Empirical evidence on the effects of delisting from the National Market System

This study analyzes empirical evidence related to changes in market value and liquidity characteristics of stocks, which are delisted from the National Market System (NMS) due to an elevation of NMS listing standards. Our results are thus relatively independent of the financial conditions of the firms prior to delisting. We document significant increase in bid-ask spreads and decrease in trading volume after delisting. A significant negative stock price reaction around the delisting announcement period is also observed. Both sets of findings suggest that delisting from NMS increases a firm’s cost of capital by adversely affecting the liquidity of its stock. (JEL: G14)     

<Emphasis Type="BoldItalic">Mad Money</Emphasis> stock recommendations: market reaction and performance

We examine the stock recommendations of Jim Cramer televised on CNBC’s Mad Money, and document significant market reactions (i.e., announcement returns and volume) to Cramer’s recommendations, particularly for small capitalization stocks. The following findings indicate that the announcement returns are primarily due to price pressure from uninformed trading as opposed to the recommendations providing new value related information: announcement returns reverse following buy recommendations; bid-ask spreads temporarily decline; and there is no evidence of positive longer-term abnormal returns. One implication, when considered in combination with other works, is that investors should be cautious in following stock recommendations announced in the mass-media.     

Technology transactions,announcement effect,and reversal: Dissecting an anomaly

We examine the short term stock price performance of firms that acquire or sell technology rights. We find significant positive announcement-period abnormal returns to the acquirers and sellers. However, the price increases reverse during the subsequent twenty trading days. These quick fortune reversals cannot be attributed to methodology; they prevail in the late 1970s through the 2000s, in bear and bull stock markets, and in both high and low technology industries. Upon splitting the sample into two subsamples comprised each of stocks with either pre-announcement price run-up or decline; we find that the abnormal return reversal is confined to the latter subsample. Stocks that witness price run-up prior to the announcement do not reverse to original prices but lose the momentum right after the announcement-period. We believe this is caused by the combination effect of the momentum prior to-and the impact of the announcement.     

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.     

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.     

Asymmetric positive feedback trading and stock pricing in China

Defining asymmetry of feedback trading (AFC) as the difference between buying-winners and selling-losers intensities, the paper investigates if AFC impacts stock pricing. We show that buying stocks with low AFC and selling stocks with high AFC makes significant positive returns after controlling traditional pricing factors. The return mainly comes from the long leg and cannot be simply attributed to either mispricing, liquidity, or risk premium. Further study shows that the negative impact of AFC on future stock return is reinforced with an increase in past returns, maximum daily return, relative valuation level, asset growth rate, or operating profit rate. As AFC represents retail trading intensity, the results imply that the inactiveness of retail investors may make price relative underreaction to good news and thus lead to positive expected stock return.     

Recovery of hidden information from stock price data: A semiparametric approach

This paper proposes a new methodology for measuring announcement effect on stock returns. This methodology requires no prior specification of the event day, event, and estimation windows, and therefore is a generalization of the traditional event study methodology. The dummy variable, which indicates whether the event occurred or not, is treated as missing. The unconditional probability of abnormal return is estimated by the EM algorithm. The probability that announcement is effective and the average announcement effect are estimated by the Gibbs sampler. How the method works is demonstrated on simulated data and IBM stock price returns.     

Insider trading around open-market share repurchases

We examine insider trading around open-market share repurchases and find that insiders trade passively in 3 months prior to repurchase announcements and in up to 12 months following the announcements. Furthermore, both pre-announcement and post-announcement abnormal insider trading is unrelated to short-term announcement returns but correlated with long-term post-announcement returns. Our results indicate that corporate insiders trade passively around repurchase announcements in accordance with their perceived undervaluation to exploit the long-run abnormal stock returns related to the events.     

