The dynamics of individual and institutional trading on the Shanghai Stock Exchange

We investigate the daily dynamic relation between returns and institutional and individual trades in the emerging Chinese stock market. Consistent with the hypotheses of trend-chasing and attention-grabbing trading, we find that the response of individual trading to return shocks is much stronger than that of institutional trading, and individuals are net buyers following return shocks. Second, we find that past individual buys and sells have predictive power, whereas past institutional buys and sells have predictive power for market returns in longer horizons. However, both institutional and individual trading activities are more strongly related to past trades than past returns, and individual trading is also influenced by institutional trading. Moreover, we find that institutional trading in the largest quintile leads the trading in the smallest quintile, but no such lead–lag relation is found for individual trades. Finally, we find that the average cumulative abnormal trading volume of individuals is much larger than that of institutions around the firms' earnings announcement, suggesting that less-informed individual investors are more heavily influenced by firm-specific information disclosures and attention-grabbing events.     

Informed Options Trading Prior to Dividend Change Announcements

This paper investigates the information content of options trading prior to dividend change announcements. I find a positive (negative) relation between pre‐announcement abnormal implied volatility (IV) spread (abnormal IV skew) and cumulative abnormal stock returns around dividend change announcements. The predictive power of informed options trading is stronger for announcements of dividend reduction and when the options market is more liquid relative to the stock market and weaker when information has already been incorporated in the stock market. The predictability of informed options trading is robust to a placebo test and alternative measures of informed options trading. Overall results suggest that informed options trading predicts dividend change announcement returns.     

THE INFLUENCE OF ORGANIZED OPTIONS TRADING ON STOCK PRICE BEHAVIOR FOLLOWING LARGE ONE-DAY STOCK PRICE DECLINES

In this study I examine the effect of organized options trading on stock price behavior immediately following stock price declines of 10 percent or more. A matched-pair sample of National Market System option and nonoption firms are analyzed from June 1985 through December 1992. After controlling for the bid-ask bounce, firm size, share price, return standard deviation, and beta, I find that three-day cumulative abnormal returns for option firms are approximately 1.57 percent less than those for nonoption firms. Thus, options trading enhances stock market efficiency and/or liquidity. However, no profitable trading strategies are indicated.     

The 1994–1995 Mexican Currency Crisis and U.S. Bank Stock Returns

We investigate the impact of the 1994–1995 Mexican currency crisis on U.S. bank stock returns. We use a jump-diffusion model rather than a pure diffusion model to describe daily stock returns, because the public release of unexpected information generally is associated with discrete jumps in prices. Traditional event study models pool both announcement effects and trading effects and may lead to inefficient estimators. The jump-diffusion model can separate the impact of informed trading from unanticipated public announcements. Our results indicate that the variance of the jumps is large and increases with bank size and portion of loans to Mexico.     

Corporate governance and stock returns in Asia

Despite years of study, the impact of firm-level governance on stock returns is not clear, especially in non-U.S. markets. We investigate the returns of governance-based trading strategies in Asia, using bias-free return data and CLSA governance ratings. We argue that poor governance should be associated with higher market risk. We find that a portfolio of poorly governed firms has a higher market beta, higher expected return and higher realized return, compared with a good governance portfolio. In contrast to some earlier studies, we find no abnormal returns after adjusting for risk and country effects. Only investors who can predict in advance which firms will improve their governance can earn abnormal returns.     

A股与H股市场的差异与互动

本文选择了28家既在香港发行H股,又在内地发行A股的上市公司作为样本,研究分割市场之间的差异性和互动关系.通过对比相同上市公司在两个市场上的收益性和波动性差异,本文发现:两个市场在年报公告、中报公告、季报公告以及预告事件下获得的超额收益具有显著差异,而在分红通过公告事件下未产生显著差异;同时,除了分红通过公告(旧信息)事件未引起市场产生明显的波动以外,其余事件都对两个市场产生了显著的波动性影响.另外,我们也发现"H股引起A股变化"的可能性要大于"A股引起H股变化"的可能性.     

Impact of hurricanes on US insurance stocks

This paper analyzes the impact of hurricanes on insurance stock returns in the United States. The objective is to assess the reaction of insurance stock prices caused by hurricanes using an extensive data sample consisting of the costliest hurricanes since 2004. We aim to understand the insurance stock price reactions and provide possible explanations for the observed results. The main outcome is a negative abnormal return for all examined time windows. Analyses of impact factors show that high-category hurricanes have more negative abnormal returns in comparison to low-category hurricanes. The latter category is even positively correlated with the cumulative abnormal return. The regression model indicates a statistically significant negative correlation between the cumulative abnormal return and the damage caused by the hurricane.     

