Berk and Green (2004) make a theoretical argument that performance persistence should not exist since new money flows into well-performing mutual funds and there are diseconomies of scale, or because successful funds capture excess returns by raising fees. We find that performance prediction continues when we examine samples of larger and larger funds and that past performance predicts future performance for holding periods up to three years. Funds that outperform index funds of the same risk can be identified. We find that expense ratios are lower for large funds, and decrease as funds get larger or perform well.

We analyze how firms renegotiate labor contracts to extract concessions from labor. While anecdotal evidence suggests that firms tend to renegotiate wages downward in times of financial distress, there is no empirical evidence that documents such renegotiation, its determinants, and its magnitude. This article attempts to fill this gap. Using a unique data set of airlines, which includes detailed information on wages and pension plans, we document an empirical link between airline financial distress, pension underfunding, and wage concessions.

Many institutions are attracted to diversified portfolios of hedge funds, referred to as Funds of Hedge Funds (FoHFs). In this article, we examine a new database that separates out for the first time the effects of diversification (the number of underlying hedge funds) from scale (the magnitude of assets under management). We find with others that the variance-reducing effects of diversification diminish once FoHFs hold more than 20 underlying hedge funds. This excess diversification actually increases their left-tail risk exposure once we account for return smoothing. Furthermore, the average FoHF in our sample is more exposed to left-tail risk than are naïve 1/N randomly chosen portfolios. This increase in tail risk is accompanied by lower returns, which we attribute to the cost of necessary due diligence that increases with the number of hedge funds.

This paper introduces two methods of hiding loan losses and analyzes how they affect a bank's loan interest income, payments on deposits, liquidity and moral hazard. The analysis reveals that a hiding method represents a Ponzi scheme. Contrary to classic theory, e.g. Diamond (1984), moral hazard may arise even though a bank's loan portfolio is diversified. Alternative instruments to eliminate hiding are investigated. Under specific circumstances, a Ponzi scheme may provide a socially optimal method to create liquidity and prevent a failure of a solvent but illiquid bank.

In this paper, the authors use monthly holdings to study timing ability. These data differ from holdings data used in previous studies in that the authors’ data have a higher frequency and include a full range of securities, not just traded equities. Using a one-index model, the authors find, as do two recent studies, that management appears to have positive and statistically significant timing ability. When a multiindex model is used, the authors show that timing decisions do not result in an increase in performance, whether timing is measured using conditional or unconditional sensitivities. The authors show that sector rotation decisions with respect to high-tech stocks are a major contribution to negative timing.

This paper develops a framework for analyzing socially and privately optimal bank loan-monitoring decisions, with and without capital regulation. In contrast to the monitoring decision of a social planner who seeks to maximize the utility of aggregate consumption, banks choose to monitor only if doing so is consistent with maximizing the market value of equity. As a consequence, socially and privately optimal monitoring choices can diverge. Under some circumstances, appropriately configured capital regulation can bring private loan-monitoring decisions into line with those of the social planner. Nevertheless, the capital ratio required to attain this outcome hinges on a number of factors that are likely to be economy-specific, including the banking system's monitoring technology and its exposure to default. Thus, it is unlikely that a unique capital ratio will be able to induce socially optimal monitoring in all economies.

This paper examines blanket guarantee, deposit insurance and restructuring decisions with respect to a multinational bank (MNB) using Nash bargaining when the threat of a bank panic motivates countries to make decisions quickly. Failure of the bank would unevenly distribute externalities across countries, influencing the restructuring incentives. In equilibrium, the bank is either liquidated or one of the countries – or both – recapitalizes it. A partition of the recapitalization costs is sensitive to the country-specific benefits and costs from recapitalization, panic and liquidation. The home regulator benefits from the advantage that it is the only entity that can legally liquidate the MNB. Rational expectations regarding the bargaining result affect the incentives to declare a blanket guarantee.

We study a firm’s investment in organization capital by analyzing a dynamic model of language development and intrafirm communication. We show that firms with richer internal language (i.e., more organization capital) have lower employee turnover, and higher diversity in skill and wages among incumbents who are promoted from within the firm. Our results also suggest that firms in rapidly changing industries are less likely to invest in organization capital, and are more likely to have high managerial turnover. Finally, our model shows that employment protection regulations lead to more investment in organization capital but less innovation.