iShares Australia: a clinical study in international behavioral finance

Using iShares Australia returns as a proxy for the influence of overseas investors in the Australian market, we found that U.S.-based investors in the Australian market overreact to contemporaneous and lagged returns of the U.S. equity market, the U.S.-Australian dollar exchange rate, and past iShares Australia returns. In response to changing conditional risk, however, investors behave rationally: increasing (decreasing) expected risk is associated with falling (rising) prices. In light of these findings, we hypothesize that behavioral finance might explain the observed correlations between international equity markets.     

No puzzle: The foreign exchange exposure of Australian firms

In this paper we analyze the constant and time-varying influence of currency movements on the value of Australian firms listed on the S&P/ASX 100 index for a period from 1980 to 2010 using daily, weekly, monthly and quarterly returns. Whilst the constant exposure model provides only weak evidence over the full sample period the time-varying exposure analysis reveals that most firms are exposed to currency movements in some periods. The exchange rate exposure of Australian firms is dependent on the appreciation or depreciation trajectory of the Australian dollar and on the sample frequencies used. The positive average FX exposure is consistent with the structure of the Australian economy, the size of the mining sector and the role of the Australian dollar as a commodity currency. Finally, we argue that our findings are fully consistent with financial theory and do not constitute a puzzle.     

An analysis of asymmetry in foreign currency exposure of the Australian equities market

Using both daily and monthly data, the authors: (a) analyse the extra-market component of foreign exchange exposure of the Australian equities market using the Australian/US exchange rate factor return in an augmented market model; and (b) use a dummy variable specification to model the potential asymmetric effect induced by non-linear hedging strategies, such as using currency options, for the period 1988–1996. Overall, the results are mixed. The following are found: (i) stronger evidence of foreign exchange exposure in the analysis employing daily data; (ii) when using daily data, a stronger lagged response than a contemporaneous response is observed; (iii) some evidence of asymmetry; and (iv) evidence of significant exchange rate exposures of the predicted sign in several industries. Further, the findings using monthly data are less significant than those using daily data.     

Emerging market exchange rate exposure

We estimate the exposure of emerging market companies to fluctuations in their domestic exchange rates. We use an instrumental-variable approach that identifies the total exposure of a company to exchange rate movements, yet abstracts from the influence of confounding macroeconomic shocks. In the sub-period of 1999–2002, we find that depreciations tend to have a negative impact on emerging market stock returns. In the sub-period of 2002–2006, this tendency has largely disappeared. Since we estimate the exchange rate exposure of firms from different countries with a common set of instruments, we can make coherent, cross-country comparisons of their determinants. We find that the impact of various measures of debt on exchange rate exposure, which is negative and significant in the early sub-period, becomes insignificant and even reverses sign in the recent sub-period.     

On financial risk and the safe haven characteristics of Swiss franc exchange rates

We analyse bilateral Swiss franc exchange rate returns in an asset pricing framework to evaluate the Swiss franc's safe haven characteristics. A “safe haven” currency is a currency that offers hedging value against global risk, both on average and in particular in crisis episodes. To explore these issues we estimate the relationship between exchange rate returns and risk factors in augmented UIP regressions, using recently developed econometric methods to account for the possibility that the regression coefficients may be changing over time. Our results highlight that in response to increases in global risk the Swiss franc appreciates against typical carry trade investment currencies such as the Australian dollar, but depreciates against the US dollar, the Yen and the British pound. Thus, the Swiss franc exhibits safehaven characteristics against many, but not all other currencies. We find statistically significant time variation in the relationship between Swiss franc returns and risk factors, with this link becoming stronger in times of stress.     

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.     

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.     

The exchange rate exposure of U.S. and Japanese banking institutions

In this paper, we examine the foreign exchange exposure of a sample of U.S. and Japanese banking firms. Using daily data, we construct estimates of the exchange rate sensitivity of the equity returns of the U.S. bank holding companies and compare them to those of the Japanese banks. We find that the stock returns of a significant fraction of the U.S. companies move with the exchange rate, while few of the Japanese returns that we observe do so. We next examine more closely the sensitivity of the U.S. firms by linking the U.S. estimates cross-sectionally to accounting-based measures of currency risk. We suggest that the sensitivity estimates can provide a benchmark for assessing the adequacy of existing accounting measures of currency risk. Benchmarked in this way, the reported measures that we examine appear to provide a significant, though only partial, picture of the exchange rate exposure of U.S. banking institutions. The cross-sectional evidence is also consistent with the use of foreign exchange contracts for the purpose of hedging.     

