Regulation fair disclosure and the market’s reaction to analyst investment recommendation changes

Previous research has shown that affiliated analysts (those who are working for investment banks that underwrite securities for companies) have an incentive to provide optimistically biased recommendations from selective information they are given by the firm. In an effort to halt such activities, as of October 2000, Regulation Fair Disclosure (RegFD) prohibits selective disclosure of material non-public information by public companies to privileged individuals (such as favored research analysts) and requires broad, non-exclusionary disclosure of such information. We examine firms’ stock price reactions to investment recommendation changes from affiliated analysts versus unaffiliated analysts from October 1998 to November 2002, around the passage of RegFD. Similar to previous research, we find that investors reacted more significantly to recommendation downgrades by affiliated analysts than to those by unaffiliated analysts prior to the passage of RegFD. However, we find that the difference in the reactions to recommendation changes is not present after the passage of RegFD. We also find that stock price reactions to analysts’ (both affiliated and unaffiliated) recommendation changes decreased significantly after the passage of RegFD. Thus, RegFD appears to have curbed the selective disclosure of information (particularly negative information) by firms to affiliated analysts. Further, the smaller reactions to recommendation changes by all analysts after RegFD may reflect a change in analysts’ behavior (irrespective of information that is available) or a response by corporate managers to withhold information rather than risking a violation of fair disclosure rules.     

Hidden liquidity: An analysis of order exposure strategies in electronic stock markets

Many stock exchanges choose to reduce market transparency by allowing traders to hide some or all of their order size. We study the costs and benefits of order exposure and test hypotheses regarding hidden order usage using a sample of Euronext-Paris stocks, where hidden orders represent 44% of the sample order volume. Our results support the hypothesis that hidden orders are associated with a decreased probability of full execution and increased average time to completion, and fail to support the alternate hypothesis that order exposure causes defensive traders to withdraw from the market. However, exposing rather than hiding order size increases average execution costs. We assess the extent to which non-displayed size is truly hidden and document that the presence and magnitude of hidden orders can be predicted to a significant, but imperfect, degree based on observable order attributes, firm characteristics, and market conditions. Overall, the results indicate that the option to hide order size is valuable, in particular, to patient traders.     

Option trading and individual investor performance

This paper examines the impact of option trading on individual investor performance. The results show that most investors incur substantial losses on their option investments, which are much larger than the losses from equity trading. We attribute the detrimental impact of option trading on investor performance to poor market timing that results from overreaction to past stock market returns. High trading costs further contribute to the poor returns on option investments. Gambling and entertainment appear to be the most important motivations for trading options while hedging motives only play a minor role. We also provide strong evidence of performance persistence among option traders.     

Sell-order liquidity and the cross-section of expected stock returns

We estimate buy- and sell-order illiquidity measures (lambdas) for a comprehensive sample of NYSE stocks. We show that sell-order liquidity is priced more strongly than buy-order liquidity in the cross-section of equity returns. Indeed, our analysis indicates that the liquidity premium in equities emanates predominantly from the sell-order side. We also find that the average difference between sell and buy lambdas is generally positive throughout our sample period. Both buy and sell lambdas are significantly positively correlated with measures of funding liquidity such as the TED spread as well option implied volatility.     

Seasonality in the cross-section of stock returns

This paper presents a new pattern in the cross-section of expected stock returns. Stocks tend to have relatively high (or low) returns every year in the same calendar month. We recognize the annual cross-sectional autocorrelation pattern documented in Jegadeesh [1990. Evidence of predictable behavior of security returns. Journal of Finance 45, 881–898] at lags of 12, 24, and 36 months as part of a general pattern that lasts up to 20 annual lags, superimposed on the general momentum/reversal patterns. This pattern explains an economically and statistically significant magnitude of the cross-sectional variation in average stock returns. Volume and volatility exhibit similar seasonal patterns but they do not explain the seasonality in returns. The pattern is independent of size, industry, earnings announcements, dividends, and fiscal year. The results are consistent with the existence of a persistent seasonal effect in stock returns.     

The effects of changes in index composition on stock prices and volume: Evidence from the Istanbul stock exchange

Previous evidence has shown that stocks included in (excluded from) an index exhibit significant positive (negative) abnormal returns on the announcement day, and that trading volume is affected by the event. This study examines the price and volume effects on stocks associated with the changes in the value-weighted index composition of two indices, of the ISE, where the index funds and index derivatives do not exist. Consistent with previous evidence, stocks included in (excluded from) the index tend to generate positive (negative) abnormal returns in ISE. Volume and volume volatility are also significantly affected. Our results seem to support the hypotheses of price-pressure, imperfect substitute and attention due to the lack of index-funds and derivatives market in Turkey.     

