Stock return predictability and determinants of predictability and profits

We examine stock return predictability for India and find strong evidence of sectoral return predictability over market return predictability. We show that mean-variance investors make statistically significant and economically meaningful profits by tracking financial ratios. For the first time in this literature, we examine the determinants of time-varying predictability and mean-variance profits. We show that both expected and unexpected shocks emanating from most financial ratios explain sectoral return predictability and profits. These are fresh contributions to the understanding of asset pricing.     

The risk and predictability of equity returns of the EU accession countries

This paper investigates the importance of global risk factors and the predictability of returns of the 13 EU accession countries, using both unconditional and conditional asset-pricing tests during the turbulent period of 1997–2002. Applied for the first time to the full sample of EU accession countries, we conclude that the world excess return has only somewhat importance for Hungary, Poland and Turkey, indicating low financial liberalization and low integration with the world. The real G-7 interest rate followed by the world excess return, global foreign exchange rate and global inflation rates are the most influential in their explanation of the variation of local market returns. Predictability of local returns is high and variant; global instrumental variables have higher predictive power for eight countries, especially for Bulgaria, Cyprus, Estonia, Lithuania, Romania and Hungary, whereas local instruments are more important for the Czech Republic, Latvia, Poland and Slovenia. The failure of the conditional asset-pricing model to correctly price assets confirms partial integration with the world. Except for Bulgaria, Hungary, Latvia and Malta, predictability cannot be explained by time variation in economic risk premiums, but by local information, market inefficiency and/or investor irrationality.     

TRANSMISSION OF CONDITIONAL STOCK RETURN VOLATILITY ACROSS NORTH AMERICAN MARKETS: Evidence from Pre- and Post-NAFTA

There has been considerable interest in whether stock market volatility is predictable and the extent to which cross-market relationships exist. This article examines the transmission of conditional stock price return volatility across the U.S., Canadian, and Mexican markets. Using daily data over the period 6/2/92-10/28/99 we provide empirical evidence on the extent to which cross-market relationships exist in the pre- and post-NAFTA periods.     

Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes

We study the volatility spillover between China and Asian Islamic stock markets. We use a sample of six Islamic MSCI indices from the Asian region, namely China, India, Malaysia, Indonesia, Korea and Thailand obtained from MSCI (Morgan Stanley Capital International). In this paper we analyze the importance of considering spillover effects between emerging Asian Islamic indexes based on the Bivariate VARMA-BEKK-AGARCH model of McAleer et al. (2009), which includes spillover and asymmetric effects. We compute after the effectiveness of portfolio diversification based on the conditional volatility of returns series. Results show a significant positive and negative return spillover from China to selected Asian Islamic stock market and bidirectional volatility spillovers between China, Korea and Thailand Islamic market showing evidence of short-term predictability on Islamic Chinese stock market movements. However there is no short term volatility persistence in India, Indonesia and Malaysia. GARCH results show no persistence in volatility spillover effect in long term from Chinese to Indian, Indonesian and Korean Islamic stock market. Our findings are beneficial for international portfolio diversification for policy makers and investors since the results of portfolio management and hedging effectiveness ratio are different to previous studies.     

Half-day trading and spillovers

This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets.     

股票市场发展与国家资源配置效率:基于股市信息效率视角的研究

中国股票市场发展已经经历20年的历程,很多方面都取得了巨大的发展成就,然而对于股票市场发展对中国经济增长是否产生了显著的正向促进作用,现有研究文献并没有达到一致结论.文章基于股价波动非同步性测度方法,从股票市场信息效率这一新的视角入手,实证检验股票市场发展与国家资源配置效率的因果影响关系,为这一领域研究提供了新的实证证据.实证结果表明:中国股票市场信息效率与国家资源配置效率显著正相关,且这种正相关关系在效益上升行业与下降行业没有显著差别,即高信息效率股票市场能引导社会在高资本回报率的行业内继续追加投资,在低资本回报率的行业内及时削减资本投入,从而提高资源配置效率.因此中国股票市场发展具有较好的经济效应,它对经济增长产生了显著正向促进作用.     

