japanese stock market based on the recent sample period from 2002 to 2007, which is not addressed in the existing literature. Also, the new results are derived from the generalized method of moments applied to daily returns. The evidence suggests that both the firm size and book-to-market ratio are significantly related to average return premiums. There is mixed evidence, which tends to lend stronger support to the characteristic model rather than the Fama-French three-factor model as more reflective of the return dynamics in the Japanese stock market.     

Exchange risk and universal returns: A test of international arbitrage pricing theory

According to the international arbitrage pricing theory (IAPT) posited by Solnik (1983), currency movements affect assets' factor loadings and associated risk premiums. Based on a novel universal return decomposition, we propose an empirical model to test this proposition and perform tests using U.S. stock returns in the period 1975–2008. Our results confirm that currency movements significantly affect the market betas of a large proportion of stocks. Further cross-sectional tests indicate that currency movements affecting the market factor are significantly priced in stock returns. Based on these and other findings, we conclude that Solnik's IAPT is supported. An important implication of our findings is that exchange rate risk can broadly affect stock returns through both factor loading and residual factor channels.     

Exchange risk and universal returns: A test of international arbitrage pricing theory

According to the international arbitrage pricing theory (IAPT) posited by Solnik (1983), currency movements affect assets' factor loadings and associated risk premiums. Based on a novel universal return decomposition, we propose an empirical model to test this proposition and perform tests using U.S. stock returns in the period 1975–2008. Our results confirm that currency movements significantly affect the market betas of a large proportion of stocks. Further cross-sectional tests indicate that currency movements affecting the market factor are significantly priced in stock returns. Based on these and other findings, we conclude that Solnik's IAPT is supported. An important implication of our findings is that exchange rate risk can broadly affect stock returns through both factor loading and residual factor channels.     

The dynamic moderating function of the exchange rate market on the oil-stock nexus

Oil price movements have an important impact on the stock market, and this impact could be dynamically moderated by the exchange rate, which could not be effectively depicted by VAR or GARCH methods widely used in previous studies. This paper adopts a more flexible nonlinear model to investigates this dynamic moderating effect of the exchange rate market on the oil-stock nexus for 45 major countries from November 30, 2005 to November 22, 2019. We also compare the differences in this moderating effect between oil-importing and oil-exporting countries and confirm the presence of a wealth transfer effect. Specifically, the empirical results show that (1) In the stage where domestic currency depreciation or appreciation degree is not serious (the growth rate is less than 0.1), an increase in crude oil prices has a positive impact on stock market returns, and this positive impact is weakened when the growth rate of the exchange rate return approaches zero. (2) As the local currency continues to appreciate (the growth rate is greater than about 0.22), the increase in crude oil prices may negatively influence stock market returns to an increasingly greater extent among crude oil importers. (3) The increase in crude oil prices may have a short-term positive impact on stock market returns in oil-exporting countries due to the wealth transfer effect when the domestic currency appreciates at a faster rate. Finally, we discuss the policy implications of our findings to help investors avoid risks due to fluctuations in international oil prices.     

The joint response of stock and foreign exchange markets to macroeconomic surprises: Using US and Japanese data

This paper investigates the joint response of stock and foreign exchange (FX) market returns to macroeconomic surprises, employing a system method of estimation that allows for the cross-country and cross-market interaction for asset returns and risk premia. Using US and Japanese data, we find that US stock markets are asymmetrically responsive to domestic developments in output growth and interest rates but are not influenced by macroeconomic surprises from Japan. The surprise in the FX market seems to affect stock markets in the US and Japan, respectively. In particular, we find that the interest rate surprise in the US and inflation surprise in Japan tend to overstate the impact that these surprises would have on the respective stock market. The impact of the surprises would appear smaller if macroeconomic developments induced by the FX market were incorporated into the model.     

