Corporate Finance

This paper examines uncovered interest rate parity (UIRP) and the expectations hypotheses of the term structure (EHTS) at both short and long horizons. The statistical evidence against UIRP is mixed and is currency- not horizon-dependent. Economically, the deviations from UIRP are less pronounced than previously documented. The evidence against the EHTS is statistically more uniform, but, economically, actual spreads and theoretical spreads (spreads constructed under the null of the EHTS) do not behave very differently, especially at long horizons.

We integrate the financial architecture into the theory of investment by building on two strands of literature: irreversible investment and debt pricing/capital structure. We extend the real options approach to investment, pioneered by Michael J. Brennan and Eduardo S. Schwartz (1985) and Robert McDonald and Daniel Siegel (1986), to allow for capital structure decisions under strategic debt service. We also draw insights from corporate debt pricing/capital structure literature, which focuses on leverage and security pricing after investment has already been made (Robert C.

Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that it significantly predicts future returns, whereas alternative measures such as turnover do not.

Investment decisions frequently require coordination across multiple divisions of a firm. This paper explores a class of capital budgeting mechanisms in which the divisions issue reports regarding the anticipated profitability of proposed projects. To hold the divisions accountable for their reports, the central office ties the project acceptance decision to a system of cost allocations comprised of depreciation and capital charges.

Recent deliberations by both the International Accounting Standards Board (IASB) and the Financial Accounting Standard Board (FASB) in the United States have focused on how fair values of assets and liabilities should be measured. The issue of when, rather than how, fair value measurement should be applied is still far from resolved, however.

In this paper, we propose a method of accounting for stock options that tracks the effect of the options on shareholder value. The accounting approach we outline can be applied not only to employee stock options but to all claims that are effectively convertible into common shares, including convertible preferred stock, warrants, and call and put options on the firm's own stock. Our proposal also aims to make accounting consistent with stock prices, since the market surely takes account of the (potential) valuation effects of these claims when setting stock prices.

This paper examines model specification issues and estimates diffusive and jump risk premia using S&P futures option prices from 1987 to 2003. We first develop a time series test to detect the presence of jumps in volatility, and find strong evidence in support of their presence. Next, using the cross section of option prices, we find strong evidence for jumps in prices and modest evidence for jumps in volatility based on model fit. The evidence points toward economically and statistically significant jump risk premia, which are important for understanding option returns.

I develop a model of group decision-making, in which a committee generates proposals and holds open discussions, but the ultimate decision is either taken by a leader (decision by authority) or by majority vote. Optimal communication processes are studied that combine both cheap talk statements (proposals) and costly state verification (discussions). I show that by favouring one particular agent—the leader—authoritative decisionmaking reduces rent-seeking discussions and often results in a higher decision-quality relative to majority decision-making.

This chapter provides an overview of modeling and computational issues associated with portfolio credit risk. We consider the problem of calculating the loss distribution in a portfolio of assets exposed to credit risk, such as corporate bonds or bank loans. We also discuss the pricing of portfolio credit derivatives, such as basket default swaps and collateralized debt obligations. A portfolio view of credit risk requires capturing dependence between the assets in the portfolio; we discuss models of dependence and associated computational techniques.