Asset Growth and the Cross-Section of Stock Returns

We test for firm-level asset investment effects in returns by examining the cross-sectional relation between firm asset growth and subsequent stock returns. Asset growth rates are strong predictors of future abnormal returns. Asset growth retains its forecasting ability even on large capitalization stocks. When we compare asset growth rates with the previously documented determinants of the cross-section of returns (i.e., book-to-market ratios, firm capitalization, lagged returns, accruals, and other growth measures), we find that a firm's annual asset growth rate emerges as an economically and statistically significant predictor of the cross-section of U.S. stock returns.     

The impact of industrial structure and the exchange-rate exposure of industry portfolio returns

The purpose of this paper is to demonstrate that industrial structure is an important determinant of the exchange-rate exposure of industry portfolio returns. A time series regression is conducted on the sample of industries by regressing the rate of change of a trade-weighted US dollar index on the industry portfolio return while controlling for the US market. The regression was conducted using monthly data over a 3-year period (1995–1997). The results indicate that industries that are classified as being globally competitive and those that primarily serve the consumer sector of the economy have significant levels of exposure. The paper also provides some evidence on market efficiency as it pertains to changes in the value of the dollar.     

The Determinants and Implications of Mutual Fund Cash Holdings: Theory and Evidence

In this article, I examine the determinants and implications of equity mutual fund cash holdings. In cross-sectional tests, I find evidence generally supportive of a static trade-off model developed in the article. In particular, small-cap funds and funds with more-volatile fund flows hold more cash. However, I do not find that fund managers with better stock-picking skills hold less cash. Aggregate cash holdings by equity mutual funds are persistent and positively related to lagged aggregate fund flows. Aggregate cash holdings do not forecast future market returns, suggesting that equity funds as a whole do not have market timing skills.     

Trading activity and price reversals in futures markets

We use the standard contrarian portfolio approach to examine short-horizon return predictability in 24 US futures markets. We find strong evidence of weekly return reversals, similar to the findings from equity market studies. When interacting between past returns and lagged changes in trading activity (volume and/or open interest), we find that the profits to contrarian portfolio strategies are, on average, positively associated with lagged changes in trading volume, but negatively related to lagged changes in open interest. We also show that futures return predictability is more pronounced if interacting between past returns and lagged changes in both volume and open interest. Our results suggest that futures market overreaction exists, and both past prices and trading activity contain useful information about future market movements. These findings have implications for futures market efficiency and are useful for futures market participants, particularly commodity pool operators.     

Exchange rates,interventions, and the predictability of stock returns in Japan

Using monthly Japanese data for the period 1991–2005, we examined the link between exchange rate movements and stock returns. We found that exchange rate movements per se do not help to explain stock returns. There is, however, evidence of in-sample predictability if one accounts for the interventions of the Japanese monetary authorities in the foreign exchange market. This evidence does not indicate a violation of market efficiency insofar as investors cannot use information on interventions to systematically improve the performance of simple trading rules based on out-of-sample forecasts of stock returns.     

An Intertemporal International Asset Pricing Model: Theory and Empirical Evidence

We extend Campbell's (1993) model to develop an intertemporal international asset pricing model (IAPM). We show that the expected international asset return is determined by a weighted average of market risk, market hedging risk, exchange rate risk and exchange rate hedging risk. These weights sum up to one. Our model explicitly separates hedging against changes in the investment opportunity set from hedging against exchange rate changes as well as exchange rate risk from intertemporal hedging risk. A test of the conditional version of our intertemporal IAPM using a multivariate GARCH process supports the asset pricing model. We find that the exchange rate risk is important for pricing international equity returns and it is much more important than intertemporal hedging risk.     