Volatility and correlation in international stock markets and the role of exchange rate fluctuations

This paper develops a direct, explicit model for the role of exchange rate fluctuations in international stock markets and examines how and to what extent volatility and correlations in equity markets are influenced by exchange rate fluctuations. Evidence presented in this paper indicates that a higher foreign exchange rate variability mostly increases local stock market volatility but decreases volatility for the US stock market. The extent to which stock market volatility is influenced by foreign exchange variability is greater for local markets than for the US market, due to the fact that exchange rate changes are more strongly correlated with local equity market returns than the US market returns. We find that a higher exchange rate fluctuation marginally decreases the US/local equity market correlation. While exchange rate fluctuations held a relatively large fraction of the variation in local stock market returns, there was no significant influence on the US/local equity market correlation.     

Empirical Identification of Non-Informational Trades Using Trading Volume Data

This paper empirically identifies non-informational and informational trades using stock returns and trading volume data of the U.S., Japanese, and U.K. stock markets and five individual firms. We achieve the identification by imposing a restriction from theoretical considerations. Our results show that trading volume is mainly driven by non-informational trades, while stock price movements are primarily driven by informational trades. We also find that, around the 1987 stock market crash, trading volumes due to non-informational trades increased dramatically, while the decline in stock market prices was due mainly to informational trades. Increases in volatilities both in returns and in trading volumes during and after the crash are mainly due to non-informational trades. Regarding the trading volume-serial correlation in the stock returns relationship, we find evidence that is consistent with theoretical predictions that non-informational components can account for high trading volume accompanied by a low serial correlation of stock returns.     

Impact of speculation and economic uncertainty on commodity markets

We examine the interactions between commodity futures returns and five driving factors (financial speculation, exchange rate, stock market dynamics, implied volatility for the US equity market, and economic policy uncertainty). Nonlinear causality tests are implemented after controlling for cointegration and conditional heteroscedasticity in the data over the period May 1990 – April 2014. Our results show strong evidence of unidirectional linear causality from commodity returns to excess speculation for the majority of the considered commodities, in particular for agriculture commodities. This evidence casts doubt on the claim that speculation is driving food prices. We also find unidirectional linear causality from energy futures markets to exchange rates and strong evidence of nonlinear causal dependence between commodity futures returns, on the one hand, and stock market returns and implied volatility, on the other hand. Overall, the new evidence found in this paper can be utilized for policy and investment decision-making.     

Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility

We use realized volatility to study the influence of Japanese central bank interventions on the yen-to-dollar exchange rate. A system of equations for returns, logarithmic realized volatility, and interventions provides a comprehensive view on the problem without endogeneity bias, unlike earlier latent variable specifications. We find that during the period 1991 through 1995, interventions of the Japanese monetary authorities could not move the yen-to-dollar rate into the desired direction. We measure an increase in volatility associated with interventions. During the period 1995 through 1998, the estimations are consistent with interventions that successfully influenced returns. After 1998 up to the last intervention episode in 2004, interventions did not have a significant impact on returns but reduced realized exchange rate volatility.     

Does an intertemporal tradeoff between risk and return explain mean reversion in stock prices?

When volatility feedback is taken into account, there is strong evidence of a positive tradeoff between stock market volatility and expected returns on a market portfolio. In this paper, we ask whether this intertemporal tradeoff between risk and return is responsible for the reported evidence of mean reversion in stock prices. There are two relevant findings. First, price movements not related to the effects of Markov-switching market volatility are largely unpredictable over long horizons. Second, time-varying parameter estimates of the long-horizon predictability of stock returns reject any systematic mean reversion in favour of behaviour implicit in the historical timing of the tradeoff between risk and return.     

