Short sale constraints,dispersion of opinion,and stock overvaluation: Evidence from earnings announcements in China

Using a clean setting in China, we test the Miller (1977) hypothesis that stocks are overvalued in the presence of short sale constraints and dispersion of opinion as an extension of Berkman et al. (2009). We find that stocks with short sale constraints have significantly negative abnormal returns during earnings announcement periods, especially when investors have diverse opinions. These results are robust to alternative measures of abnormal returns and endogeneity concern. The findings help to explain the impact of short sale constraints on pricing efficiency and have important policy implications for relaxing restrictions on short selling and improving regular information disclosure in emerging markets.     

Stock returns and volatility: Evidence from the Athens Stock market index

This paper investigates the volatility of the Athens Stock excess stock returns over the period 1990–1999 through the comparison of various conditional hetero-skedasticity models. The empirical results indicate that there is significant evidence for asymmetry in stock returns, which is captured by a quadratic GARCH specification model, while there is strong persistence of shocks into volatility.     

Order imbalance and stock returns: Evidence from China

We investigate the relation between daily order imbalance and return in the Chinese stock markets of Shenzhen and Shanghai. Prior studies have found that daily order imbalance is predictive of subsequent returns. On the two Chinese exchanges we find the autocorrelation in order imbalances is similar to that of the New York Stock Exchange as reported by Chordia and Subrahmanyam [Chordia, T., & Subrahmanyam, A. (2004). Order imbalance and individual stock returns: Theory and evidence. Journal of Financial Economics, 72, 485–518]. We also find a strong contemporaneous relation between daily order imbalances and returns. However, we do not find evidence that order imbalances predict subsequent returns. We attribute the difference in predicative power to differences in trading mechanisms on the two exchanges and to differences in the share turnover rates.     

Modelling conditional skewness: Heterogeneous beliefs,short sale restrictions and market declines

This paper tests the relationship among heterogeneous beliefs, short sale restrictions and time-varying conditional skewness under different market conditions. The results show that heterogeneous beliefs and short sale restrictions have negative impacts on conditional skewness during periods of market decline but have negative, positive or no impacts during periods of market growth. This evidence reconciles conflicting evidence in recent empirical studies on the relationship among heterogeneous beliefs, short sale restrictions and conditional skewness.     

Stock liquidity and stock prices crash-risk: Evidence from India

In this paper, we examine the role of stock liquidity as a governance mechanism to discipline managers for withholding bad news (stock price crash-risk). This topic is useful to emerging markets because the dominance of controlling owners limits the monitoring of internal governance. Stock liquidity can be altered by the financial market regulations, thereby improving firm-level governance. In empirical analysis, we show that stock liquidity decreases stock price crash-risk. We identify two possible mechanisms through which stock liquidity reduces stock price crash-risk: the threat of intervention and price informativeness.     

价格波动性与股票预期回报——基于中国市场的初步证据

基于国际资本市场数据的研究发现,股票价格的波动率和股票未来的回报率负相关,而且风险差异不能解释这个现象,文章使用中国股票市场的数据发现了相同的结论。在1998年1月到2003年12月期间内,基于过去一个月内股价波动率的对冲组合在未来六个月内能够取得0.32%的月风险调整超额回报率。M iller(1977)认为股价波动性代表了投资者对股票价值评估的不确定性和异质性,因为卖空限制的存在,波动性高的股票的价格更多地反映了乐观投资者的看法,因而出现高估价值的错误定价。文章分析认为M iller的错误定价理论能够解释股价波动率与未来回报率之间的负相关关系。     

Corporate governance and stock price crash risk: Evidence from Taiwan

Managers are likely to withhold negative news to protect their own interests. When they can no longer withhold such news, extreme negative returns and a stock price crash (SPC) follow. This study explores whether a favorable corporate governance (CG) mechanism helps reduce SPC risk. The findings reveal that CG affects SPC risk. Moreover, the effects of institutional ownership, board size, and disclosure violation frequency are particularly significant in family-owned businesses. We also examine the effectiveness of CG evaluation (CGE) in Taiwan and discover that companies with high rankings are substantially less likely to encounter an SPC. This study verifies that CGE can be considered an indicator of SPC risk.     