The relationship between asset growth and the cross-section of stock returns

There is a large body of literature examining the association between stock characteristics and the cross-section of stock returns in international markets. Recently, Cooper et al. (2008) reported a strong association between total asset growth and stock returns in the US. In this paper, we show that an asset-growth effect also exists in the Australian equity market. Of particular interest, it is present amongst the largest Australian stocks. Over the 1983-2007 period, an equally-weighted portfolio of low-growth Big stocks outperforms a portfolio of high-growth Big stocks by an average 1% per month, equating to nearly 13% per annum. At an individual stock level of analysis, the asset-growth effect remains even after controlling for other variables whose association with the cross-section of returns is well known. Finally, we explicitly test whether asset growth is a priced risk factor using the common two-stage cross-sectional regression methodology. We find no evidence to support a risk-based explanation, thereby lending credence to Cooper et al.’s (2008) suggestion that the asset-growth effect is attributable to mispricing.     

Comovement and investment banking networks

We test the hypothesis that investment banking networks affect stock prices and trading behavior. Consistent with the notion that investment banks serve as information hubs for segmented groups of investors, the stock prices of firms that use the same lead underwriter during their equity offerings tend to move together. We also find that when firms switch underwriters between their initial public offering (IPO) and a seasoned equity offering (SEO), they comove less with the stocks associated with the old bank and more with the stocks associated with the new bank. This change in comovement is greater for stocks completing their first SEO and for those experiencing large changes in institutional ownership.     

The information content of stock splits

We develop a new methodology that controls for both the timing of annual earnings news (Asquith et al., 1989) and the performance prior to split announcements (Barber and Lyon, 1996) to evaluate the information content of stock splits. In contrast to existing evidence, we find that stock splits in aggregate are followed by positive abnormal future earnings growth, suggesting that stock splits contain information about future, rather than past, operating performance. When we use changes in breadth of institutional ownership as a new metric of information content to corroborate our findings, we find that splits with the greatest increase in breadth experience positive post-split abnormal returns and positive abnormal earnings growth. Together, our results suggest that some splits contain positive information about future performance, and that sophisticated market participants such as institutional investors are able to select these splits.     

Venture capital reputation and investment performance

I propose a new measure of venture capital (VC) firm reputation and analyze its performance implications on private companies. Controlling for portfolio company quality and other VC-specific factors including experience, connectedness, syndication, industry competition, exit conditions, and investment environment, I find companies backed by more reputable VCs by initial public offering (IPO) capitalization share (based on cumulative market capitalization of IPOs backed by the VC), are more likely to exit successfully, access public markets faster, and have higher asset productivity at IPOs. Further tests suggest VCs’ IPO Capitalization share effectively captures both VC screening and monitoring expertise. My findings have financial implications for limited partners and entrepreneurs regarding their VC-sorting activities.     

Short-sale inflow and stock returns: Evidence from Japan

Using a 10-year panel of flow-based information on stock borrowings and constructing a flow-based measure for shorting demand, I examine the relation between shorting demand and subsequent stock price movements. I find that the least heavily shorted stocks tend to outperform the most heavily shorted stocks and that this outperformance persists up to three months. In addition, using proxies for information asymmetry derived from the market microstructure literature, I find that this outperformance is not confined to stocks with high information asymmetry. These empirical findings indicate that short sellers act not only as informed investors who gain negative news but also as skillful investors who detect stock price deviations from fundamental values.     

Weather and intraday patterns in stock returns and trading activity

We examine the relation between weather in New York City and intraday returns and trading patterns of NYSE stocks. While stock returns are found to be generally lower on cloudier days, cloud cover has a significant influence on stock returns only at the market open. There are significantly more seller-initiated trades when there is more cloud cover at the market open, which is consistent with the return results. Cloudy skies are associated with higher volatility and less market depth over the entire trading day. Finally, cloud cover is not significantly correlated with spread measures and turnover ratios. The findings overall suggest that weather has a significant influence on investors’ intraday trading behavior.     

Sentiment and stock returns: The SAD anomaly revisited

Widely-cited research by Kamstra et al. (2003) argues that changes in mood resulting from Seasonal Affective Disorder (SAD) drive changes in investor risk aversion and cause seasonal patterns in aggregate stock returns around the world. In this paper we reexamine the so-called SAD effect by replicating and extending Kamstra et al. (2003). We study the psychological underpinnings of the SAD hypothesis and show that the time-series predictions of the SAD model do not correspond to the seasonal patterns in depression found in the general population. We also investigate the cross-sectional prediction that SAD has a greater effect on stock markets in countries where SAD is more prevalent and find no relation between the prevalence of SAD and stock returns. Finally, we document that the SAD effect is mechanically driven by an overlapping dummy-variable specification and higher returns around the turn of the year.     

