We test the hypothesis that insider trading impairs market liquidity by analyzing intraday trades and quotes around 1,497 IPO lockup expirations in the period 1995–1999. We find that, while lockup expirations are associated with considerable insider trading for some IPO firms, they have little effect on effective spreads. By contrast, two other liquidity measures, quote depth and trading activity, improve substantially. In the 23% of lockup expirations where insiders disclose share sales, spreads actually decline. These findings indicate that a large body of well-informed, blockholding insider traders can enter a market from which they had previously been absent, and substantially change trading volume and share price without impairing market liquidity.

Journal rankings are frequently used as a measure of both journal and author research quality. Nonetheless, debates frequently arise because journal rankings do not take into account the underlying diversity of the finance research community. This study examines how factors such as a researcher's geographic origin, research interests, seniority, and journal affiliation influence journal quality perceptions and readership patterns. Based on a worldwide sample of 862 finance academics, we find remarkable consistency in the rankings of top journals. For the remaining journals, perception of journal quality differs depending on the researcher's geographic origin, research interests, seniority, and journal affiliation.

As the multinational corporation (MNC) becomes the norm rather than the exception, the need to internationalize the tools of domestic financial analysis is apparent. A key question is: What cost-of-capital figure should be used in appraising the profitability of foreign investments? This paper seeks to provide a comprehensive approach to analyze the cost-of-capital question. It begins by extending the weighted cost-of-capital concept to the multinational firm. It then builds on previous research to address the following related topics: national or multinational financial structure norms; the role of parent company guarantees; the costing of various fund sources particularly when exchange risk is present; the impact of tax and regulatory factors; risk and diversification; and joint ventures.

This paper identifies various components of stock prices and examines the response of stock prices to different types of shocks: permanent and temporary changes in earnings and dividends, changes in discount factors, and non-fundamental factors. The analysis is conducted in a log-linear structural VAR framework. I find that about half of the yearly variation in prices is not related to either earnings or dividend changes. Time-varying interest rates do not help explain the remaining price movements. However, time-varying excess stock returns (i.e., risk premiums) account for much of the remaining variation in stock prices, in particular, in the postwar period. As a result, the deviation of stock prices from these fundamentals reduces to about 10% of stock price movements and tends to persist for a while before it declines eventually. This finding seems more compatible with a fad rather than a bubble interpretation.

This paper analyzes the tradeoff between cost and risk of discretely rebalanced option hedges in the presence of transactions costs. I present closed form solutions for expected hedging error, transactions costs, and variance of the cash flow from a time-based hedging strategy similar to that analyzed by Leland (1985). Furthermore, I characterize the cost and risk of a move-based hedging strategy without resorting to Monte Carlo simulations. All results are sufficiently general to accommodate the use of a transactions costs adjusted hedging volatility and an asset rate of return that differs from the risk-free rate of return.

Using a unique data set with detailed information on the derivative positions of upstream oil and gas firms during 1996–2008, we find that hedging intensity is positively related to factors that amplify chief executive officer (CEO) entrenchment and free cash flow agency costs. There is also robust evidence that hedging is motivated by the reduction of financial distress and borrowing costs, and that it is influenced by both intrinsic cash flow risk and temporary spikes in commodity price volatility. We present a comprehensive perspective on the determinants of corporate hedging, and the results are consistent with the predictions of the risk management and agency costs literatures.

We compare investment policies across public and private firms in different institutional settings. Using a large cross-country data set, we find that public listed firms are better positioned to take advantage of growth opportunities than private firms. Specifically, public listed firms exhibit higher investment sensitivity to growth opportunities than private firms. This differential, however, only exists in countries with well-developed stock markets. Furthermore, the relative advantage public firms have at allocating capital depends on the degree of agency costs and reliance on external equity.

This paper examines the degree of anonymity—the extent to which a trader is recognized as informed—on alternative market structures. We find evidence that is consistent with less anonymity on the NYSE specialist system compared to the NASDAQ dealer system. Specifically, when corporate insiders trade medium-sized quantities (500–9,999 shares inclusive), NYSE listed stocks exhibit larger changes in proportional effective spreads than NASDAQ stocks. Taken together, these findings are consistent with Barclay and Warners (1993) contention that stealth (medium-sized) trades are more likely based on private information and insider trades are more transparent on the NYSE specialist system relative to the NASDAQ dealer system. The results support the hypothesis by Benveniste, Marcus, and Wilhelm (1992) that the unique relationship between specialists and floor brokers on the NYSE leads to less anonymity.

The empirical distributions of price changes for speculative assets (e.g., common stocks, bonds, etc.) measured over calendar time yield a higher frequency of observations near the mean and at the tails than would be expected for a normal distribution. The sample kurtosis is almost always greater than 3—the value expected for a normal distribution—and the distributions are commonly characterized as fat-tailed and peaked (i.e., leptokurtic).

We investigate the stock market reaction to 447 announcements of business relocation decisions in the 1978–1990 period. We find that the stock market reaction to such decisions is tied to the motive for the relocation and the implied prospects for the firm, with the type of facility being relocated playing an insignificant role. Our finding reconciles several results in the literature concerning the stock market reaction to announcements of capital investment decisions.