Stock return predictability of the cumulative abnormal returns around the earnings announcement date: Evidence from China

We find that cumulative abnormal returns adjusted by size, book-to-market, and momentum around the earnings announcement date (DGTW_CAR3 hereafter) significantly and positively predict stock returns in the 6-month period from May 2005 to October 2020 in the China's A-shares market. The monthly equally-weighted DGTW_CAR3 premiums are 0.47% and 0.67% after risk adjustment. Although stock price delay fails to fully account for the DGTW_CAR3 premium, we find that the DGTW_CAR3 premium is more significant for illiquid stocks and during periods with high investor sentiment. This result suggests that market inefficiency explains the DGTW_CAR3 premium. Further analysis shows that, in addition to earnings information, the optimism reflected in the management discussion and analysis section of the annual or half-year report also contributes to the DGTW_CAR3 premium. This finding implies that DGTW_CAR3 may contain new fundamental information that correlates significantly and positively with future stock performance. Finally, we find that the institutional ownership change of a stock associated with DGTW_CAR3 also significantly and positively predicts the stock's return, suggesting that institutional investors adjust their holdings according to DGTW_CAR3 and consequently influence the demand for the stock in the China's A-shares market.     

Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?

Does Eurozone equity market liquidity affect economic growth? If so, how does the Euro currency affect the dynamic relationship between growth and stock market liquidity (macro-liquidity relation) of the Eurozone? We address these questions using data from ten Eurozone countries and the UK. The findings document the predictability role of liquidity proxies on economic growth, suggesting that stock market liquidity influences economic growth. The results reveal that liquidity increases substantially after a structural break realized around the Euro's introduction in Europe, and in all countries except Portugal we find that liquidity improvement coincides with higher growth. During periods of high exchange-rate volatility between currencies (which tend to be periods of high uncertainty and economic convergence), growth becomes highly affected by stock market liquidity movements.     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

The conditional relationship between beta and returns: recent evidence from international stock markets

The risk–return relationship is one of the fundamental concepts in finance that is most important to investors and portfolio managers. Finance theory argues that the beta or systematic risk is the only relevant risk measure for investors. However, many studies have showed that betas and returns are not related empirically, no matter in domestic markets or in international stock markets. This paper examines the conditional relationship between beta and returns in international stock markets for the period from January 1991 to December 2000. After recognizing the fact that while expected returns are always positive, realized returns could be positive or negative, we find a significant positive relationship between beta and returns in up market periods (positive market excess returns) but a significant negative relationship in down market periods (negative market excess returns). The results are robust for both monthly and weekly returns and for two different proxies of the world market portfolio. Our findings indicate that beta is still a useful risk measure for portfolio managers in making optimal investment decisions.     

Testing for stock return predictability in a large Chinese panel

This paper proposes a simple panel data test for stock return predictability that is flexible enough to accommodate three key salient features of the data, namely, predictor persistency and endogeneity, and cross-sectional dependence. Using a large panel of Chinese stock market data comprising more than one million observations, we show that most financial and macroeconomic predictors are in fact able to predict returns. We also show how the extent of the predictability varies across industries and firm sizes.     

Pricing of global and local sources of risk in Russian stock market

This paper investigates whether global, local and currency risks are priced in the Russian stock market using conditional international asset pricing models. The estimation is conducted using a modified version of the multivariate GARCH-M framework of De Santis and Gérard [De Santis, G., Gérard, B., 1998, How big is the premium for currency risk? Journal of Financial Economics 49, 375–412]. We take US investors' point of view and use a sample period from 1995 to 2006. The results show that the world market risk together with the currency and local market risks are priced on the Russian stock market.     

