Spillovers of currency carry trade returns,market risk sentiment,and U.S. market returns

This paper examines the link between spillovers of currency carry trade returns and U.S. market returns. Following Tse and Zhao (2012), this paper hypothesizes that the magnitude of spillovers of currency carry trade returns is positively correlated with market risk sentiment and, therefore, has an impact on market returns. Using the G10 currencies and S&P 500 index futures, the empirical results present a high magnitude of spillover effects of currency carry trade markets. The empirical findings also show a significantly positive relationship between spillovers of currency carry trade returns and subsequent market returns. Furthermore, the results indicate that this relationship is stronger in bear markets than in bull markets. Finally, our findings show that spillovers of currency carry trade returns significantly affect the subsequent transition probabilities of market returns.     

Stock returns and volatility: Another look

Most empirical work examining the intertemporal mean-variance relationship in stock returns has tended to use relatively simple specifications of the mean and especially of the conditional variance. We augment the information set to include economic variables that other researchers have found to be important and use GARCH-M models to explore the relation between volatility and expected stock returns. We find that the additional variables have little impact on the conditional variance and that any intertemporal relationship between volatility and stock returns is weak or unstable. Our results signal the need for theoretical models of the intertemporal volatility-return relationship, and call for further studies of the determinants of the conditional variance of stock returns.     

Infectious diseases tracking and sectoral stock market returns: A quantile regression analysis

This paper investigates the relationship between changes in the newspaper-based infectious diseases tracking index (ITI) of Baker et al. (2020) and sectoral stock market returns in the US. Our results spanning the period 1985:01 to 2020:03 reveal the presence of a negative (positive) relationship between returns and ITI at lower (higher) return quantiles (representing different market conditions) in a majority of the sectors. For the health care sector, this relationship is negative at all quantiles. Interestingly, inclusion of the COVID-19 period in the sample data leads to the detection of a stronger relationship for smaller quantiles across all sectors. An asymmetric relationship between returns and the ITI is witnessed across different market conditions for the Consumer Staples, Healthcare, Industrial and Technology sectors. Results from a rolling regression uncover differences in the magnitudes of responses to various infectious diseases over time. Our results carry important implications regarding investment strategies for US sectoral returns in the presence of news relating to infectious diseases.     

Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan

This paper investigates the role of liquidity provisions played by individual investors prior to dividend announcements in Taiwan. We first document a positive relationship between aggregate individual trading before dividend announcements and abnormal stock returns in the one month after the events. We find that this positive relationship varies with liquidity. We then decompose the abnormal returns following the event into information and liquidity provision components. The information component is not significant at all, but the liquidity component is positively significant, which shows that it is individual investors’ provisions of liquidity to institutional investors prior to dividend announcements that drives the positive relationship between pre-event individual trading and post-event returns.     

Structural analysis and forecast of gold price returns

Gold has multiple attributes and its price is affected by various factors in the market. This paper studies the dynamic relationship between the gold price returns and its affecting factors. Then we use the STL-ETS, neural network and Bayesian structural time series model to predict the gold price returns, and compare their performance with the benchmark models. The results show that the shocks of crude oil returns and VIX have the positive effect on gold price returns, the shocks of the US dollar index have the negative effect on gold price returns. And the fluctuation of gold price returns mainly depends on crude oil price returns shocks. STL-ETS model can accurately fit the fluctuation trend of the gold price returns and improve prediction accuracy.     

Efficiency and stock returns: evidence from the insurance industry

This study investigates whether the capital market values the efficiency of firms. After tracing stock returns and efficiency changes of 399 listed insurance firms in 52 countries during the 2002–2008 period, the paper reports a positive and statistically significant relationship between profit efficiency change and market adjusted stock returns. However, there is no robust evidence that cost efficiency change is associated with stock returns.     

The asymmetric predictability of high-yield bonds

This study examines the relationship between the high-yield bonds market and the stock market and indicates that stock returns lead high-yield bond returns. Specifically, this study further shows that this lead–lag relationship is more solid during bear market periods since a downward trend in the stock market implies a high likelihood of the exercise of the equity put in short position embedded in a high-yield bond at maturity. We also conducted out-of-sample forecast using a VAR model, an AR model and naïve estimation during bear market and non-bear market periods. Our results demonstrate that high-yield bond returns are better predicted by a VAR model that includes past stock returns than by an AR model or naive estimation during bear market periods, but such is not the case during non-bear market periods.     

