Asset Management

Heterogeneity is ubiquitous in firm-level and sectoral data. Equilibrium models, however, typically assume a representative firm, as in Andrew B. Abel and Olivier J. Blanchard (1983). The representative firm paradigm leaves no role for the distribution of capital. We model capital reallocation in a general equilibrium model with two sectors. Capital adjustment costs capture illiquidity in our model, similar to Hirofumi Uzawa's (1969) capital installation technology.

This monograph focuses on the use of incomplete contracting models to study transfer pricing. Intrafirm pricing mechanisms affect division managers' incentives to trade intermediate products and to undertake relationship-specific investments so as to increase the gains from trade. Letting managers negotiate over the transaction is known to cause holdup (underinvestment) problems. Yet, in the absence of external markets, negotiations frequently outperform cost-based mechanisms, because negotiations aggregate cost and revenue information more efficiently into prices.

Affine jump-diffusion (AJD) processes constitute a large and widely used class of continuous-time asset pricing models that balance tractability and flexibility in matching market data. The prices of e.g., bonds, options, and other assets in AJD models are given by extended pricing transforms that have an exponential-affine form; these transforms have been characterized in great generality by Duffie et al. [2000. Transform analysis and asset pricing for affine jump-diffusions. Econometrica 68, 1343–1376].

We propose a new three-pronged plan to address the recent harmful flood of foreclosures. Our plan would address the major barriers that inhibit the ability of third-party servicers to modify mortgages the way portfolio lenders are now doing with greater success. The plan provides greater compensation for servicers to perform their duties, removes legal constraints that inhibit modification, and addresses critical second liens that often get in the way of effective mortgage modifications.

Several recent papers assume that private information (PIN), proposed by Easley et al. [2002. Is information risk a determinant of asset returns? Journal of Finance 57, 218–2221; 2004. Factoring information into returns. Working Paper, Cornell University], is a determinant of stock returns. We replicate Easley et al. (2002) and show that while PIN does predict future returns in the sample they analyze, the effect is not robust to alternative specifications and time periods.

Portfolio credit derivatives are contracts that are tied to an underlying portfolio of defaultable reference assets and have payoffs that depend on the default times of these assets. The hedging of credit derivatives involves the calculation of the sensitivity of the contract value with respect to changes in the credit spreads of the underlying assets, or, more generally, with respect to parameters of the default-time distributions. We derive and analyze Monte Carlo estimators of these sensitivities.

This paper documents that the earnings yield and book-to-price combine to predict equity returns in a way that is consistent with the rational pricing of risk. It is well known that earnings yields predict returns in the cross-section, consistent with standard formulas that show that the earnings yield equals the required return when there is no expected earnings growth beyond that from retention. With growth, those same formulas show that the earnings yield is increasing in the required return but decreasing in the growth.

This paper, the second in CEASA's White Paper series on accounting issues, lays out principles under which fair value accounting satisfies the objective of reporting to shareholders. Its "principles-based" approach embraces broad economic concepts but is also pragmatic and specific enough to guide practice.

We examine whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns. Our three main findings are: (1) the fraction of negative words in firm-specific news stories forecasts low firm earnings; (2) firms' stock prices briefly underreact to the information embedded in negative words; and (3) the earnings and return predictability from negative words is largest for the stories that focus on fundamentals.