Day trading and stock price volatility

When an investor buys and sells the same stock on the same day, he is said to have made a day trade. Using the trading records of Finnish traders, this paper examines whether day trading is related to volatility of stock prices. I find a strong positive time-series relation between the number of day trades by individual investors and intraday volatility among heavily day traded stocks. This effect is robust after controlling for a previously documented volume–volatility relation. The result suggests that the joint hypothesis of price pressure and volatility induced day trading dominates the liquidity effects of day trading.     

Investor heterogeneity and commonality in stock return and liquidity

This paper examines how the trading activities of different investor types are related to common return and liquidity movements. Using a unique dataset, we decompose the daily return and liquidity of individual stocks into price impact components attributable to trades of institutional investors and retail investors. We then investigate the variation of each component relative to market-wide return and liquidity. We show that institutional trades contribute more than retail trades to liquidity commonality. However, retail trades contribute more strongly to return co-movement. The incremental contribution of retail trades to the co-variability of stock returns is more pronounced for firms with high information asymmetry.     

Evolution of price effects after one-day abnormal returns in the US stock market

This paper provides a comprehensive analysis of price effects after one-day abnormal returns and their evolution in the US stock market, using Dow Jones Index over the period 1890–2018. We utilise several statistical tests and econometric methods (the modified cumulative abnormal return approach, regression analysis with dummy variables, R/S analysis (Hurst, 1951), and the trading simulation approach). The results suggest that a strong momentum effect between 1940 and 1980 after a day of positive abnormal returns was present in the US stock market, and it was exploitable for profit. However, after the 1980s this has since disappeared. Overall, price effects after one-day abnormal returns during the analysed period tend to be unstable in terms of their strength and direction (momentum or contrarian effect). Nowadays, the evidence for the price effects after one-day abnormal returns in the US stock market is weak. Our results, therefore, are consistent with the Adaptive Market Hypothesis (Lo, 2004).     

最小报价单位、价格水平与流动性——基于上海股市的实证研究

最小报价单位是证券市场交易机制设计的重要组成部分。与许多市场不同 ,我国证券市场采取单一的最小报价单位。本文利用上海股市的高频日内数据 ,对中国证券市场中最小报价单位对不同价格水平股票的流动性的影响进行了实证研究 ,研究结果表明适度提高高价股票的最小报价单位可能通过提高报价深度而促进这类股票的流动性。     

Price and volume effects associated with changes in the Dow Jones Averages

This study compares the price and volume responses associated with changes in the roster of the Dow Jones Industrial and Transportation Averages with previous research investigating changes in the rosters of the Standard and Poor's stock indices. Event period abnormal returns and daily trading volume for firms added to the Averages are consistent with Merton's (1987) attention hypothesis. Firms added to the roster of the Industrial Average experience positive significant abnormal returns and significantly greater trading volume on the event date. Firms added to the Transportation Average, an event which receives much less media attention, experience neither event period abnormal returns nor increased trading volume. Firms dropped from both Averages experience neither event period abnormal returns nor increased trading volume.     

流动性的股票特征——基于中国证券市场的经验数据分析

在对流动性内涵认识的基础上,本文提出股票流动性的本质是股票与现金之间相互转化的能力,满足的是投资者正常的交易需求。从流动性的公司规模和成交金额特征、流动性与股价的关系和流动性水平的稳定性三个方面理论探讨和实证检验了流动性的股票特征,研究结果表明：（1）公司规模一定,可实现的成交金额越多,流动性越好;成交金额一定,公司规模越大,流动性越好;（2）股票的价格与股票流动性之间具有显著的正相关关系;（3）流动性水平在一定时期内具有稳定性。     

Disclosure quality,price efficiency,and expected returns

Using a composite disclosure quality measure, we examine the effect of disclosure quality on price delay and the effect of price delay determined by disclosure quality on expected returns in the Taiwan stock market. We find that higher disclosure quality can reduce stock price delay through more investor attention and higher stock liquidity after we control for accounting quality variables and consider the endogeneity issue. Furthermore, we show that disclosure quality reduces expected stock returns through the price efficiency channel associated with both investor attention and stock liquidity. Our results indicate that increasing a firm’s standardized information rating by one standard deviation can reduce its expected stock return by 0.63% annually. Taken together, our evidence suggests that regulatory activities enforced to improve public firms’ disclosure quality in the Taiwan stock market can make the stock market more efficient and therefore lower investors’ required return for stocks.     