Misvaluation comovement,market efficiency and the cross-section of stock returns: Evidence from China

In this study, we examine the relation between stock misvaluation and expected returns in China's A-share market. We measure individual stocks’ misvaluation based on their pricing deviation from fundamental values, following Rhodes-Kropf et al. (2005. J. Finan. Econ. 77 (3), 561) and Chang et al. (2013. J. Bank. Finance, forthcoming), and find that the measure has strong and robust return predictive power in the Chinese market. We further form a misvaluation factor and find that misvaluation comovement and systematic misvaluation exist in the Chinese market. A comparison of our results with those of Chang et al. (2013. J. Bank. Finance, forthcoming) reveals that the misvaluation effect is much stronger in the Chinese market than in the U.S market. This evidence is consistent with the notion that the Chinese market is much less efficient than the U.S. market. Finally, we show that the return predictive power of misvaluation has weakened since China launched its split-share structure reform in 2005, which could result from the fact that the reform helps to promote market efficiency.     

Autocorrelation of the trade process: Evidence from the Helsinki Stock Exchange

This study investigates how duration-based trading intensity modifies the first-order autocorrelation and the transitory variance of the trade process. Because prices are conditional expected values, a structural model in which the trade duration represents the rate at which prices incorporate new information is developed. This refined model is an extension of the one developed by Madhavan, Richardson, and Roomans (1997) and allows parameters characterizing the arrival rate of new information to be derived. Testing this model with data from the Helsinki Stock Exchange, I was able to determine that a model ignoring trading intensity effects on price changes would underestimate the transitory effects of the trade process. This finding suggests that trade duration captures neglected elements of implicit trading costs that increase with market microstructure effects.     

Stock prices and the location of trade: Evidence from China-backed ADRs

This study examines whether the trading location affects equity returns of China-backed American Depository Receipts (ADRs) traded in the US. If International Financial Markets are integrated, stock prices should be affected only by their fundamentals; otherwise, stock prices may also be affected by their trading locations/investor sentiment. We find that China ADRs’ returns are affected more by the US market fluctuations than by Chinese market returns. We interpret the results as suggesting that International Financial Markets are at least partially segmented and country-specific investor sentiment affects stock prices.     

Economic policy uncertainty and stock market returns: New evidence

This paper investigates the predictive performance of the Chinese economic policy uncertainty (EPU) index constructed by Davis, Liu, and Sheng (2019) in forecasting the returns of China’s stock market. Using the univariate and bivariate predictive regression model, we confirm that the monthly EPU index can significantly and negatively impact the next month’s stock returns, and has better out-of-sample predictability than the existing EPU index and several macroeconomic variables. By comparing the forecasting effect of the EPU index before and during special events with sharply increased uncertainty, we find that the EPU’s forecasting power decline rapidly when an event of sharply increased uncertainty occurs. Finally, our conclusions are consistent through a batch of robustness tests.     

Funding liquidity risk and the low-volatility anomaly: Evidence from the Taiwan stock market

We investigate whether the funding liquidity risk to institutional investors influences the negative relation between expected returns and variance (the ‘‘Low-volatility anomaly’’). With the Taiwan stock market as a setting, we implement a multivariate Markov switching model and use the funding liquidity risk to model the time-varying transition probabilities of the regime-switching process to capture changes in the funding liquidity risk regime. Our evidence documents that the low-volatility anomaly is most pronounced when there is high funding liquidity risk. When there is low funding liquidity risk, however, the low-volatility anomaly has a significant reversal. These results imply that the increased funding liquidity risk due to financial shock transmitted from parent banks is associated with higher selling pressure on institutional investors’ high-volatility stocks, leading to the low-volatility anomaly.     

Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search

We examine the ability of online ticker searches (e.g. XOM for Exxon Mobil) to forecast abnormal stock returns and trading volumes. Specifically, we argue that online ticker searches serve as a valid proxy for investor sentiment — a set of beliefs about cash flows and investment risks that are not necessarily justified by the facts at hand — which is generally associated with less sophisticated, retail investors. Based on prior research on investor sentiment, we expect online search intensity to forecast stock returns and trading volume, and also expect that highly volatile stocks, which are more difficult to arbitrage, will be more sensitive to search intensity than less volatile stocks. In a sample of S&P 500 firms over the period 2005-2008, we find that, over a weekly horizon, online search intensity reliably predicts abnormal stock returns and trading volumes, and that the sensitivity of returns to search intensity is positively related to the difficulty of a stock being arbitraged. More broadly, our study highlights the potential of employing online search data for other forecasting applications.     

Interest rate and bank stock returns asymmetry: Evidence from U.S. banks

We use the multivariate extension of Exponential Generalized Autoregressive Conditionally Heteroscedastic (EGARCH) of Nelson, Econometrica, 59: 347–370, 1991 to test for spillover effects and examine the extent of asymmetries between short- and long-term interest rates and portfolios of money center, large, and medium-size banks in the U.S. Our results indicate the existence of price and volatility spillovers from short- and long-term interest rates to the three bank portfolios. We also provide evidence of response asymmetries for the portfolios of money center and large banks, suggesting that money center and large banks are more sensitive to negative than positive short- and long-term interest rate changes.

独立董事独立性、关联交易与公司价值——基于沪深两市上市公司的经验证据

要求独立董事对关联交易进行监管政策的出台,创造了基于关联交易研究独立董事监督职能的机会.基于此,在研究独立董事独立性对公司异常关联销售和公司价值的影响后发现,独立董事独立性的提高有助于抑制异常关联销售的发生.<关于在上市公司建立独立董事制度的指导意见>颁布以后,异常关联销售的比率降低,且更为"干净".独立董事独立性对异常关联销售的抑制不仅是政策作用的直接结果,而且确实有助于提高经济效益.     

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.     

Order Choices: An Intraday Analysis of the Taiwan Stock Exchange

This paper employs order-, trade-, and quote-level data to examine the determinants of order choices and the impacts of order choices on execution quality by various investor types in the Taiwan Stock Exchange. We find marketable-quote orders have a higher degree of price aggressiveness, larger order size, higher trade value, shorter duration, and higher fill rate than behind-the-quote orders. There exists a transient order serial correlation. Different types of investors have their own preferences in order choices, while market microstructure factors, such as transitory volatility, spread, market depth, and trading interval, significantly influence stock traders’ order choices. Findings show that marketable-quote orders tend to perform better in terms of order duration. Moreover, institutional investors spend less time on completing their trades than do individuals, particularly for foreign investors after controlling all other factors.     

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.     

Forecasting stock market returns: New technical indicators and two-step economic constraint method

The goal of our paper is to improve the accuracy of stock return forecasts by combining new technical indicators and a new two-step economic constraint forecasting model. Empirical results indicate the stock return forecasts generated by new technical indicators and new economic constraint forecasting model is statistically and economically significant both in-sample and out-of-sample prediction performance. In addition, the prediction performance of new technical indicators and new economic constraint forecasting model is robust for some extension and robustness analysis.     

Stock returns following large 1-month declines and jumps: Evidence of overoptimism in the German market

We analyze the short-run and long-run performance of the largest 100 German firms that experience monthly stock price changes of more than ±20% between 1990 and 2003. The results indicate that the return patterns following large price increases are consistent with the overreaction hypothesis, but those following price declines indicate underreaction. Thus, our results support an overoptimism hypothesis for the German market. Further, for price decreases we find strong evidence of a size effect, while for price increases, market-to-book-ratios seem to play a role in determining the magnitude of the reaction. No evidence is found supporting the uncertain information hypothesis.