Debtor-in-possession financing

Several recent papers have documented the benefits of debtor-in-possession (DIP) financing in the restructuring of firms in Chapter 11. However, the view on benefits is not unanimous and some legal scholars have raised doubts about DIP financing's effects on debt-holders and the possibility of expropriative wealth transfers. In this paper we address this issue by analyzing both stock and bond price data for a comprehensive sample of DIP loans and find significant positive abnormal stock and bond returns at the announcement of DIP loans. Also, we do not find evidence of wealth transfers from junior to senior debt-holders. Further, we examine the DIP loan process in detail and we document important institutional features of DIP loans such as maturity, covenants, fees and interest charges. We find evidence of intense monitoring using covenants. We also find higher fees and charges associated with DIP loans. We argue that overall the results are consistent with the information processing role of financial intermediaries.     

The fleeting nature of permanent reinvestment: Accounting for the undistributed earnings of foreign subsidiaries

Over the last decade, an increasing percentage of the profits reported by U.S. corporations were earned by their foreign subsidiaries and retained outside the United States resulting in the deferral of income taxes. The American Jobs Creation Act of 2004 provided a temporary federal tax incentive to remit such earnings, which resulted in the repatriation of $140 billion by the 30 firms comprising the Dow Jones Industrial Average. An analysis of the financial reporting disclosures made by these firms reveals that a tax expense was not fully recognized on a substantial portion of the earnings until repatriation because of an exception for foreign reinvestments deemed to be essentially permanent in duration. The implications of the currently acceptable accounting for undistributed foreign earnings are discussed as well as recommendations to improve the relevancy and reliability of the disclosures required for this exception to comprehensive recognition of deferred taxes.     

Hedging,Financing and Investment Decisions: A Simultaneous Equations Framework

We empirically investigate the interactions among hedging, financing, and investment decisions. We argue that the way in which hedging affects a firm's financing and investing decisions differs for firms with different growth opportunities. We find that high growth firms increase their investment, but not leverage, by hedging. However, we also find that firms with few investment opportunities use derivatives to increase their leverage.     

Current state of the electrification of Russia

The current progress of electrification in Russia is clearly insufficient compared with G8 countries. At the same time, economy sectors have a high potential for energy saving. The electricity consumption of households depends on their cash income and the growth rate of electricity tariffs.     

How Does Size Affect Mutual Fund Behavior?

If actively managed mutual funds suffer from diminishing returns to scale, funds should alter investment behavior as assets under management increase. Although asset growth has little effect on the behavior of the typical fund, we find that large funds and small‐cap funds diversify their portfolios in response to growth. Greater diversification, especially for small‐cap funds, is associated with better performance. Fund family growth is related to the introduction of new funds that hold different stocks from their existing siblings. Funds with many siblings diversify less rapidly as they grow, suggesting that the fund family may influence a fund's portfolio strategy.     

Stochastic frontier models with random coefficients

The paper proposes a stochastic frontier model with random coefficients to separate technical inefficiency from technological differences across firms, and free the frontier model from the restrictive assumption that all firms must share exactly the same technological possibilities. Inference procedures for the new model are developed based on Bayesian techniques, and computations are performed using Gibbs sampling with data augmentation to allow finite‐sample inference for underlying parameters and latent efficiencies. An empirical example illustrates the procedure. Copyright © 2002 John Wiley & Sons, Ltd.     

Socio‐economic distance and spatial patterns in unemployment

This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consistent with models in which agents' employment status is affected by information exchanged locally within their social networks. We present non‐parametric estimates of correlation across Census tracts as a function of each distance metric as well as pairs of metrics, both for unemployment rate itself and after conditioning on a set of tract characteristics. Our results indicate that there is a strong positive and statistically significant degree of spatial dependence in the distribution of raw unemployment rates, for all our metrics. However, once we condition on a set of covariates, most of the spatial autocorrelation is eliminated, with the exception of physical and occupational distance. Racial and ethnic composition variables are the single most important factor in explaining the observed correlation patterns. Copyright © 2002 John Wiley & Sons, Ltd.