Equity index volatility variation and its interaction with the index return can come from three distinct channels. First, index volatility increases with the market’s aggregate financial leverage. Second, positive shocks to systematic risk increase the cost of capital and reduce the valuation of future cash flows, generating a negative correlation between the index return and its volatility, regardless of financial leverage. Finally, large negative market disruptions show self-exciting behaviors. This article proposes a model that incorporates all three channels and examines their relative contribution to index option pricing and stock option pricing for different types of companies.

We propose a mean-reverting stochastic process for the market beta. In a simulation study, the proposed model generates significantly more precise beta estimates than GARCH betas, betas conditioned on aggregate or firm-level variables, and rolling regression betas, even when the true betas are generated based on these competing specifications. Our model significantly improves out-of-sample hedging effectiveness. In asset pricing tests, our model provides substantially stronger support for the conditional CAPM relative to competing beta models and helps resolve asset pricing anomalies such as the size, book-to-market, and idiosyncratic volatility effects in the cross section of stock returns.

This study shows that individual investors systematically shift their preferences across extreme style portfolios (small vs. large, value vs. growth). These preference shifts are influenced by past style returns and earnings differentials, and advice from investment newsletters, but are unaffected by innovations in macroeconomic variables or shifts in expectations about future cash flows. Furthermore, investors’ dynamic style preferences influence returns along multiple dimensions: i) the contemporaneous relation between style returns and style-level preference shifts is strong, ii) there is weak evidence of style return predictability, and iii) the correlations among stocks within a style increase when investors move into or out of the style with greater intensity. Overall, the results indicate that stock categorization influences investors’ portfolio decisions and stock returns.

Event studies generally seek to measure abnormal security performance associated with firm-specific events. In principle, estimators of and tests for abnormal performance should appropriately reflect cross-sectional dependence between abnormal returns to different securities. Joint generalized least squares provides a natural framework for developing such estimators and tests. This paper derives a joint generalized least squares estimator and related test statistic applicable in the typical event study context. Simulation techniques comparable to those of Brown and Warner [2] are used to assess the frequency distribution of the estimator and power of the test statistic. Several simpler procedures are simulated for comparison. The results provide no evidence that joint generalized least squares is superior to simpler procedures.

We analyze the price reaction to analysts' revisions by testing the Griffin and Tversky (1992) hypothesis that agents place emphasis on the strength of the signal (the dramatic nature of the event) and may de-emphasize the weight (the ability of the analyst making the recommendation). Two attributes, namely, years of experience and the reputation of the analysts' brokerage houses form proxies for analyst ability (or weight) that we validate by documenting that revisions by high ability analysts outperform those by low ability ones. We find evidence of return persistence following small (low strength) revisions by high ability analysts and the opposite return pattern following large (high strength) revisions of low ability analysts, consistent with the arguments of Griffin and Tversky (1992). Our study provides an empirical link between evidence on individual decision making and stock market returns, and also helps promote an understanding of the analyst industry as well as its interaction with the investing population.

This paper examines the use of derivatives and its relation with risk taking in the hedge fund industry. In a large sample of hedge funds, 71% of the funds trade derivatives. After controlling for fund strategies and characteristics, derivatives users on average exhibit lower fund risks (e.g., market risk, downside risk, and event risk), such risk reduction is especially pronounced for directional-style funds. Further, derivatives users engage less in risk shifting and are less likely to liquidate in a poor market state. However, the flow-performance relation suggests that investors do not differentiate derivatives users when making investing decisions.

We study after-hours trading (AHT), price contributions, and price discovery following quarterly earnings announcements released outside of the normal trading hours. For Standard & Poor’s (S&P) 500 index stocks from 2004–2008, AHT is heightened on announcement days. A significant portion of the price change and price discovery occurs immediately after the earnings releases. Prices in AHT show a large degree of informational efficiency, further demonstrating the importance of price discovery in AHT. We also provide evidence suggesting that firms prefer after-hours earnings announcements, as trades are mainly from informed traders, and those trades are relied upon to convey information to the general public.

We show that dividend-growth predictability by the dividend yield is the rule rather than the exception in global equity markets. Dividend predictability is weaker, however, in large and developed markets where dividends are smoothed more, the typical firm is large, and volatility is lower. Our findings suggest that the apparent lack of dividend predictability in the United States does not uniformly extend to other countries. Rather, cross-country patterns in dividend predictability are driven by differences in firm characteristics and the extent to which dividends are smoothed.

Traditional finance theories typically treat leases and debt as substitutes. However, the empirical findings on the relation between leases and debt are mixed. This paper reinvestigates this relation. I present a model to incorporate different theories on the substitutability and complementarity between leases and debt, and I test the model implications empirically in a GMM framework that simultaneously controls for endogeneity problems and firms' fixed effects. The findings suggest that leases and debt are substitutes instead of complements. I also investigate the variation in the substitutability between leases and debt, and find that in those firms with more growth options or larger marginal tax rates, or in those firms paying no dividends, the substitutability is more pronounced, i.e., the cost of new debt increases to a larger degree with extra leases.

We study the impact of board reforms implemented in 40 countries worldwide on corporate dividend policy. Using a difference-in-differences analysis, we find that firms pay higher dividends following the reforms. The increase in dividend payouts is more pronounced for firms with weak board governance in the pre-reform period and those in countries with strong external governance mechanisms. Our findings corroborate the dividend outcome model, which postulates that board reforms strengthen the monitoring role of the board and empower outside shareholders to force management to disgorge dividends.