Cross-Country Listing and Trading Volume: Evidence from the Toronto and Vancouver Stock Exchanges

This study investigates the effects of listing on the U.S. exchanges on trading volume for stocks listed on the two Canadian stock exchanges: the Toronto Stock Exchange (TSE) and the Vancouver Stock Exchange (VSE). The results show substantial differences between the two samples. When a TSE security is cross-listed, both trading volume and stock turnover, the number of shares traded as a percentage of number outstanding, almost double their pre-listing levels. In contrast, when a VSE stock is cross-listed, there is only a slight increase in trading volume and a sharp decline in turnover. The TSE is also able to maintain its pre-listing levels of trading volume in cross-listed securities, whereas the VSE loses about half the trading volume in these stocks to the U.S. exchanges. Even after controlling for the firm-specific factors, the Canadian exchange-specific factors remain the dominant factors in explaining the cross-sectional variation in liquidity effects. Neither the differences in trading costs nor in listing and disclosure requirements between the two exchanges explain these results.     

Dissemination of Accruals Information,Role of Semi‐Annual Reporting,and Analysts' Earnings Forecasts: Evidence from Japan

Our study investigates the effects of dissemination of accounting accruals information on stock prices using Japanese annual reports as our sample. We conduct month‐by‐month detailed analyses of price adjustment behavior with a particular focus on revisions of analysts' earnings forecasts and changes in trading volume around the period of upcoming semi‐annual reports. We find that analysts' forecasts are often revised around this time, and analysts use this as auxiliary information. In addition, an accompanying re‐adjustment of abnormal returns and an increase in trading volume are observed. Our findings demonstrate that informational uncertainty initially triggered by the announcement of annual reports decreases as semi‐annual reports are disclosed and analysts change their earnings forecasts, and confirms the importance of semi‐annual reporting.     

Stock price effect of high-yield debt issues

This paper investigates the common stock price reaction at the announcement of the issuance of high-yield straight debt. The two-day announcement period abnormal returns are not different from zero for the 164 bond issues in the sample. No difference is found between announcement period abnormal returns of firms with bonds that default and firms with bonds that do not default. Results from statistical tests indicate that the announcement period abnormal returns are not explained by issuance year, bond-rate class, underwriter, issuance size, takeover activity or prior high-yield debt issuance experience. The findings are not consistent with the models by Miller and Rock (1985), Jensen (1986), Myers and Majluf (1984) and Krasker (1986). However, results indicate that existing stockholders are not harmed or helped by the issuance of the high-yield straight debt.     

中国股市日内流动性效应分析——基于高频数据的流动性度量、特征及其影响因素

本文归纳了流动性刻画维度和度量指标,选取不同规模和价位股票的高频数据作样本,吸收Amivest流动性比率计算原理,设定价格对交易量变动的敏感性为流动性度量指标,分析股票日内交易特征和流动性影响因素。结果发现：日内模式价格变动呈仰卧“F”形,交易量呈仰卧“E”形,而非传统的“L”或“U”型;日内交易模式、股票规模和股票价位均影响着股票流动性;日内模式异动时间内,股票流动性差;大规模股票流动性强;高价股流动性差。     

Index futures trading and stock price volatility: Evidence from Denmark and France

This study uses an EGARCH methodology to investigate the impact of index futures trading on the price volatility of two European stock markets. The results show that index futures trading has changed the distribution of stock returns in Denmark and France, however, it has not increased stock price volatility. There is evidence that futures trading has dampened stock price fluctuations in France. The results further show that stocks in Denmark and France exhibit strong volatility persistence and asymmetry, especially during the post-futures period.