ROBUSTNESS OF THE HEADQUARTERS‐CITY EFFECT ON STOCK RETURNS

Recent studies report that U.S. firms headquartered near each other experience positive comovement in their stock returns, a finding suggestive of local biases in equity trading activity. We investigate the robustness of these findings and find that including additional pricing factors in models for monthly stock returns materially reduces the magnitude of the headquarters‐city effect in stock returns. Additionally, we find that an implicit null hypothesis of zero local return comovement is inappropriate as there is positive comovement between a stock's return and returns on portfolios of stocks from nonheadquarters cities, on average. Nevertheless, results benchmarked against estimates based on resampling methods indicate a significant and robust headquarters‐city effect in stock returns.     

EXPECTED VOLATILITY,UNEXPECTED VOLATILITY,AND THE CROSS‐SECTION OF STOCK RETURNS

The existing literature finds conflicting results on the cross‐sectional relation between expected returns and idiosyncratic volatility. We contend that at the firm level, the sample correlation between unexpected returns and expected idiosyncratic volatility can cloud the true relation between the expected return and expected idiosyncratic volatility. We show strong evidence that unexpected idiosyncratic volatility is positively related to unexpected returns. Using unexpected idiosyncratic volatility to control for unexpected returns, we find expected idiosyncratic volatility to be significantly and positively related to expected returns. This result holds after controlling for various firm characteristics, and it is robust across different sample periods.     

INDUSTRY EFFECTS OF ANALYST STOCK REVISIONS

We examine the industry valuation effects of analyst stock revisions and identify the variables that influence these effects. Our results show that industry rivals experience significant abnormal returns in response to revision announcements. Although the mean stock price response suggests contagion effects, there is also evidence of significant competitive effects. The valuation effects are influenced by the magnitude of the rated firm's announcement return, along with analyst‐specific and industry‐specific characteristics. However, the sensitivity of the valuation effects to these characteristics is conditioned on whether the industry effects are contagious or competitive.     

THE WEALTH EFFECTS OF TRACKING STOCK RESTRUCTURINGS

We provide a comprehensive examination of the post‐issue wealth effects of 29 completed tracking stock restructurings. We document that for the parent stock and for the combined firm, tracking stock restructurings lead to insignificant long‐term excess returns. However, we find that shareholders of tracking stocks realize significant post‐issue wealth losses. Unlike spin‐offs and carve‐outs, announcements of tracking stock restructurings are preceded by negative one‐year excess returns, and unlike the positive post‐issue long‐term excess returns to spin‐off stocks and the insignificant long‐term excess returns to carve‐out stocks, tracking stocks experience negative long‐term excess returns.     

MACROECONOMIC NEWS,STOCK TURNOVER,AND VOLATILITY CLUSTERING IN DAILY STOCK RETURNS

We study volatility clustering in daily stock returns at both the index and firm levels from 1985 to 2000. We find that the relation between today's index return shock and the next period's volatility decreases when important macroeconomic news is released today and increases with the shock in today's stock market turnover. Collectively, our results suggest that volatility clustering tends to be stronger when there is more uncertainty and disperse beliefs about the market's information signal. Our findings also contribute to a better understanding of the joint dynamics of stock returns and trading volume.     

PRESIDENTIAL ELECTION UNCERTAINTY AND COMMON STOCK RETURNS IN THE UNITED STATES

There is substantial evidence on the influence of political outcomes on the business cycle and stock market. We further hypothesize that uncertainty about the outcome of a U.S. presidential election should be reflected in pre‐election common stock returns. Prior research pools returns based on the party of the winning candidate, assuming that the outcome of the election is known a priori. We use candidate preference (i.e., polling) data to construct a measure of election uncertainty. We find that if the election does not have a candidate with a dominant lead, stock market volatility (risk) and average returns rise.     

DAYLIGHT AND INVESTOR SENTIMENT: A SECOND LOOK AT TWO STOCK MARKET BEHAVIORAL ANOMALIES

Kamstra, Kramer, and Levi (2000, 2003) describe two stock market behavioral anomalies associated with changes in investor sentiment caused by daylight saving time (DST) changes and seasonal affective disorder (SAD). According to the hypothesized effects, DST changes and SAD affect asset prices by changing investors’ risk aversion. Although changes in the timing or amount of daylight are correlated with unusual stock market returns, I present evidence they do not cause those unusual returns. Instead, seasonal patterns in market‐related information during the sample period are the likely cause of the correlation between stock market returns and DST changes or SAD.     

TRADING‐VOLUME SHOCKS AND STOCK RETURNS: AN EMPIRICAL ANALYSIS

We examine high‐volume premiums based on weekly risk‐adjusted returns. Significant average weekly abnormal high‐volume premiums up to 0.50% per week are documented for 1962–2005. Most premiums are generated in the first two weeks and monotonically decline as holding periods are extended. Evidence of reversal is found as the holding periods are extended. Premiums depend on realized turnover in the holding period. The last finding supports the theories of Miller and Merton. Finally, we test whether premiums are compensation for taking additional risk. Negative skewness, idiosyncratic risk, and liquidity risk do not explain the high‐volume premiums.     