High-frequency information content in end-user foreign exchange order flows

This article considers the impact of foreign exchange (FX) order flows on contemporaneous and future stock market returns using a new database of customer order flows in the euro-dollar exchange rate market as seen by a leading European bank. We do not find clear contemporaneous relationships between FX order flows and stock market changes at high frequencies, but FX flows do appear to have significant power to forecast stock index returns over 1–30 min horizons, after controlling for lagged exchange rate and stock market returns. The effects of order flows from financial customers on future stock market changes are negative, while the effects of corporate orders are positive. The latter results are consistent with the premise that corporate order flows contain dispersed, passively acquired information about fundamentals. Thus, purchases of the dollar by corporate customers represent good news about the state of the US economy. Importantly, though, there also appears to be extra information in corporate flows which is directly relevant to equity prices over and above the impact derived from stock prices reacting to (predicted) exchange rate changes. Our findings suggest that financial customer flows only affect stock prices through their impact on the value of the dollar.     

The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

Stock returns and economic forces—An empirical investigation of Chinese markets

This study finds evidence that a better macroeconomic climate and an improvement in liquidity help to explain Chinese stock returns. There is no evidence to support the hypothesis that growth in dividend yields can predict stock returns. The sectoral stock returns in China's markets are correlated with stock returns in the US markets as evidenced by: (i) a positive correlation with US stock returns; (ii) a significant negative error correcting term; (iii) a negative response of Chinese stocks to financial stress in the US market; and (iv) a positive correlation with a depreciation in the China/US exchange rate.     

The Relation between Stock Prices and Inflationary Expectations: The International Evidence

This paper provides empirical evidence on the relation between stock returns and inflationary expectations for nine countries over the period 1971–80. The Fisherian assumption that real returns are independent of inflationary expectations is soundly rejected for each major stock market of the world. Using interest rates as a proxy for expected inflation, our data provide consistent support for the Geske and Roll model whose basic hypothesis is that stock price movements signal (negative) revisions in inflationary expectations. Finally, a weak real interest rate effect was found for some of these countries.     

Is foreign exchange intervention by central banks bad news for debt markets?: A case of Reserve Bank of Australia's interventions 1986–2003

We investigate the effects of the Reserve Bank of Australia's foreign exchange interventions on the USD/AUD market and 90-day and 10-year interest rate futures markets for the period July 1986–December 2003. Using recently released revised and updated intervention data, we investigate contemporaneous and disaggregated intervention influences and find significant evidence for (i) intervention effectiveness in moderating the contemporaneous exchange rate movements especially if interventions were cumulative and large, (ii) exchange rate volatility reducing effect with a day's lag, (iii) undesirable interest rate movements following interventions in some periods compromising monetary policy effectiveness, and (iv) a volatility reducing effect of cumulative interventions in the 90-day rate, and a volatility increasing effect of large interventions in both the 90-day and 10-year rate futures. These findings are a unique and significant contribution to the prevailing literature as they demonstrate that the RBA's interventions matter not only for the foreign exchange market but also for the debt markets.     

THE INTRADAY INTERDEPENDENCE STRUCTURE BETWEEN U.S. AND JAPANESE EQUITY MARKETS

Contrary to the efficient market hypothesis, previous research documents a significant correlation between lagged U.S. close-to-close stock market returns and current open-to-close Japanese equity market returns. We find that the significant correlation is limited to the first hour of Japanese trading, with subsequent hourly returns independent of lagged U.S. returns. This evidence suggests that the documented significant correlation is attributable to a sticky Japanese opening value associated with the use of nonsynchronous index data.     

BUSINESS CYCLES AND STOCK MARKET RETURNS: EVIDENCE USING INDUSTRY-BASED PORTFOLIOS

Much evidence has emerged recently that suggests stock returns are predictable. In representative agent consumption-based asset pricing models, asset returns are related to aggregate output and consumption through changes in the intertemporal marginal rate of substitution. An alternative view is that the amount of variation required in the intertemporal marginal rate of substitution is too large to be rationally explained. We shed further light on this debate by investigating whether the stock returns of certain sectors of the economy can predict future market returns even after controlling for the information contained in the aggregate market index. In the consumption-based models, aggregate output and consumption affect the discount rates of all assets synchronously; no particular sectoral return should have any more predictive ability than the others. We find evidence that the stock returns of five industry-based portfolios have significant information about future market returns that is not in the market index. This stylized empirical result is not consonant with existing models relating output to stock returns.