On the predictability of Chinese stock returns

We examine stock return predictability in China. We take 18 firm-specific variables that have been documented to predict cross-sectional stock returns in the U.S. and examine their relation with stock returns in China for the sample period from 1995 to 2007. We find relatively weak predictability for Chinese stocks. Only five firm-specific variables predict returns in the Chinese market. Tests on U.S. stock returns find that more predictors can explain cross-sectional stock return variation. We test two explanations for the cause of weak returns predictability in China. First, perhaps return predictors in China are less heterogeneously distributed than they are in the U.S. Second, stock prices are less informative in China than they are in the U.S. We find support for both explanations.     

Economic exposure and hysteresis: Evidence from German,Japanese, and U.S. stock returns

Real exchange rate changes reflect terms of trade changes and macroeconomic shocks in productivity, aggregate demand, and interest rates. We show that German, Japanese, and U.S. excess stock returns vary directly with changes in the real terms of trade as well as with exchange rate changes induced by the macroeconomic factors. These results suggest that economic exposure is a global phenomenon. Although German, Japanese, and U.S. firms appear to adjust costs and productivity in response to economic exposure, there are indications that firms in all three countries suffer from hysteresis, an effect persisting after the initial cause is removed.     

Profitable predictability in the cross section of stock returns

Haugen and Baker (1996) report that a long-short stock selection strategy based on more than 50 measures of accounting information and past return behavior would have generated excess returns of approximately 3% per month. We find that the Haugen and Baker strategies do not provide attractive returns after transaction costs if an investor already has access to strategy portfolios based on book-to-market and momentum. We also provide an extensive analysis of transaction costs over a long sample and we report results of independent interest to researchers in market microstructure.     

The effects of oil price shocks on U.S. stock order flow imbalances and stock returns

This paper investigates for the first time the effects of oil demand shocks and oil supply shocks on stock order flow imbalances leading to changes in stock returns. Through the estimation of a structural VAR model, positive oil demand shocks are able to explain almost 36% of the observed variation in the daily average stock order flow imbalances measured by the buy/sell trades ratio; which consequently lead to a negative rather than positive stock returns reaction. In contrast, oil supply shocks exhibit a negative and marginally significant effect on stock order flow imbalances. Our aggregate analysis suggests that positive shocks on stock order flow imbalances are negatively related to stock returns. These effects are stronger for oil-related sectors when compared with the rest of the equities sectors.     

Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets

We examine the spillover dynamics between the U.S. and BRICS stock markets using the multivariate DECO-GJR-GARCH model and spillover index method. We identify time variations in volatility equicorrelation and significant dynamic spillovers between these stock markets, as well as an increased impact of uncertainty on spillovers. Spillovers between markets intensify after the inception of the global financial crisis and subsequent European sovereign debt crisis. We also find, following the commencement of the crisis periods, that the U.S., Brazilian, and Chinese markets are net volatility transmitters, whereas the Russian, Indian, and South African markets are net recipients. These results shed new light on the information transmission channels between the U.S. and BRICS stock markets.     

Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S.

This paper studies the relationship between monetary policy and stock market return in the U.S. using nonlinear econometric models. It first employs a univariate Markov-switching model on each of the three stock indices and three monetary policy variables, displaying significant regime-switching patterns and common movements. This paper then uses a Markov-switching dynamic bi-factor model to simultaneously extract two latent common factors from stock indices and monetary policy variables to represent monetary policy changes and stock market movements separately. The smoothed probabilities of regimes demonstrate that expansionary monetary policy regimes follow economic recessions, but bear stock markets usually occur before economic recessions. The maximum likelihood estimation results show that expansionary monetary policy such as a decrease in the federal funds rate raises stock returns, but stock returns don't directly influence monetary policy decision.     

Information diffusion and the predictability of New Zealand stock market returns

This paper examines the impact of international predictors from liquid markets on the predictability of excess returns in the New Zealand stock market using data from May 1992 to February 2011. We find that US stock market return and VIX contribute significantly to the out‐of‐sample forecasts at short horizons even after controlling for the effect of local predictors, while the contribution by Australian stock market return is not significant. We further demonstrate that the predictability of New Zealand stock market returns using US market predictors could be explained by the information diffusion between these two countries.     