INTANGIBLE ASSETS,BOOK‐TO‐MARKET,AND COMMON STOCK RETURNS

I examine two anomalies where the Fama and French three‐factor model fails to adequately explain monthly industry and index returns. Both anomalies are consistent with a bad model problem where the book‐to‐market factor introduces a negative bias in the intercepts. I propose the intangibles model as an alternative where the three‐factor model is known to have difficulty. This alternative model, which replaces the book‐to‐market factor with zero investment portfolio returns based on prior investments in intangible assets, is well specified in random samples, has comparable power, and fully explains both anomalies.     

HEDGE FUND SURVIVAL: NON-NORMAL RETURNS, CAPITAL OUTFLOWS, AND LIQUIDITY

We analyze the factors that influence the survival probability of hedge funds reported in the Lipper TASS database. Particular emphasis is placed on (1) non-normality of returns and assets under management (AUM), (2) short-term capital outflows, and (3) liquidity constraints associated with a hedge fund's cancellation policy. Estimation results using the Cox proportional hazards model and the panel logit model show that (1) funds with lower skewness in returns and AUM, (2) funds experiencing instantaneous rapid capital outflows, and (3) funds with a shorter redemption notice period and a higher redemption frequency have significantly higher liquidation probabilities, among others.     

MONETARY POLICY INDICATORS AS PREDICTORS OF STOCK RETURNS

We explore the linkage between stock return predictability and the monetary sector by examining alternative proxies for monetary policy. Using two complementary methods, we document that failure to condition on the Fed's broad policy stance causes a substantial understatement in the ability of monetary policy measures to predict returns. Industry analyses suggest that cross‐industry return differences are also linked to changes in monetary conditions, as monetary policy has the strongest (weakest) relation with returns for cyclical (defensive) industries. Overall, we find that monetary conditions have a prominent and systematic relation with future stock returns, even in the presence of business conditions.     

MODELS OF STOCK MARKET PREDICTABILITY

I briefly review the success of past studies purporting to explain equity valuations and predict future equity returns. The Campbell‐Shiller mean reversion models are contrasted with an expanded version of the so‐called Federal Reserve model. At least from 1970 to 2003, Federal Reserve–type models did somewhat better at predicting long‐horizon returns than did a mean reversion model based on dividend yields and price‐earnings multiples. However, timing investment strategies based on any of these prediction models do no better than a buy‐and‐hold strategy. Although some predictability of returns exists, there is no evidence of any systematic inefficiency that would enable investors to earn excess returns.     

THE INTERACTION OF MONETARY POLICY AND STOCK RETURNS

The “irrational exuberance” of the stock market in the late 1990s led to a discussion of the appropriate policy response by monetary authorities. Any response would be contingent on the stock market reaction to policy shocks. In this study, I employ a structural vector autoregression to estimate the response of the stock market returns to innovations in the federal funds rate. The role of the stock market in the Federal Reserve policy rule can also be examined empirically.     

INSIDER TRADING EFFECTS ON STOCK RETURNS AROUND OPEN-MARKET STOCK REPURCHASE ANNOUNCEMENTS: AN EMPIRICAL STUDY

In this paper we empirically examine the effects of insider trading activities, the percentage of common shares outstanding authorized for repurchase, and management ownership on stock returns around open-market stock repurchase announcements. The study is conducted on a sample of 204 firms that announced open-market stock repurchases between 1982 and 1990. Results show that insider trading activities during the month that immediately precedes the announcement have a significant effect. While stockholders of firms with insider net selling activities earn positive excess returns, those of firms with insider net buying activities earn larger and more significant excess returns. Insider trading activities during more distant periods do not show any effects on stock returns. Results also indicate that management ownership has a significant positive effect on stock returns, and this effect is more positive when the percentage of common shares outstanding authorized for repurchase is large.     

STATISTICAL PROPERTIES OF DAILY RETURNS: EVIDENCE FROM EUROPEAN STOCK MARKETS

This paper attempts to model the distributional properties of daily stock returns on several European Stock Exchanges. The empirical findings reveal the presence of non-linear dependencies that cannot be captured by the random walk model. A model of return-generating process that fit the data empirically is the Generalized Autoregressive Conditional Heteroskedastic GARCH (1,1) process with a conditional student- t distribution.     

THE EFFECT OF RATE CASES ON PUBLIC UTILITY STOCK RETURNS

Public utility rate cases are economic events because they affect the intrinsic value of the utility. This paper examines the effect of rate cases on public utility stock returns. “Average” rate cases do not appear to affect the utilities' value, but “above-average” and “below-average” settlements cause positive or negative adjustments, respectively.