Stock Returns and Operating Performance of Securities Issuers

We examine long‐run stock returns and operating performance around firms’ offerings of common stock, convertible debt, and straight debt from 1985 to 1990. We find that pre‐issue abnormal returns are positive and significant for stock issuers, but not for convertible and straight debt issuers. The post‐issue mean returns show that common stock and convertible debt issuers experience underperformance during the post‐issue periods, but straight debt issuers do not. Consistent with these results, common stock issuers experience the best pre‐issue operating performance among all three types of issuers, and operating performance declines during the post‐issue periods for common stock and convertible debt issuers. Using a new approach in linear model estimations to correct heteroskedasticity and to adjust for finite sample, we find a positive relation between post‐issue operating performance and issue‐period stock price reactions. The results suggest that future operating performance is anticipated at the issue and that securities issues provide information on issuers’ future performance.     

What Drives Firm‐Level Stock Returns?

I use a vector autoregressive model (VAR) to decompose an individual firm's stock return into two components: changes in cash-flow expectations (i.e., cash-flow news) and changes in discount rates (i.e., expected-return news). The VAR yields three main results. First, firm-level stock returns are mainly driven by cash-flow news. For a typical stock, the variance of cash-flow news is more than twice that of expected-return news. Second, shocks to expected returns and cash flows are positively correlated for a typical small stock. Third, expected-return-news series are highly correlated across firms, while cash-flow news can largely be diversified away in aggregate portfolios.     

The Information Content Of Calls Of Debt: Evidence From Long-Run Stock Returns

We examine the long‐run performance of the common stock of firms following calls of both straight and convertible debt from 1945 to 1995. Using a sample of 718 calls of straight debt, we find an average abnormal return in the five years following the call of between 0.16% and 0.34% per month, which compounds to an economically and statistically significant 11% to 22% over the five‐year period. This evidence of overperformance following calls shows a distinct symmetry between the straight debt and equity markets. Issues of debt and equity are both followed by long‐term underperformance, whereas stock repurchases and debt calls are both followed by long‐run overperformance. For our sample of 713 calls of convertible debt, we find little systematic evidence of abnormal performance following the call. Some researchers suggest that calls of convertible debt provide negative signals to the market. Our results provide no support for this claim. In contrast, our evidence of marginal positive long‐run returns provides weak support for the model that calls of convertible debt signal the realization of profitable investment options, and for the price pressure hypothesis.     

Political Connection and Stock Returns: A Longitudinal Study

A stock market should display informational efficiency and, therefore, should appropriately reflect the value of political connections, if any value exists. Using a comprehensive data set that incorporates both obvious and less obvious political connections to firms in Thailand, we provide a longitudinal study which shows that higher realized stock returns are systematically associated with political connectedness. Consistent with the view that such a relationship provides economic rents, this finding is particularly prominent in more regulated industries. The politically connected premium is higher for higher level political connections and when the political bodies hold an equity stake in the firm.     

Shareholder Coordination,Information Diffusion and Stock Returns

We show that the quality of information‐sharing networks linking firms’ institutional investors has stock return predictability implications. We find that firms with high shareholder coordination experience less local comovement and less post‐earnings announcement drift, consistent with the notion that information‐sharing networks facilitate information diffusion and improve stock price efficiency. In support of the view that coordination acts as an information diffusion channel, we document that the stock return performance of firms with high shareholder coordination leads that of firms with low shareholder coordination.     

The Effect Of Stock Splits On Liquidity And Excess Returns: Evidence From Shareholder Ownership Composition

We examine the influence of firm ownership composition on both the abnormal returns at the announcement of a stock split and liquidity changes following a stock split. We find three results. First, the largest post‐split increase in institutional ownership occurs for firms that had low institutional ownership before the split. Second, changes in liquidity are negatively related to the level of institutional ownership before the split. Last, the abnormal return following a split is negatively related to the level of institutional ownership before the split. These findings are important as they shed new light on the source of stock split announcement returns.     