Investigating sources of unanticipated exposure in industry stock returns

This paper investigates the sources of both foreign exchange rate and interest rate exposure of industry level portfolios in the G7, decomposing exposure into cash flow and discount rate effects. Initial examination of the degree of exposure on industry returns produces results consistent with the prior literature: that there is little evidence of exchange rate exposure in most industries - the exchange rate exposure puzzle. However, rather than relying solely on the sensitivity of industry returns, we examine the cash flow sensitivity to foreign exchange exposure, of primary interest to firm managers. Critically, decomposing the exposure into cash flow and discount rate components unlocks the exact extent and nature of exposure. Our results show industries have significant cash flow and discount rate exposures. These exposures increase with the level of trade openness and the spread between permanent cash flow exposure and transitory discount rate exposure widens.     

Higher Moments and Exchange Rate Behavior

This paper uses 15‐minute exchange rate returns data for the six most liquid currencies (i.e., the Australian dollar, British pound, Canadian dollar, Euro, Japanese yen, and Swiss franc) vis‐à‐vis the United States dollar to examine whether a GARCH model augmented with higher moments (HM‐GARCH) performs better than a traditional GARCH (TG) model. Two findings are unraveled. First, the inclusion of odd/even moments in modeling the return/variance improves the statistical performance of the HM‐GARCH model. Second, trading strategies that extract buy and sell trading signals based on exchange rate forecasts from HM‐GARCH models are more profitable than those that depend on TG models.     

Industry Concentration,Firm Efficiency and Average Stock Returns: Evidence from Australia

This study examines the relationship between industry concentration and level of firm efficiency and their effect on cross-sectional stock returns in Australian market. Our analysis shows that industry concentration and firm efficiency have independent effects on stock returns. By forming 25 double-sorted portfolios based on industry concentration and firm efficiency, INEFFICIENT firms in concentrated industry earn highest stock returns, while EFFICIENT firms in concentrated industry earn lowest stock returns. Also we find that industry concentration appears to be associated with market share while efficiency has a greater effect on firm earnings. In our cross-sectional regressions, industry concentration shows a positive relationship with average stock returns while firm efficiency shows a negative association with average stock returns. The concentration and efficiency effects are persistent throughout the sample period and is robust after controlling for size and book-to-market.     

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.     

On the determinants of “small” and “large” foreign exchange market interventions: The case of the Japanese interventions in the 1990s

During the past 30 years, central banks have often intervened in foreign exchange markets, and the magnitude of their foreign exchange market interventions has varied widely. We develop a quantitative reaction function model that renders it possible to examine the determinants of “small” and “large” interventions. We apply the model to analyzing the intervention policy of the Japanese monetary authorities (JMA) in the yen/U.S. dollar market during the period from 1991 through 2001. To this end, we use recently released official data on the foreign exchange market interventions of the JMA. We find that the JMA tended to conduct large interventions when the yen/U.S. dollar exchange rate drifted away from an “implicit target exchange rate.”     

LINEAR RELATIONSHIP BETWEEN THE AUD/USD EXCHANGE RATE AND THE RESPECTIVE STOCK MARKET INDICES: A COMPUTATIONAL FINANCE PERSPECTIVE

In the recent era, computational intelligence techniques have found an increased popularity in addressing varied financial issues, including foreign exchange rate prediction. This article, through an intelligent system research framework, relates the Australian dollar (AUD)/US dollar (USD) exchange rate to the Australian and the US stock market indices. Information for exchange rate, All Ordinaries Index (AOI) and Dow Jones Industrial Average (DJI) for the trading days over the period January 1991–May 2011 is considered in this research. Utilizing a set of statistical and computational intelligence techniques, the research establishes that the AUD/USD exchange rate is best estimated by a linear forecast model compared with the nonlinear and ensemble‐based intelligent system models. This research further highlights that, among the competing linear models, the model with both the stock market indices and historical exchange rate values as the predictors is the best forecaster. Parameters of the linear model are deduced through a Monte Carlo stochastic approach. Relative importance of the predictors is also studied, and the influence of historical exchange rates, the immediate impact of AOI and the lagged effect of DJI are noted. Copyright © 2012 John Wiley & Sons, Ltd.