Abstract Some market crashes occur because of significant imbalances in demand and supply. Conventional models fail to explain the large magnitudes of price declines. We propose a unified structural framework for explaining crashes, based on the insights of market microstructure invariance. A proper adjustment for differences in business time across markets leads to predictions which are different from conventional wisdom and consistent with observed price changes during the 1987 market crash and the 2008 sales by Société Générale. Somewhat larger-than-predicted price drops during 1987 and 2010 flash crashes may have been exacerbated by too rapid selling. Somewhat smaller-than-predicted price decline during the 1929 crash may be due to slower selling and perhaps better resiliency of less integrated markets.

Abstract We estimate the stock’s likelihood of extreme returns by measuring the extent to which the stock’s trades are correlated with market-wide and industry-wide trades during normal times, referred to as herding. We find that stocks whose trades herd most with aggregate-level trades experience most negative (positive) returns during market crashes (booms). While herding generates extreme returns in both sides, investors appear to demand compensation for the possibility of extreme low returns. This is the case even when we control for standard asset pricing variables and other tail risk proxies.

Abstract In this article we develop a model to analyze patent-protected R&D investment projects when there is (imperfect) competition in the development and marketing of the resulting product. The competitive interactions that occur substantially complicate the solution of the problem since the decision maker has to take into account not only the factors that affect her/his own decisions, but also the factors that affect the decisions of the other investors. The real options framework utilized to deal with investments under uncertainty is extended to incorporate the game theoretic concepts required to deal with these interactions. Implementation of the model shows that competition in R&D, in general, not only increases production and reduces prices, but also shortens the time of developing the product and increases the probability of a successful development. These benefits to society are countered by increased total investment costs in R&D and lower aggregate value of the R&D investment projects.

Abstract To create value and reduce agency costs, firms adopt available organizational structures that match their attributes. This paper studies the characteristics of firms that choose to become master limited partnerships (MLPs). The MLP sample is dominated by firms in low-growth industries that have highly focused operations and superior profitability compared to their industry peers. After becoming an MLP, sample firms reduce capital expenditures and increase cash distributions, taking advantage of their focus, profitability, and status as non-taxable entities. A subsample of MLPs subsequently change back to corporate form. After becoming corporations, these firms reverse course by cutting cash distributions and increasing capital spending. This cycle demonstrates how firms restructure to adopt organizational forms that best fit their needs.

As argued by Jensen (1993), the primary tasks of a firm’s board of directors are to advise, hire, fire and determine the level and form of managerial compensation. Managerial pay can be structured as part cash and in part be tied to a performance index, such as corporate earnings or the firm’s stock price. The latter effectively aligns the interest of managers with those of stockholders, which in turn reduces agency problems related to free cash flow, managerial time horizons and effort levels. At the same time, stock-based compensation increases managerial exposure to non-diversifiable risk, which may cause risk-averse managers to underinvest in risky projects. The trade-off between the benefits of managerial incentive alignment and the cost of underinvestment is largely an empirical issue, and the widespread observation that managerial compensation is primarily paid in cash 1 suggests that managerial risk aversion weighs heavily or that boards generally resort to substitute monitoring mechanisms. The paper by Angbazo and Narayanan (1997) is part of a rapidly growing empirical literature attempting to identify important cross-sectional determinants

Abstract We investigate the joint optimal risk management and capital structure decisions of banks when they use contingent-convertible (CoCo) futures contracts to hedge financial-sector risk. In spite of banks choosing significantly higher leverage ratios, their default probabilities drop appreciably while their equity values increase, allowing banks to compete more favorably with the shadow-banking system. Banks’ value-maximizing decision to hedge financial-sector risk unintentionally leads to an economy with extremely low aggregate bank default rates across all future states of nature. Thus, CoCo futures offer a powerful microprudential and macroprudential policy tool. That banks choose not to hedge financial-sector risk in practice is consistent with managers internalizing bank bailouts.

Abstract We argue that anomalies may experience prolonged decay after discovery and propose a Bayesian framework to study how that impacts portfolio decisions. Using the January effect and short-term index autocorrelations as examples of disappearing anomalies, we find that prolonged decay is empirically important, particularly for small-cap anomalies. Papers that document new anomalies without accounting for such decay may actually underestimate the original strength of the anomaly and imply an overstated level of the anomaly out of sample. We show that allowing for potential decay in the context of portfolio choice leads to out-of-sample outperformance relative to other approaches.

Abstract Motivated by the rising importance of international sourcing by US firms in recent decades, we study the influence of international sourcing on capital structure. We find that international sourcing has a significant negative influence on financial leverage. The negative influence is stronger in industries that have high R&D intensities and are financially constrained. However, the negative relation is mitigated when suppliers are from countries with strong legal environments and when the supplier markets are more competitive. Overall, our findings suggest that relationship-specific investments, supplier market characteristics, and financial market conditions are key determinants of the sourcing–leverage relation.

Abstract We evaluate financial assets with payoffs linked to individual labor income, as conceived by Shiller (2003) and others. Using a realistically calibrated life-cycle model, we find that such assets can generate nontrivial welfare benefits, depending on the precise structure of the instrument. However, the assets we consider can only eliminate a relatively small fraction of the welfare costs of labor income risk over the life cycle. We highlight the fact that although the purpose of such assets is to smooth consumption across states of nature, one must also consider the assets' effects on households' ability to smooth consumption over time.

Abstract This paper provides an in depth analysis of an investor's reluctance to realize losses and his propensity to realize gains – a behavior known as the disposition effect. Together, sophistication (static differences across investors) and trading experience (evolving behavior of a single investor) eliminate the reluctance to realize losses. However, an asymmetry exists as sophistication and trading experience reduce the propensity to realize gains by 37% (but fail to eliminate this part of the behavior.) Our research design allows us to follow an individual's behavior from the start of his investing life/career. This ability makes it possible to track the evolution of the disposition effect as it is reduced and/or disappears.Our results are robust to alternative explanations including feedback trading, calendar effects, and frequency of observation.