Convertible bond arbitrage,liquidity externalities,and stock prices

In the context of convertible bond issuance, we examine the impact of arbitrage activity on underlying equity markets. In particular, we use changes in equity short interest following convertible bond issuance to identify convertible bond arbitrage activity and analyze its impact on stock market liquidity and prices for the period 1993 to 2006. There is considerable evidence of arbitrage-induced short selling resulting from issuance. Moreover, we find strong evidence that this activity is systematically related to liquidity improvements in the stock. These results are robust to controlling for the potential endogeneity of arbitrage activity.     

Price informativeness and stock return synchronicity: Evidence from the pricing of seasoned equity offerings

We investigate what stock return synchronicity reflects in terms of price informativeness by examining its effect on the pricing of seasoned equity offerings (SEOs). Based on 5,087 SEOs from 1984 to 2007, we find a significantly negative relation between stock return synchronicity (estimated as the logit transformation of the R-squared statistic from a two-factor regression) and SEO discounts (the percentage differences between pre-offer day closing prices and offer prices). The negative relation is strongest when there is no analyst coverage, and it declines as analyst coverage increases. This shows that stock price is more informative when stock return synchronicity is higher and also that information asymmetry can be mitigated by analyst coverage. We further decompose stock return synchronicity into the market comovement and industry comovement components and find that both components are equally important in affecting SEO discounts.     

Short-term hedge fund performance

Hedge fund returns are often explained using linear factor models such as Fung and Hsieh (2004). However, since most hedge funds live only for 3 years, these linear regressions are subject to over-parameterization. I improve the out-of-sample accuracy of the linear factor model by combining cross-sectional and time series information for groups of hedge funds with similar investment strategies. The additional cross-sectional information allows more accurate estimates of risk exposures. I also propose a trading strategy based on this methodology for extracting substantially larger risk-adjusted returns.     

Value, valuation, and the long-run performance of merged firms

We propose an alternative measure of the long-term economic impact of mergers on firm value: post-acquisition changes in intrinsic value. Consistent with the literature on post-acquisition returns, the intrinsic value of merged firms decreases on average in the three years following deal completion, especially for firms with high initial intrinsic values. The loss of intrinsic value is driven primarily by decreases in expected earnings. Finally, using return decompositions, we find evidence that the poor post-acquisition stock returns documented in other studies can be attributed primarily to lost intrinsic value rather than changes in valuation levels.     

Weather, biorhythms, beliefs and stock returns—Some preliminary Irish evidence

We investigate whether there exists a relationship between eight proxy variables for investor mood (based on the weather, biorhythms, and beliefs) and daily Irish stock returns over the period 1988 to 2001. Our study is motivated by recent research that argues that people's decisions are influenced by their feelings, especially when the decision involves risk and uncertainty [e.g., Psychol. Bull. 127 (2001) 267-286]. We find that some of the variables proposed in the literature (rain and time changes around daylight savings) are minor but significant influences. We also find preliminary evidence for the relationship between mood proxy variables and equity returns being more pronounced in times of positive recent market performance. This finding is consistent with psychological research showing that people in a good mood (in this case, because of presumed gains in their investment portfolios) are more likely to allow irrelevant mood factors to influence their decision making [e.g., Mackie, D. M., & Worth, L. T. (1991). Feeling good, but not thinking straight: The impact of positive mood on persuasion. In: Forgas, J. P. (Ed.), Emotion and Social Judgments (pp. 201-219). Oxford: Pergamon Press].     

Do accurate earnings forecasts facilitate superior investment recommendations?

We find that analysts who issue more accurate earnings forecasts also issue more profitable stock recommendations. The average factor-adjusted return associated with the recommendations of analysts in the highest accuracy quintile exceeds the corresponding return for analysts in the lowest accuracy quintile by 1.27% per month. Our findings provide indirect empirical support for valuation models in the accounting and finance literatures (e.g., Ohlson, 1995) that emphasize the role of future earnings in predicting stock price movements. Our results also suggest that imperfectly efficient markets reward information gatherers, such as security analysts, for their costly activities in generating superior earnings forecasts.     

Modeling and measuring intraday overreaction of stock prices

We introduce a model for stock prices consisting of a fundamental price process and a news impact curve, which allows for either overreaction, underreaction, or correct response to changes of the fundamental value. We further develop statistics based on OHLC data, which separately measure upside and downside overreaction. The distribution of these statistics under the hypothesis of correct response and fundamental prices following Brownian motions is used to derive tests for upside and downside overreaction. We show that more realistic and frequently used fundamental price processes with correct response leave the distribution of the test statistics widely unaffected or lead to conservative tests. Empirical application to different stock markets provides strong evidence for intraday overreaction, particularly to bad news. The economic significance of the discrimination induced by the proposed statistics is further illustrated by analyzing the performance of a simple buy on bad news strategy.