STOCK MARKET REACTION TO GOOD AND BAD INFLATION NEWS

This article shows that differentiating between good and bad inflation news is important to understanding how inflation affects stock market returns. Summing positive and negative inflation shocks as in previous studies tends to wash out or mute the effects of inflation news on stock returns. More specifically, we find that, depending on the economic state, positive and negative inflation shocks can produce a variety of stock market reactions. We conclude that the effect of inflation on stock returns is conditional on whether investors perceive inflation shocks as good or bad news in different economic states.     

STATE DEPENDENCY OF BANK STOCK REACTION TO FEDERAL FUNDS RATE TARGET CHANGES

We investigate the effects of changes in the federal funds target rate on bank stock returns through an event‐study analysis. We examine the state dependency of such effects and focus on the surprise elements of policy changes derived from the federal funds futures market. Although we confirm an inverse relation between bank stock returns and changes in the federal funds target rate previously supported in the literature, we find that bank stock returns only respond to surprise or unexpected changes in the federal funds target rate. We also find that such responses are conditional on the context in which policy changes take place.     

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.     

SENSITIVITY OF INVESTOR REACTION TO MARKET DIRECTION AND VOLATILITY: DIVIDEND CHANGE ANNOUNCEMENTS

We examine whether investor reactions are sensitive to the recent direction or volatility of underlying market movements. We find that dividend change announcements elicit a greater change in stock price when the nature of the news (good or bad) goes against the grain of the recent market direction during volatile times. For example, announcements to lower dividends elicit a significantly greater decrease in stock price when market returns have been up and more volatile. Similarly, announcements to raise dividends tends to elicit a greater increase in stock price when market returns have been normal or down and more volatile, although this latter tendency lacks statistical significance. We suggest an explanation for these results that combines the implications of a dynamic rational expectations equilibrium model with behavioral considerations that link the responsiveness of investors to market direction and volatility.     

MACROECONOMIC NEWS AND STOCK MARKET CALENDAR AND WEATHER ANOMALIES

An analysis of six stock market calendar and weather anomalies from 1980 to 2003 shows that (1) returns on trading days in which macroeconomic announcements were made generate the anomalies and (2) five of the six anomalies are not present at all on the trading days in which such announcements were not made (more than 60% of the sample). The results suggest that the market response to macroeconomic news, not psychological or institutional factors, is the main source of calendar and weather anomalies.     

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.     

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.     

GLAMOUR VERSUS VALUE: TRADING BEHAVIOR OF INSTITUTIONS AND INDIVIDUAL INVESTORS

We design a new metric to measure the net buying and selling by institutions and individual investors and find that from 1980 to 2004 institutional investors were net buyers of growth stocks and net sellers of value stocks, implying that individual investors were net buyers of value stocks and net sellers of glamour stocks. The institutional preference for glamour and value stocks seems to be related to sell‐side analysts' recommendations and recent favorable stock price performances, especially during the post‐1994 period. Finally, the institutional buying of growth stocks and sale of value stocks was not based on superior information.     

THE FUNDAMENTAL DETERMINANTS OF TRADING VOLUME REACTION TO FINANCIAL INFORMATION: EVIDENCE AND IMPLICATIONS FOR EMPIRICAL CAPITAL MARKET RESEARCH

Prior empirical research indicates that trading volume reaction to new information increases with the heterogeneity of investors’ prior beliefs. We examine three potential factors that theoretical models of financial economists show determine trading volume reaction to new information: heterogeneous prior beliefs, differential interpretation, and the consensus effect—the extent to which the information causes their beliefs to converge or diverge. We find that these three factors have a distinct and significant incremental effect on trading volume, thereby suggesting that empirical trading volume models that exclude or fail to control for any of these determinants are misspecified with biased estimated coefficients.     

CHANGES IN THE STOCK PRICE REACTION OF SMALL FIRMS TO COMMON INFORMATION

We hypothesize that changes in the technological and regulatory environment result in a more rapid response to marketwide information by small firms. We find that the correlations between small-firm returns and lagged large-firm returns decline over time, which suggests an increase in the efficiency of capital markets. Similar lead-lag patterns are found in the returns of portfolios sorted by dollar trading volume. The price response of low-volume stocks improves over time in much the same way as that of small-capitalization stocks.     

STOCK MARKET REACTION TO ETHICAL INITIATIVES OF DEFENSE CONTRACTORS: THEORY AND EVIDENCE

This paper offers an Investor Decision Framework (IDF) to describe and measure investor behavior toward social responsibility information. This framework seeks to explain how investors perceive the effects of social responsibility information on firm value. The formation in 1986 by 32 major defense contractors of the Defense Industries Initiative (DII) provides an ideal example to assess stock market reaction to an ethical initiative. The performance of the DII firms was compared with that of a control group of non-DII defense firms, which did not sign the agreement, in order to measure and determine the extent to which the market placed substance on the DII as a public commitment to ethics. We initially posited that the DII firms stock price would move in a significantly positive direction. However, when our analysis revealed a significant negative impact not only on DII, but also on non-DII defense stock prices, we were forced to reject thisa priorihypothesis. The market interpreted this ethical initiative as (i) a precursor of future sanctions towards firms engaged in defense contracting or (ii) as a penalty for social irresponsibility imposed by socially conscious investors. Either way, it would have a negative impact upon future cash flows.     

THE CHOICE OF TRADING VENUE AND RELATIVE PRICE IMPACT OF INSTITUTIONAL TRADING: ADRs VERSUS THE UNDERLYING SECURITIES IN THEIR LOCAL MARKETS

We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company's listing in its home market and that in the United States as an American Depositary Receipt [ADR]) and (2) the comparison of trading costs across the two venues. We identify institutional trading in both venues using proprietary institutional trading data. Overall, our research underscores the intuition that the choice of institutional trading in a stock's local market or as an ADR is a complex process that embodies variables that measure the relative adverse selection and liquidity at order, stock, and country levels. Institutions route a higher percentage of trades to more liquid markets, and these trades are associated with higher cumulative abnormal returns. We also find that institutional trading costs are generally lower for trading cross‐listed stocks on home exchanges even after controlling for selection bias.     

THE DYNAMICS OF BOND YIELD SPREADS AROUND RATING REVISION DATES

We examine the effect of rating revisions on sterling Eurobond yields using a panel model with conditional heteroskedasticity that controls for event‐induced changes in the variance of spreads. Positive rating revisions are fully anticipated by the time the upgrade occurs. Negative revisions are only partially anticipated, and spreads on downgraded bonds rise for some time after the downgrade has been announced. This asymmetry is not apparent in a conventional event study model. All ratings announcements are accompanied by a temporary fall in yield volatility. We attribute this to the resolution of uncertainty about the true rating of the bond.     

DOES VOLATILITY DECREASE AFTER REVERSE STOCK SPLITS?

Previous research documents that volatility decreases after reverse stock splits. I show that measurement effects bias observed volatility, especially for lower priced stocks. Based on observed returns, volatility decreases 25% after reverse splits. Controlling for bid–ask bounce, volatility still decreases for stocks with prices above $5.00. However, for stocks below $2.00, volatility increases slightly. The portion of observed volatility attributable to measurement effects declines as the stock price increases and as the minimum tick size decreases. Finally, there is a significant and positive cross‐sectional relation between changes in the number of trades and changes in volatility after reverse splits.