投资房地产可以对冲通货膨胀风险吗——以中国内地为例

本文基于费雪效应,考察了中国内地过去20余年间通货膨胀率与房地产收益率的同期关系、长期均衡关系,以及在不同收益率条件分布下二者的关系。结果表明,短期内投资房地产不能对冲通货膨胀,但从长期来看,投资房地产却是对冲通货膨胀的有效工具。然而在房地产收益率处于"极端"情形下,盲目投资房地产不但不会抵御通货膨胀风险,还会带来更大的损失。     

Nonlinear effects of monetary policy on stock returns in a smooth transition autoregressive model

This paper employs smooth transition autoregressive (STAR) models to investigate the nonlinear effect of monetary policy on stock returns. The change in the Federal funds rate is used as an endogenous measure of monetary policy, and the growth rate of industrial production is also considered in the model. Our results show that the relationship between the monetary policy and excess returns on stock prices is positive and nonlinear. A decrease in the Federal funds rate causes a larger increase in excess returns if excess stock returns are located in the extreme low excess returns regime.     

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.     

The symmetrical and positive relationship between crude oil and nominal exchange rate returns

This paper investigates both the static and dynamic relationships between daily crude oil returns and US dollar exchange rate returns using a test for symmetrical exceedance correlations and two mixture copulas. Empirical results demonstrate that the exceedance correlations between oil and exchange rate returns are both positive and symmetrical, indicating that the two return rates move in the same direction and that the relationship between them is symmetrical for the upper and lower quantiles. The crude oil-exchange rate relationship is sensitive to the sample period investigated. Before the 1998 financial crisis, exceedance correlations are close to zero, showing almost no correlation between the oil and exchange rate markets. However, the positive co-movement has significantly increased since the 2008 financial crisis. Furthermore, Kendall's tau coefficients of two symmetrized copulas greatly increase after the 2008 financial crisis, revealing that the probability of both returns moving in the same direction is higher than it is in the opposite direction.     

Foreign Acquisitions in the United States and the Effect on Shareholder Wealth

The research presented here indicates that foreign acquisitions in the United States in the form of mergers, have resulted in abnormal returns to targets of nearly 22 percent, a figure not much higher than in domestic mergers. Sell-off abnormal returns have averaged nearly three percent, substantially higher than the average 0.7 to 1.66 percent in the domestic case. We find that merger abnormal returns have been substantially higher in our first subperiod (1982–84) than in the second (1985–87). For selloffs, our results are reversed-abnormal returns have been higher in the second subperiod. In cross-sample tests, we find the Japanese paying the highest merger premiums/abnormal returns, while the sell-off abnormal returns are highest when Germans are the buyers. We also find significant differences across industry samples but not across combination type samples. We do not find a significant relationship of these abnormal returns to the firm's accounting and financial variables.     

Stock returns and economic activity in mature and emerging markets

This paper empirically investigates the dynamic interdependencies between stock returns and economic activity in mature and emerging markets. The existence, kind and strength of potential uni-directional and/or bi-directional relations are examined, running from stock returns to future economic activity and/or from economic activity to future stock returns. A bivariate VAR(12) model is applied and Granger causality tests are performed. Monthly data covering the January 1991–December 2006 period are used. The existence of an empirical relationship, with forecasting ability, between stock returns and future economic activity is confirmed. The results are strongly differentiated between mature and emerging markets.     

Anomalies in emerging markets: The case of Mexico

In this article we explore the relationship between 19 of the most common anomalies reported for the US market and the cross-section of Mexican stock returns. We find that 1-month stock returns in Mexico are robustly predicted only by 3 of the 19 anomalies: momentum, idiosyncratic volatility, and the lottery effect. Momentum has a positive relation with future 1-month returns, while idiosyncratic volatility and the lottery effect have a negative relation. For longer horizons of 3 and 6 months, only the 3 most important factors in the US market predict returns: size, book-to-market, and momentum.     

