Knowledge that Transforms

I show that investment in housing plays a crucial role in explaining the patterns of cross-sectional variation in the composition of wealth and the level of stockholdings observed in portfolio composition data. Due to investment in housing, younger and poorer investors have limited financial wealth to invest in stocks, which reduces the benefits of equity market participation. House price risk crowds out stockholdings, and this crowding out effect is larger for low financial net-worth. In the model as in the data leverage is positively correlated with stockholdings.

We develop a dynamic model of a limit order market populated by strategic liquidity traders of varying impatience. In equilibrium, patient traders tend to submit limit orders, whereas impatient traders submit market orders. Two variables are the key determinants of the limit order book dynamics in equilibrium: the proportion of patient traders and the order arrival rate. We offer several testable implications for various market quality measures such as spread, trading frequency, market resiliency, and time to execution for limit orders. Finally, we show the effect of imposing a minimal price variation on these measures.

We parsimoniously characterize the severity of market frictions affecting a stock using the delay with which its price responds to information. The most delayed firms command a large return premium not explained by size, liquidity, or micro-structure effects. Moreover, delay captures part of the size effect, idiosyncratic risk is priced only among the most delayed firms, and earnings dirft is monotonically increasing in delay. Frictions associated with investor recognition appear most responsible for the delay effect. The very small segment of delayed firms, comprising only 0.02% of the market, generates substantial variation in average returns, highlighting the importance of frictions.

This article provides an empirical decomposition of the default, liquidity, and tax factors that determine expected corporate bond returns. In particular, the risk premium associated with a default event is estimated. The intensity-based model is estimated using bond price data for 104 US firms and historical default rates. Significant risk premia on common intensity factors and important tax and liquidity effects are found. These components go a long way towards explaining the level of expected corporate bond returns. Adding a positive default event risk premium helps to explain the remaining error, although this premium cannot be estimated with high statistical precision.

Prices of interest rate derivative securities depend crucially on the mean reversion parameters of the underlying diffusions. These parameters are subject to estimation bias when standard methods are used. The estimation bias can be substantial even in very large samples and much more serious than the discretization bias, and it translates into a bias in pricing bond options and other derivative securities that is important in practical work. This article proposes a very general and computationally inexpensive method of bias reduction that is based on Quenouille's (1956; Biometrika, 43, 353-360) jackknife. We show how the method can be applied directly to the options price itself as well as the coefficients in the models. We investigate its performance in a Monte Carlo study. Empirical applications to U.S. dollar swap rates highlight the differences between bond and option prices implied by the jackknife procedure and those implied by the standard approach. These differences are large and suggest that bias reduction in pricing options is important in practical applications.

Executives can only impact firm outcomes if they have influence over crucial decisions. On the basis of this idea, we develop and test the hypothesis that firms whose CEOs have more decision-making power should experience more variability in performance. Focusing primarily on the power the CEO has over the board and other top executives as a consequence of his formal position and titles, status as a founder, and status as the board's sole insider, we find that stock returns are more variable for firms run by powerful CEOs. Our findings suggest that the interaction between executive characteristics and organizational variables has important consequences for firm performance.

This article analyzes the effects of information leakage on trading behavior and market efficiency. A trader who receives a noisy signal about a forthcoming public announcement can exploit it twice. First, when he receives it, and second, after the public announcement since he knows best the extent to which his information is already reflected in the pre-announcement price. Given his information he expects the price to overshoot and intends to partially revert his trade. While information leakage makes the price process more informative in the short-run, it reduces its informativeness in the long-run. The analysis supports Securities and Exchange Commission's Regulation Fair Disclosure.

This article studies the determinants of the success of industry consolidations using a unique sample of firms established at the time of their initial public offering: roll-up IPOs. In these transactions, small, private firms merge into a shell company, which goes public at the same time. These firms deliver poor stock returns; their operating performance mimics that of comparable firms but does not justify their high initial valuations. However, if the managers and owners of the firms included in the transaction remain involved in the business as shareholders and directors, operating and stock price performance improve, and future acquisitions are better received by the market. Higher ownership by the sponsor of the transaction leads to a reduction in performance, consistent with the view that the sponsor's compensation is excessive. These findings highlight the impact of corporate governance on performance.

I show that when an issuer has superior information about the value of its assets, it is better off selling assets separately rather than as a pool due to the information destruction effect of pooling. If, however, the issuer can create a derivative security that is collateralized by the assets, pooling and "tranching" may be optimal. If the residual risk of each asset is not highly correlated, tranching allows the issuer to exploit the risk diversification effect of pooling to create a low-risk and highly liquid security. In contrast, for an uninformed seller, pure pooling reduces underpricing and is preferred to separate asset sales. These results lead to a dynamic model of financial intermediation: originators sell pools of assets, some of which are purchased by informed intermediaries who then further pool and tranche them. Pooling and tranching allow intermediaries to leverage their capital more efficiently, enhancing the returns to their private information.

We use various stochastic dominance criteria that account for (local) risk seeking to analyze market portfolio efficiency relative to benchmark portfolios formed on market capitalization, book-to-market equity ratio and price momentum. Our results suggest that reverse S-shaped utility functions with risk aversion for losses and risk seeking for gains can explain stock returns. The results are also consistent with a reverse S-shaped pattern of subjective probability transformation. The low average yield on big caps, growth stocks, and past losers may reflect investors' twin desire for downside protection in bear markets and upside potential in bull markets.