The Effect of Data Breaches on Shareholder Wealth

Many companies face the risk of a data breach exposing stored personal information of customers and employees. The frequency of such incidents has been increasing over time and can result in significant costs for the affected firm. This article examines the stock market's assessment of the cost of data breaches at publicly traded companies in which personal information such as customer and/or employee data are exposed. Using event study methodology on a sample of 77 events between the beginning of 2004 and the end of 2006, we find that the overall effect of a data breach on shareholder wealth is negative and statistically significant. Based on a cross-sectional analysis of the cumulative abnormal returns, we find a negative association between market reaction and firms that are less forthcoming about the details of the breach. We also find that firms with higher market-to-book ratios experience greater negative abnormal returns associated with a data breach. Further, we find that firm size and subsidiary status mitigate the negative effect of a data breach on the firm's stock price and that the negative market reaction to a data breach is more significant in the most recent time periods of the sample.     

Insider trading and the long-run performance of new security issues

This paper uses insider trading around new security issues to provide evidence of managerial timing ability. I show that insider sales increase and purchases decrease prior to issues of information-sensitive securities (convertible debt and equity) by industrial firms. I then examine the relation between insider trading and subsequent stock returns. Although not all equity issues are motivated by overvaluation, those where managers sell prior to the issue are more likely to be. I find that industrial firms with abnormal insider selling underperform in the long run, whereas those with abnormal buying do not. There is no evidence of a relation between abnormal selling and future performance for utility offerings, however. Overall, the evidence is consistent with poor long-term performance being due to overvaluation.     

Disruption and stock markets: Evidence from Hong Kong

We examine the impact of disruption on stock markets using the 2019 Hong Kong protests for identification. We find that greater protest intensity corresponds to higher bid–ask spreads, lower trading volume, and greater return volatility for dual-listed Chinese firms’ Hong Kong (H) shares but not their home (A) shares. We also document negative abnormal returns only for these firms’ H-shares around major protest events, which shortly after exhibit reversal. Next, we validate our main findings by documenting similar results using Hong Kong-listed firms only. Overall, we provide new evidence highlighting the impact of protest-induced disruption on financial markets.     

The bivariate GARCH approach to investigating the relation between stock returns,trading volume,and return volatility

We use a bivariate GJR-GARCH model to investigate simultaneously the contemporaneous and causal relations between trading volume and stock returns and the causal relation between trading volume and return volatility in a one-step estimation procedure, which leads to the more efficient estimates and is more consistent with finance theory. We apply our approach to ten Asian stock markets: Hong Kong, Japan, Korea, Singapore, Taiwan, China, Indonesia, Malaysia, the Philippines, and Thailand. Our major findings are as follows. First, the contemporaneous relation between stock returns and trading volume and the causal relation from stock returns and trading volume are significant and robust across all sample stock markets. Second, there is a positive bi-directional causality between stock returns and trading volume in Taiwan and China and that between trading volume and return volatility in Japan, Korea, Singapore, and Taiwan. Third, there exists a positive contemporaneous relation between trading volume and return volatility in Hong Kong, Korea, Singapore, China, Indonesia, and Thailand, but a negative one in Japan and Taiwan. Fourth, we find a significant asymmetric effect on return and volume volatilities in all sample countries and in Korea and Thailand, respectively.     

Is the Community Reinvestment Act in Need of Further Reform? Evidence from Equity Markets during the 1995 Reform Process

In May 1995 the Federal Banking Agencies adopted major reforms to the implementation of the Community Reinvestment Act (CRA) to make the examination process more objective and performance-based, promote consistency, and reduce regulatory burden. This study presents tests of excess stock returns around key events in the reform process and examines whether the patterns of returns were affected by financial institution type and size. While we find that portfolios of banks and thrifts recorded statistically significant excess returns for certain events, the cumulative response was mostly statistically insignificant. A policy implication of our findings is that the potential for further improvement in the administration of CRA requirements still existed following the 1995 reform efforts.     

The ex-dividend day stock price anomaly: evidence from the Greek stock market

This paper examines the ex-dividend stock price and trading volume behavior in the Greek stock market for the period 2000–2004. We use both standard event-study methodology and cross-sectional regression analysis in assessing the ex-dividend stock price anomaly. We find that stock prices drop less than the dividend amount. By examining abnormal returns as well as abnormal trading volume around the ex-dividend day, we find strong evidence of short-term trading, which is consistent with the presence of dividend-capturing activities around the ex-dividend day. The results from the cross-sectional regression analysis confirm that the short-term trading hypothesis explains the ex-dividend day stock price anomaly in Greece.

Short selling around dividend announcements and ex-dividend days

We examine short selling around dividend announcements and ex-dividend dates. Contrary to our initial expectation, we do not find abnormally high short-selling activity prior to announced dividend decreases, which runs counter to the argument that short sellers have the ability to acquire private information before its public dissemination. However, we find that the common negative relation between current short selling and future daily returns prior to unfavorable dividend announcements is similar to the negative relation during non-event times, suggesting that dividend announcements do not provide unusual trading opportunities for informed traders (Gonedes, 1978, and Benartzi et al., 1997). Around ex-dividend dates, we do find abnormal short selling, which may be explained by the return pattern around ex-dividend days documented by Lakonishok and Vermaelen (1986), who suggest that demand for a particular stock by dividend capture traders drives stock prices above their fundamental value thus providing a profitable trading opportunity for short sellers. Consistent with this conjecture, we find that both the level of short selling and the return predictability of short selling is markedly higher on and after the ex-dividend day than during non-event times.     