Firm-specific Human Capital Accumulation: Evidence from Brazil*

We introduce firm-specific returns to experience and tenure into a standard two-way fixed effects model, show that they are separately identified under the standard exogenous mobility assumption and with sufficient between firm mobility, and provide a new evidence on heterogeneity of returns to experience and tenure across firms using the administrative data from Brazil over the years 1999–2014. We document that (1) returns to tenure are not strongly related to firm wage premia, (2) returns to experience are strongly negatively correlated with firm wage premia, (3) the relationship between firm wage premium and return to experience is stronger for ‘blue collar’ firms.     

The relationship between the smoothing of reported income and risk-adjusted returns

This paper uses risk-adjusted returns for the firms in the S&P 500 to test whether the stock market response to accounting performance measures is related to the smoothness of companies’ reported earnings. Three income models, increasing in their measure of smoothness, test the hypotheses using cumulative average abnormal returns. The results indicate that companies that report smooth income have significantly higher cumulative average abnormal returns than firms that do not. When size is considered, market returns are higher for small companies than for large companies. There is also a significant relationship between the type of industry and income smoothing.     

Impact of uncertainty on high frequency response of the U.S. stock markets to the Fed's policy surprises

This paper examines the impact of uncertainty on estimated response of stock returns to U.S. monetary policy surprise. This is motivated by the Lucas island model which suggests an inverse relationship between the effectiveness of a policy and the level of uncertainty in the economy. Using high frequency daily data from the Federal funds futures market, we first estimate the response of S&P 500 stock returns to monetary policy surprises within the time varying parameter (TVP) model. We then analyze the relationship of these time varying estimates with the benchmark VIX index and alternative measures of uncertainty. Evidence suggests a significant negative relationship between the level of uncertainty and the time varying response of S&P 500 stock returns to unanticipated changes in the interest rate. Thus, at higher levels of uncertainty the impact of monetary policy shocks on stock markets is lower. The results are robust to different measures of uncertainty.     

Testing for linear and nonlinear granger causality in the stock price-volume relation: Korean evidence

In this paper, linear and nonlinear Granger causality tests are used to examine the dynamic relationship between daily Korean stock returns and trading volume. We find evidence of significant bidirectional linear and nonlinear causality between these two series. ARCH-ype models are used to examine whether the nonlinear causal relations can be explained by stock returns and volume serving as proxies for information flow in the stochastic process generating volume and stock returns respectively. After controlling for volatility persistent in both series and filtering for linear dependence, we find evidence of nonlinear bidirectional causality between stock returns and volume series. The finding of strong bidirectional stock price-volume causal relationships implies that knowledge of current trading volume improves the ability to forecast stock prices. This evidence is not supportive of the efficient market hypothesis. Another finding is that the nonlinear relationship is sensitive to institutional, organizational, and structural factors. The results of this study should be useful to regulators, practitioners and derivative market participants whose success precariously depends on the ability to forecast stock price movements.     

Economic policy uncertainty,oil price volatility and stock market returns: Evidence from a nonlinear model

This paper investigates the nonlinear relationship between economic policy uncertainty, oil price volatility and stock market returns for 25 countries by applying the panel smooth transition regression model. We find that oil price volatility has a negative effect on stock returns, and this effect increases with economic policy uncertainty. Furthermore, there is pronounced heterogeneity in responses. First, oil-exporting countries whose economies depend more on oil prices respond more strongly to oil price volatility than oil-importing countries. Second, stock returns of developing countries are more susceptible to oil price volatility than that of developed countries. Third, crisis plays a crucial role in the relation between oil price volatility and stock returns.     

The role of U.S. Investors in international equity market inflows,outflows, and net flows for selected emerging asian markets

This paper investigates the relationship between international equity flows and returns in the eight largest emerging Asian markets from 1988 through March 2002. Both the feedback-trading hypothesis, which states that past returns affect flows, and the information hypothesis, which states that flows affect returns, are tested. Volatility effects are included, and effects of the 1997 Asian crisis on the relationships are also studied. While past studies have focused on net flows, this paper investigates outflows and inflows separately to determine whether their behavior patterns follow those of net flows.