[Are there important cyclical fluctuations in bond market premiums and, if so, with what macroeconomic aggregates do these premiums vary? We use the methodology of dynamic factor analysis for large datasets to investigate possible empirical linkages between forecastable variation in excess bond returns and macroeconomic fundamentals. We find that "real" and "inflation" factors have important forecasting power for future excess returns on U. S. government bonds, above and beyond the predictive power contained in forward rates and yield spreads. This behavior is ruled out by commonly employed affine term structure models where the forecastability of bond returns and bond yields is completely summarized by the cross-section of yields or forward rates. An important implication of these findings is that the cyclical behavior of estimated risk premia in both returns and long-term yields depends importantly on whether the information in macroeconomic factors is included in forecasts of excess bond returns. Without the macro factors, risk premia appear virtually acyclical, whereas with the estimated factors risk premia have a marked countercyclical component, consistent with theories that imply investors must be compensated for risks associated with macroeconomic activity.]

The acceleration of the U.S. productivity growth in the late 1990s suggests a significant advance in technological innovation, making the perceived probability of entering a “new economy” ever increasing. Based on macroeconomic data, we identify a Bayesian investor's belief evolution when facing a possible structural break in the economy. We show that such belief evolution plays a significant role in explaining both the stock market boom and crash during 1998 to 2001. We conclude that a rational investor's uncertainty about the future of the U.S. economy provides an alternative explanation for the late 1990s stock market “bubble.”

[This article analyzes optimal nonlinear portfolio management contracts. We consider a setting in which the investor faces moral hazard with respect to the effort and risk choices of the portfolio manager. The employment contract promises the manager: (i) a fixed payment, (ii) a proportional asset-based fee, (iii) a benchmark-linked fulcrum fee, and (iv) a benchmark-linked option-type "bonus" incentive fee. We show that the optiontype incentive helps overcome the effort-underinvestment problem that undermines linear contracts. More generally, we find that for the set of contracts we consider, with the appropriate choice of benchmark it is always optimal to include a bonus incentive fee in the contract. We derive the conditions that such a benchmark must satisfy. Our results suggest that current regulatory restrictions on asymmetric performance-based fees in mutual fund advisory contracts may be costly.]

Although the perception of available support is associated with positive outcomes, the receipt of actual support from close others is often associated with negative outcomes. In fact, support that is “invisible” (not perceived by the support recipient) is associated with better outcomes than “visible” support. To investigate this paradox, we proposed that received support (both visible and invisible) would be beneficial when it was responsive to the recipient's needs. Sixty-seven cohabiting couples participated in a daily-experience study in which they reported on the support they provided and received each day. Results indicated that both visible and invisible support were beneficial (i.e., associated with less sadness and anxiety and with greater relationship quality) only when the support was responsive. These findings suggest that the nature of support is an important determinant of when received support will be beneficial.

[A new methodology is proposed to estimate theoretical prices of financial contingent claims whose values are dependent on some other underlying financial assets. In the literature, the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. This paper proposes a simulation-based method. When it is used in connection with ML, it can improve the finite-sample performance of the ML estimator while maintaining its good asymptotic properties. The method is implemented and evaluated here in the Black-Scholes option pricing model and in the Vasicek bond and bond option pricing model. It is especially favored when the bias in ML is large due to strong persistence in the data or strong nonlinearity in pricing functions. Monte Carlo studies show that the proposed procedures achieve bias reductions over ML estimation in pricing contingent claims when ML is biased. The bias reductions are sometimes accompanied by reductions in variance. Empirical applications to U. S. Treasury bills highlight the differences between the bond prices implied by the simulation-based approach and those delivered by ML. Some consequences for the statistical testing of contingent-claim pricing models are discussed.]

We examine the effects of structural change in the U.S. banking industry, as well as key regulatory changes, including recently enacted deposit insurance reform legislation, on the resiliency of the FDIC-administered bank insurance fund (BIF) by estimating and comparing the probability of BIF insolvency over time. We do this using a Markov-switching model that relies on historical patterns of BIF disbursements to define the probability of switching among three “states” of the banking industry's financial health. Monte Carlo simulations are then performed to project the financial condition of the BIF over a 50-year period. Our results indicate that the insolvency risk to the bank insurance fund has increased significantly due to industry consolidation, and is mainly due to the concentration of deposits in the 10 largest U.S. banking companies. We also find that recent deposit insurance reforms will cause only a marginal reduction in the risk of BIF insolvency. The increased risk associated with a more concentrated industry structure simply dominates the reform effect.

ABSTRACT I identify three option exercise strategies executives engage in, including (i) exercising with cash and immediately selling the shares, (ii) exercising with cash and holding the shares, and (iii) delivering some shares to the company to cover the exercise costs and holding the remaining shares. Stock price patterns suggest executives manipulate option exercises. They use private information to increase the profitability of all three strategies, and likely backdated some exercise dates in the pre‐Sarbanes‐Oxley period to enhance the profitability of the latter two strategies, where the executive's company is the only counterparty. Backdating is associated with reporting of internal control weaknesses.

I study external debt issued by operating subsidiaries of diversified firms. Consistent with Kahn and Winton's [2004. Moral hazard and optimal subsidiary structure for financial institutions. Journal of Finance 59, 2537–2575] model, where subsidiary debt mitigates asset substitution, I find firms are more likely to use subsidiary debt when their divisions vary more in risk. Consistent with subsidiary debt mitigating the free cash flow problem, I find that subsidiaries are more likely to have their own external debt when they have fewer growth options and higher cash flow than the rest of the firm. Finally, I find that subsidiary debt mitigates the “corporate socialism” and “poaching” problems modeled in theories of internal capital markets.

Cheng and Neamtiu examine whether credit rating agencies exploit market power to sell a substandard product. Their evidence is suggestive, but plausible alternative hypotheses could explain their results. Johnston, Markov and Ramnath provide first evidence on the bond and firm characteristics that determine the quantity of sell-side debt analyst coverage that a corporate bond receives. They also find that debt analysts anticipate credit rating changes and add information to markets incremental to credit ratings, suggesting debt analysts will be important to future research on bond markets. These results also suggest a method for refining tests of rating agency market power.

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