Knowledge that Transforms

Abstract Real option analysis typically assumes that projects are continuously evaluated and launched at precisely the time determined to be optimal, but real world projects cannot be managed in this way because of the costs of formally evaluating an investment opportunity. This paper shows that immediate investment is more attractive if evaluation costs are high or the amount of information to be revealed by an evaluation is large. The optimal delay until a reevaluation is long if evaluation costs are high or the amount of information to be revealed by an evaluation is small. The reduction in the value of project rights is especially severe when the value of the completed project is strongly mean reverting because then precision in investment timing is particularly important.

Abstract We develop empirical tests for stochastic dominance efficiency of a given investment portfolio relative to all possible portfolios formed from a given set of assets. Our tests use multivariate statistics, which result in superior statistical power properties compared to existing stochastic dominance efficiency tests and increase the comparability with existing mean-variance efficiency tests. Using our tests, we demonstrate that the mean-variance inefficiency of the CRSP all-share index relative to beta-sorted portfolios can be explained by tail risk not captured by variance.

Abstract This paper examines the valuation impacts of outside independent directors in Korea, where a regulation requiring outside directors was instituted after the Asian financial crisis. In contrast to studies of U.S. firms, the effects of independent directors on firm performance are strongly positive. Foreigners also have positive impacts. The effects of indigenous institutions such as chaebol or family control are insignificant or negative. This implies that the effect of outsiders depends on board composition as well as the nature of the market in which the firm operates.

Abstract International asset pricing models suggest that barriers to portfolio flows and availability of market substitutes affect the degree and time variation of world market integration. We use GARCH-in-mean methodology to assess the evolution in market integration for eight emerging markets over the period 1977–2000. Our results suggest that while local risk is still a relevant factor in explaining time variation of emerging market returns, none of the countries appear to be completely segmented. We find that there are substantial crossmarket differences in the degree of integration. The evolution toward more integrated financial markets is apparent although at times we do observe reversals. In addition, we provide clear evidence on the impropriety of directly using correlations of market-wide index returns as a measure of market integration. Finally, financial market development and financial liberalization policies play important roles in integrating emerging markets.

Abstract Bayesian learning claims that the strength of the price impact of unanticipated information depends on the relative precision of traders' prior and posterior beliefs. In this paper, we test for this implication of Bayesian models by analyzing intraday price responses of T-bond futures to U.S. employment announcements. By employing additional detailed information in addition to the widely used headline figures, we extract release-specific precision measures. We find that the price impact of more precise information is significantly stronger, even after controlling for an asymmetric price response to “good” and “bad” news. This result strengthens previous findings that differences in earnings response coefficients across companies are related to proxies for the credibility of the reported financial information.

Abstract When market returns follow a long memory volatility process, standard approaches to estimating dynamic minimum variance hedge ratios (MVHRs) are misspecified. Simulation results and an application to the S&P 500 index document the magnitude of the misspecification that results from failure to account for basis convergence and long memory in volatility. These results have important implications for the estimation of MVHRs in the S&P 500 example and other markets as well.

Abstract Beginning in the 1990s, firms often continue to trade on the major national exchanges after Chapter 11 bankruptcy filings. For bankruptcies filed from 1993–2003, we find that the more negative the filing period price reaction, the more favorable the immediate post-filing returns, on average. This reversal is not attributable to bid-ask bounce, it holds after controlling for other factors associated with post-filing returns, and it appears more attributable to the activities of large traders than to small traders. Supplementary tests reveal that the pattern of post-filing returns differs significantly for bankruptcies filed in bull versus bear markets. Bankruptcies filed during the 1993 to 1999 bull market enjoy substantial but short-lived reversals averaging one-third of the filing period price plunge. These reversals are inconsistent with efficient assimilation of the bankruptcy information. In contrast, we find no evidence of post-filing reversals for bankruptcies filed from 2000 to 2003.

Abstract Recent studies suggest that the underperformance of IPOs in the post-1970 sample may be a small sample effect or “Peso problem.” That is, IPO underperformance may result from observing too few star performers ex post than were expected ex ante. We develop a model of IPO performance that captures this intuition by allowing returns to be drawn from mixtures of outstanding, benchmark, or poor performing states. We estimate the model under the null of no ex ante average IPO underperformance and construct small sample distributions of various statistics measuring IPO relative performance. We find that small sample biases are extremely unlikely to account for the magnitude of the post-1970 IPO underperformance observed in data.

Abstract We find that among firms that file Chapter 11 those that are smaller have better operating performance, and are in higher operating margin industries spend less time in Chapter 11. Firms are more likely to emerge as going concerns and to achieve positive post reorganization profitability if they significantly reduce assets and liabilities while in Chapter 11. Higher pre-bankruptcy industry-adjusted operating margins and improvements in margin are associated with post-reorganization profitability but do not impact the decision to reorganize. These results reveal characteristics and actions associated with successful reorganizations and, furthermore, suggest that Chapter 11 allows promising firms to successfully reorganize.

Abstract We investigate how price discovery occurs in the options markets through traders' trade size choice. By employing transactions data on all options traded on a sample of 100 firms, we show that informed traders fragment their orders into small (medium) trades for low (high) volume contracts. We also find that almost 60% of the price discovery occurs in the exchange with the largest market share for a given option, where informed traders favor medium size trades. Upon examining distinct option series for a given stock, we find that at-the-money calls display the highest information share.