U.S. monetary policy indicators and international stock returns: 1970-2001

It is documented in the literature that U.S. and many international stock returns series are sensitive to U.S. monetary policy. Using monthly data, this empirical study examines the short-term sensitivity of six international stock indices (the Standard & Poor 500 [S&P] Stock Index, the Morgan Stanley Capital International [MSCI] European Stock Index, the MSCI Pacific Stock Index, and three MSCI country stock indices: Germany, Japan, and the United Kingdom) to two major groups of U.S. monetary policy indicators. These two groups, which have been suggested by recent research to influence stock returns, are based on the U.S. discount rate and the federal funds rate. The first group focuses on two binary variables designed to indicate the stance in monetary policy. The second group of monetary indicators involves the federal funds rate and includes the average federal funds rate, the change in the federal funds rate, and the spread of the federal funds rate to 10-year Treasury note yield. Dividing the sample period (1970-2001) into three monetary operating regimes, we find that not all policy indicators influence international stock returns during all U.S. monetary operating periods or regimes. Our results imply that the operating procedure and/or target vehicle used by the Federal Reserve Board (Fed) influences the efficacy of the policy indicator. We suggest caution in using any monetary policy variable to explain and possibly forecast U.S. and international stock returns in all monetary conditions.     

Decomposing the VIX: Implications for the predictability of stock returns

The VIX index is not only a volatility index but also a polynomial combination of all possible higher moments in market return distribution under the risk-neutral measure. This paper formulates the VIX as a linear decomposition of four fundamentally different elements: the realized variance (RV), the variance risk premium (VRP), the realized tail (RT), and the tail risk premium (TRP), respectively. Using an innovative and nonparametric tail risk measure, we find that approximately one-third of the VIX's formation is attributed to the TRP. In addition to VRP, RT and TRP are crucial components for predicting future returns on equity portfolios.     

The reaction of the U.S. and the European Monetary Union to recent global financial crises

This paper analyzes the responses of the United States and the economies of the Economic and Monetary Union (EMU) to the financial and economic crisis of 2008–2009. The crisis illuminates the fundamental structural problems within the EMU, the European Union and the United States and the scale and scope of interconnections among the world economy. The paper focuses on the reactions of the real sector to the financial disturbances in these economies. Both comparative static and dynamic methodologies are used in order to appraise the scope and pace of adjustments in response to the global crisis.     

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 empirical analysis of the day-of-the-week effect in stock returns: The case of U.S. and Japan

This article employs daily closing index data to investigate the relationship between the U.S. and Japanese equity markets. It reassesses and extends the Becker et al. (1990) methodology over a longer sample space. The article then advances the analysis further by estimating structural equation models and by including the exchange rate as an additional explanatory variable. The resulting multivariate econometric design shows that the U.S. equity market strongly affects the Japanese equity market Monday through Friday while the Japanese market exerts a weaker influence on the U.S. market with the influence observed only on Mondays and Wednesdays.     

Index membership and predictability of stock returns: The case of the Nikkei 225

When stocks are added to (deleted from) an index, more (less) information should be generated and incorporated into their prices, leading to higher (lower) pricing efficiency and lower (higher) return predictability for them. We test this hypothesis for the first time using membership changes in the Nikkei 225. Employing two alternative tests, we document that the return series become more (less) random and, thus, less (more) predictable for stocks added (deleted). We further find that these changes are related to changes in the information environment for the stocks involved, supporting the hypothesis. These findings should be of interest to portfolio managers.     

Federal Reserve financial crisis lending programs and bank stock returns

We use an E-GARCH model to estimate the wealth effects of Federal Reserve lending during the financial crisis to Investment banks (I-Banks), “Too Big to Fail” (TBTF) banks, and “traditional” commercial banks. Borrowing from the Term Auction Facility program has negative wealth effects for all banks and I-banks in particular. We also find that the market view of the liquidity programs changed across the sample sub-periods. I-Bank and TBTF bank borrowing from the discount window is initially viewed positively, however continued use of the discount window and the Term Auction Facility was generally (though not universally) viewed negatively. Commercial Paper Funding Facility program participation is consistently positive only for traditional banks and programs that focus on the purchase of specific securities (e.g., commercial paper) to address specific problems also appear to primarily benefit traditional banks. The inconsistency of results across the time periods of the crisis is telling as market participants struggled to discern what access to these programs meant.     