Causal and Dynamic Relationships among Stock Returns,Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia

This paper examines the causal and dynamic relationships among stock returns, return volatility and trading volume for five emerging markets in South-East Asia—Indonesia, Malaysia, Philippines, Singapore and Thailand. We find strong evidence of asymmetry in the relationship between the stock returns and trading volume; returns are important in predicting their future dynamics as well as those of the trading volume, but trading volume has a very limited impact on the future dynamics of stock returns. However, the trading volume of some markets seems to contain information that is useful in predicting future dynamics of return volatility.     

Volatility spreads and earnings announcement returns

Prior research documents that volatility spreads predict stock returns. If the trading activity of informed investors is an important driver of volatility spreads, then the predictability of stock returns should be more pronounced during major information events. This paper investigates whether the predictability of equity returns by volatility spreads is stronger during earnings announcements. Volatility spreads are measured by the implied volatility differences between pairs of strike price and expiration date matched put and call options and capture price pressures in the option market. During a two-day earnings announcement window, the abnormal returns to the quintile that includes stocks with relatively expensive call options is more than 1.5% greater than the abnormal returns to the quintile that includes stocks with relatively expensive put options. This result is robust after measuring volatility spreads in alternative ways and controlling for firm characteristics and lagged equity returns. The degree of announcement return predictability is stronger when volatility spreads are measured using more liquid options, the information environment is more asymmetric, and stock liquidity is low.     

The information content of stock split announcements: Do options matter?

We provide a new test of the informational efficiency of trading in stock options in the context of stock split announcements. These announcements tend to be associated with positive abnormal returns. Our traditional event study results show abnormal returns that are significantly lower for optioned than non-optioned stocks, whether traded on the NYSE, Amex, or Nasdaq. After controlling for market returns, capitalization, book-to-market ratio, and trading volume, we find that the abnormal returns are significantly lower for NYSE/Amex optioned than non-optioned stocks. Although the results for Nasdaq stocks are not as clear, the overall effects tend to be lower after optioning. These findings are consistent with the hypothesis that the prices of optioned stocks embody more information, diminishing the impact of the stock split announcement. They provide new evidence of the beneficial effects of options on their underlying stocks.     

Market reactions to a cross-border carbon policy: Evidence from listed Chinese companies

The effects of cross-border carbon policy have attracted increasing attention worldwide. We investigate the reaction of the Chinese stock market to the announcements of 12 legislative events associated with the European Union Carbon Border Adjustment Mechanism (EU CBAM). Our results, based on all industrial companies listed on China's Shenzhen or Shanghai Stock Exchanges, show that Chinese companies that export their products to the EU experience a more negative cumulative abnormal return around EU CBAM events than their counterparts (non-export companies and non-EU export companies). A cross-sectional analysis reveals that negative stock market reactions to the legislative events are greater when companies have greater carbon emissions intensity. Our further analyses show that being listed in both A-share and H-share markets, participating in a carbon emissions trading scheme, and having intensive cross-border collaboration mitigate the adverse market reactions. Our results show that the Chinese market is sensitive to legislative announcements associated with this cross-border carbon policy.     

Informed trading in the options market surrounding data breaches

This study investigated whether there is informed trading that takes advantage of data breach events. By analyzing the transactions in the options market, we conjectured that there are two distinct informed trading patterns: one that begins approximately 4 months prior and another that begins 8–12 months before the corporate data breach announcements. This is supported by evidence of higher trading volume and open interest for put options, a higher put-to-call volume ratio, a higher put-to-call open interest ratio, and lower spreads prior to such announcements. We also examined the stock reactions following data breach announcements and found significantly negative cumulative abnormal returns of −0.35% within one day. Moreover, a cross-sectional analysis showed that put-call ratios have predictive power for stock returns. Finally, additional evidence, such as trading strategies in the stock and options markets, is provided.     

A transactions data analysis of nonsynchronous trading

Weekly returns of stock portfolios exhibit substantial autocorrelation.Analytical studies suggest that nonsynchronous trading is capableof explaining from 5% to 65% of the autocorrelation. The varyingimportance of nonsynchronous trading in these studies arisesprimarily from differing assumptions regarding nontrading periodsof stocks. We simulate the effects of nonsynchronous tradingby sampling stock returns from a return generating process usingtransactions data to obtain the precise time of each stock'slast trade. We find that simulated weekly portfolio returnsexhibit autocorrelations that are roughly 25% that of theirobserved (CRSP) weekly returns.