Information and Long‐Term Stock Performance Following Open‐Market Share Repurchases

We find that firm managers have private information when they decide on open‐market share repurchases, and that this information is significantly correlated with announcement period and post‐announcement abnormal returns. We further find that long‐term post‐announcement abnormal returns are related to private information differently for firms that actually repurchase shares when compared to firms that announce a repurchase program but do not acquire shares. Our results indicate that managers’ private information is only ambiguously revealed by the repurchase announcement, and that the market waits for the firm's subsequent actions, such as actual repurchase, to further interpret the private information.     

Can Companies Influence Investor Behaviour through Advertising? Super Bowl Commercials and Stock Returns

Recent research shows that mood and attention may affect investors’ choices. In this paper we examine whether companies can create such mood and attention effects through advertising. We choose a natural experiment by investigating price reactions and trading activity for firms employing TV commercials in 19 Super Bowl broadcasts over the 1969–2001 period. We find significant positive abnormal returns for firms which are readily identifiable from the ad contents, which is consistent with the presence of mood and attention effects. For recognisable companies with the number of ads greater than the sample mean, the event is followed by an average abnormal one day return of 45 basis points. The effect appears to persist in the short term with the 20‐day post‐event cumulative abnormal returns for such firms averaging 2%. We find significant abnormal net buying activity for small trades in shares of recognised Super Bowl advertisers indicating that small investors tend to be the ones most attracted by the increased publicity.     

Explaining Monday Returns

The Monday effect is reexamined using two stock indexes and a sample of 452 individual stocks that trade on the London Stock Exchange. The results based on conventional test methods reveal a negative average return on Monday. Extending the analysis to examine the effects of various possible influences simultaneously, the average Monday return becomes positive and does not differ significantly from the average returns of most other days of the week. Fortnight, ex‐dividend day, account period, (bad) news flow, trading activity, and bid‐ask spread effects are all controlled for. The results broadly support the trading time hypothesis.     

Distinguishing Between Rationales for Short‐Horizon Predictability of Stock Returns

In this paper, we shed light on short‐horizon return reversals. We show theoretically that a risk‐based rationale for reversals implies a relation between returns and past order flow, whereas a reversion in beliefs of biased agents does not do so. The empirical results indicate that returns are more strongly related to own‐return lags than to lagged order imbalances. Thus, the evidence suggests that monthly reversals are not completely captured by inventory effects and may be driven, in part, by belief reversion. We do find that returns are cross‐sectionally related to lagged imbalance innovations at horizons longer than a month.     

The Impact of Corporate Governance Press News on Stock Market Returns

Stock market prices reflect information regarding firms’ business environments, operations and, in general, their fundamentals. Recently, various studies have analysed the link between news coverage and stock prices but no evidence exists on how channels and ways of communication of information affect investors’ behaviour. We analyses these aspects focussing on a large sample of corporate governance news published between 2003 and 2007 in ‘Il Sole 24 Ore’, Italy's major financial newspaper. We show that before news is made public investors are only able to assess the type of corporate governance event underlying it. After publication, investors are influenced by the content (positive or negative) and the tone of communication (strong or weak) of the news.     

Price Clustering on the Tokyo Stock Exchange

This paper examines price clustering on the Tokyo Stock Exchange (TSE). Regardless of tick and lot size, prices ending in zero and five are the most popular. The TSE has no market makers or direct negotiation between traders; therefore, clustering is not explained by collusion or negotiation. Our evidence supports the attraction hypothesis. Clustering also extends to order book depth. There is evidence of strategic trading behavior as traders place orders one price tick better than zero and five to avoid queuing orders at prices ending in these digits. Strategic trading behavior declined and clustering increased when the market became anonymous.     

Order Flows and Stock Returns: Compensation for Market Makers with Inventory Concerns

We investigate whether market makers with inventory concerns are compensated with subsequent monthly returns in the cross‐section. We find a significant negative relation between order flows and monthly returns, “the order flow effect,” suggesting that market makers lower prices for stocks with sell order flows and demand a reward in the form of higher expected returns. Further, the order flow effect is stronger for high‐volatility or high‐volume stocks for which market makers have serious inventory concerns. Funding liquidity of market makers also affects the order flow effect. Finally, our finding is independent of existing regularities and robust to the decimalization.     

