Corporate Finance

Gallant, Hansen, and Tauchen (1990)Go show how to use conditioning information optimally to construct a sharper unconditional variance bound (the GHT bound) on pricing kernels. The literature predominantly resorts to a simple but suboptimal procedure that scales returns with predictive instruments and computes standard bounds using the original and scaled returns. This article provides a formal bridge between the two approaches. We propose an optimally scaled bound that coincides with the GHT bound when the first and second conditional moments are known.

In the wake of the recent corporate scandals that have damaged investor confidence, policymakers, academics, and pundits have taken aim at accounting rules as one of the areas in need of reform. Proposals for changing the rules governing the accounting for the granting of stock options has become one of the most hotly contested areas. Advocates of reform argue that options are a form of compensation and that granting options entails real costs to stockholders. They argue that it follows that options should be included as an expense item in the firm's financial statements.

We present a simple model where a firm will commit to a strictly positive hurdle rate on investment proposals by managers even though the two parties are symmetrically informed about the investments' profitability. Facing a positive hurdle rate, a manager who derives partial benefits from the investment profits will have more incentive to collect information about the projects. The optimal hurdle rate trades off the benefit of more information with the cost of foregoing ex post positive Net Present Value (NPV) projects.

This paper analyzes the role of jumps in continuous-time short rate models. I first develop a test to detect jump-induced misspecification and, using Treasury bill rates, find evidence for the presence of jumps. Second, I specify and estimate a nonparametric jump-diffusion model. Results indicate that jumps play an important statistical role. Estimates of jump times and sizes indicate that unexpected news about the macroeconomy generates the jumps. Finally, I investigate the pricing implications of jumps.

This paper presents a financial statement analysis that distinguishes leverage that arises in financing activities from leverage that arises in operations. The analysis yields two leveraging equations, one for borrowing to finance operations and one for borrowing in the course of operations. These leveraging equations describe how the two types of leverage affect book rates of return on equity.

We assemble bank-level and other data for Fed member banks to model determinants of bank failure. Fundamentals explain bank failure risk well. The first two Friedman-Schwartz crises are not associated with positive unexplained residual failure risk, or increased importance of bank illiquidity for forecasting failure. The third Friedman-Schwartz crisis is more ambiguous, but increased residual failure risk is small in the aggregate. The final crisis (early 1933) saw a large unexplained increase in bank failure risk.

This paper considers the problem of sequential parameter and state estimation in stochastic volatility jump diffusion models. We describe the existing methods, the particle and practical filter, and then develop algorithms to apply these methods to the case of stochastic volatility models with jumps. We analyze the performance of both approaches using both simulated and S and P 500 index return data. On simulated data, we find that the algorithms are both effective in estimating jumps, volatility, and parameters.

The permanent-income hypothesis (PIH) of Milton Friedman (1957) states that the agent saves in anticipation of possible future declines in labor income (John Y. Campbell, 1987). He also saves for precautionary reasons, and dissaves because of impatience. To justify the PIH in an intertemporal optimization framework, it has been conventional to assume both (i) quadratic utility, to turn off precautionary motives (Hall, 1978), and (ii) equality between the subjective discount rate and the interest rate, in order to rule out dissavings for lack of patience. Neither assumption is plausible.