Long-term U.S. infrastructure returns and portfolio selection

Our understanding of the long-term return behavior and portfolio characteristics of public infrastructure investments is limited by a relatively short history of empirical data. We re-construct U.S. listed infrastructure index returns by mapping their monthly performance to received systematic and industry risk factors from 1927 through 2010. Our findings reveal that the infrastructure returns in recent years may understate the tail-risk that investors could experience over the long-term, however, this tail-risk is commensurate with holding a broad portfolio of U.S. stocks. For mean-variance and mean-CVaR investors, we report the benefits of holding public infrastructure assets in investment portfolios.     

A comprehensive investigation on the predictive power of economic policy uncertainty from non-U.S. countries for U.S. stock market returns

This study uses economic policy uncertainty (EPU) indices for ten developed countries, three diffusion models, and five combination methods to forecast excess returns in the U.S. stock market. It shows empirically that, over the period January 1997 to January 2022, non-U.S. EPU indices have better predictive power for U.S. equity market excess returns than the U.S. EPU index itself. This illustrates how economic information from international markets can affect the U.S. stock market. This finding challenges the extensively recognized view that the U.S. is where important market signals are initially transmitted to other markets, suggesting that this belief is incomplete. Our outcomes are robust to a battery of tests covering model selection, model specification, forecast horizons, and the pandemic period, and their economic values are assessed. The findings are essential for the financial field to confront future fierce situations and crises.     

Asset growth and stock returns: Evidence from Asian financial markets

This study examines the effect of corporate asset growth on stock returns using data on nine equity markets in Asia. For the period from 1981 to 2007, we find a pervasive negative relation between asset growth and subsequent stock returns. Such relation is weaker in markets where firms' asset growth rates are more homogeneous and persistent and in markets where firms rely more on bank financing for growth. On the other hand, corporate governance, investor protection, and legal origin do not influence the magnitude of the asset growth effect in Asian markets.     

The near-collapse of LTCM,US financial stock returns,and the fed

We examine both the contagion and the “too-big-to-fail” hypotheses in the context of the long-term capital management (LTCM) crisis in the US financial services industry. Our results show that those commercial and investments banks that were exposed to LTCM lost market values significantly around important events surrounding the near collapse of LTCM, but the losses experienced by investment banks are much higher than the losses faced by commercial banks. Smaller S&L institutions and bigger insurance companies were also affected by the crisis, implying a form of contagion effect in the financial sector. We find some evidence of a `too-big-to-fail' policy with the involvement of the Fed in LTCM, as perceived by the markets.     

A note on the temporal variability of Canadian financial services stock returns

We show that Financial Services stock returns in Canada are covariance nonstationary with respect to any benchmark variable and vary negatively with interest rate levels. We find that the conditional correlation between financial services stock returns and the market returns varies directly and monotonically with market volatility. This result is robust to monetary regime shifts and other sources of high volatility. These findings, combined with those of Kane and Unal (1988) for the U.S., cast considerable doubt on the constant coefficient Two-Index model and its variants, to provide reliable estimates of usual risk measures.     

Do foreign purchases of U.S. stocks help the U.S. stock market?

This paper investigates the relationship between the U.S. S&P 500 stock market and purchases of U.S. corporation stocks by foreign investors. Estimations using monthly data from 1978:1 to 2008:7 under various methodologies show that, controlling for asset prices (interest rates and the yield curve) and inflation, purchases of U.S. stocks by foreign investors have a positive and statistically significant impact on the U.S. stock market performance. We also show that their relationship is time variant. In a global world, the demand-side variable captured by the foreign appetite for U.S. stocks attenuates the negative effects associated with the domestic forces.