International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries

This paper investigates the interdependence between the Vietnamese stock market and other influential equity markets in terms of return linkage and volatility transmission covering the period including pre, during and post the 2008 Global Financial Crisis. A VAR model is utilized to estimate the conditional return linkage among these indices and a GARCH-BEKK model is employed to investigate the volatility transmission. We find evidence of statistically significant correlation, return spillover and volatility linkage between Vietnamese stock market with other leading equity markets of the US, Hong Kong and Japan. Moreover, we find that during the financial crisis, stock markets become more interrelated.     

ARCH族模型在上证收益率变动中的实证研究

股票价格的频繁波动是股票市场最明显的特征之一。利用ARCH模型及其扩展模型对上证综合指数的波动性进行实证研究,结果发现,我国上海股票市场收益率序列有明显的尖峰厚尾性、波动聚类性、非正态性以及存在条件异方差特性,波动的信息不对称性等特点。     

中美证券市场信息扩散速度比较研究

本文利用信息传播速度模型讨论证券市场信息的有效性。发现在上海证券交易市场上信息传播速度对上证指数条件波动率的影响具有随时间变化逐渐扩大的趋势,而在纽约证券交易市场上信息传播速度对道琼斯指数条件波动率的影响相对稳定。表明上海证券市场消化新信息的效率明显低于纽约证券市场。实证结果较好地刻画了中美证券市场信息流动的基本特征。     

高波动股市下的条件相关与风险分散效果

在一般化误差分配假设下,利用风险值估计的方法分别求出台湾地区股票市场牛市与熊市的条件相关系数,以检验风险分散的效益。实证研究发现:在高波动期间,股市类股指数的条件相关性及非系统风险皆显著小于平常时期,显示股市的联动性及非系统风险在高波动期间会较低,此与过去文献的发现相反。然而,不论在高波动期间还是在平常期间,股市的联动性都偏高,投资者或基金经理人应该尽可能运用国际多角化的投资,以提高风险分散的效益。     

Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings*

In this paper we analyze whether presidential approval ratings can predict the S&P 500 returns over the monthly period of July 1941 to April 2018, using a dynamic conditional correlation multivariate generalized autoregressive conditional heteroscedasticity (DCC‐MGARCH) model. Our results show that standard linear Granger causality test fail to detect any evidence of predictability. However, the linear model is found to be misspecified due to structural breaks and nonlinearity, and hence, the result of no causality from presidential approval ratings to stock returns cannot be considered reliable. When we use the DCC‐MGARCH model, which is robust to such misspecifications, in 69% of the sample period, approval ratings in fact do strongly predict the S&P 500 stock return. Moreover, using the DCC‐MGARCH model we find that presidential approval rating is also a strong predictor of the realized volatility of S&P 500. Overall, our results highlight that presidential approval ratings is helpful in predicting stock return and volatility, when one accounts for nonlinearity and regime changes through a robust time‐varying model.     

Is Indonesia's stock market different when it comes to predictability?

We construct a unique dataset consisting of 342 firms aimed at stock return predictability. Using seven predictors, we show that unlike in conventional markets, it is capital expenditure that is the most successful predictor of returns. However, the overall evidence of out-of-sample predictability when using other conventional return predictors is weak. Capital expenditure-based forecasting models do lead to profits also although these are small. This tends to imply that for markets that are at the nascent stages of development, such as Indonesia, capital expenditure might have a role to play in shaping the market. Our results are in sharp contrast to the literature on emerging markets.     

股票价格与短期利率动态相关性的实证分析

对1996－2006年之间中国短期利率与上证综指之间的动态相关性,运用了动态条件相关的二维GARCH模型和ACC（自回归条件相关）模型进行了实证分析。实证结果表明了2002年之前利率与股指之间动态负相关性比较微弱,说明我国金融市场存在分割性,但是从2002年这种负相关性持续增强,表明中国的金融市场逐渐走向成熟。