The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises

We investigate the stock returns subsequent to quarterly earnings surprises, where the benchmark for an earnings surprise is the consensus analyst forecast. By defining the surprise relative to an analyst forecast rather than a time‐series model of expected earnings, we document returns subsequent to earnings announcements that are much larger, persist for much longer, and are more heavily concentrated in the long portion of the hedge portfolio than shown in previous studies. We show that our results hold after controlling for risk and previously documented anomalies, and are positive for every quarter between 1988 and 2000. Finally, we explore the financial results and information environment of firms with extreme earnings surprises and find that they tend to be “neglected” stocks with relatively high book‐to‐market ratios, low analyst coverage, and high analyst forecast dispersion. In the three subsequent years, firms with extreme positive earnings surprises tend to have persistent earnings surprises in the same direction, strong growth in cash flows and earnings, and large increases in analyst coverage, relative to firms with extreme negative earnings surprises. We also show that the returns to the earnings surprise strategy are highest in the quartile of firms where transaction costs are highest and institutional investor interest is lowest, consistent with the idea that market inefficiencies are more prevalent when frictions make it difficult for large, sophisticated investors to exploit the inefficiencies.     

Temporal Patterns in Foreign Exchange Returns and Options

Although the foreign exchange market is believed to be one of the most efficient financial markets in the world, there is significant evidence that technical analysis is profitable in this market. In this study we investigate the ability of information from the options market to supplement the commonly used information on past prices to predict temporal patterns in foreign exchange returns. We find that strategies using information from at-the-money options were more consistently profitable than the commonly used strategies based on only historical spot exchange rates (past prices). Consequently, options appear to contain information regarding future spot exchange rate movements.     

Stock Price and Volume Effects Associated with Compositional Changes in European Stock Indices

This paper provides further evidence of price and volume effects associated with index compositional changes by analysing the inclusions (exclusions) from the French CAC40 and SBF120 indices, as well as the FTSE100. I find evidence supporting the price pressure hypothesis associated with index fund rebalancing, but weak or no evidence for the imperfect substitution, liquidity and information hypotheses. The results improve on recent evidence from the S&P500 index. The evidence for the FTSE100 additions shows, in particular, that markets learn about an imminent inclusion and incorporate this information into prices, even before the announcement date.     

Does the Precision of News Affect Market Underreaction? Evidence from Returns Following Two Classes of Profit Warnings

We evaluate whether the market reacts rationally to profit warnings by testing for subsequent abnormal returns. Warnings fall into two classes: those that include a new earnings forecast, and those that offer only the guidance that earnings will be below current expectations. We find significant negative abnormal returns in the first three months following both types of warning. There is also evidence that underreaction is more pronounced when the disclosure is less precise. Abnormal returns are significantly more negative following disclosures that offer only qualitative guidance than when a new earnings forecast is included.     

Stock Returns following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance

We examine stock returns following large one-day price declines and find that the bid-ask bounce and the degree of market liquidity explain short-term price reversals. Further, we do not find evidence consistent with the overreaction hypothesis. We observe that securities with large one-day price declines perform poorly over an extended time horizon.     

Can Asset Pricing Models Price Idiosyncratic Risk in U.K. Stock Returns?

I examine how well different linear factor models and consumption‐based asset pricing models price idiosyncratic risk in U.K. stock returns. Correctly pricing idiosyncratic risk is a significant challenge for many of the models I consider. For some consumption‐based models, there is a clear tradeoff in the performance of the models between correctly pricing systematic risk and idiosyncratic risk. Linear factor models do a better job in most cases in pricing systematic risk than consumption‐based models but the reverse is true for idiosyncratic risk.     

The Determinants of Conditional Autocorrelation in Stock Returns

We investigate whether return volatility, trading volume, return asymmetry, business cycles, and day‐of‐the‐week are potential determinants of conditional autocorrelation in stock returns. Our primary focus is on the role of feedback trading and the interplay of return volatility. We present empirical evidence using conditional autocorrelation estimates generated from multivariate generalized autoregressive conditional heteroskedasticity (M‐GARCH) models for individual U.S. stock and index data. In addition to return volatility, we find that trading volume and market returns are important in explaining the time‐varying patterns of return autocorrelation.