Corporate Finance

We match Big Mac prices with prices of its ingredients as a unique prism to study real exchange rates (RERs). This approach has several advantages. First, the levels of the Big Mac RER can be measured meaningfully. Second, as the exact composition of a Big Mac is known, the contributions of its tradable and non-tradable components can be estimated relatively precisely. Third, the dynamics of the RER can be studied in a setting free of several biases inherent in CPI-based RERs. Finally, a large cross-country dimension allows us to overturn the Engel result on what drives RERs.

There has been considerable debate in recent years regarding the role of behavioral factors in determining housing prices. The question of whether psychology matters in the housing market has been settled long ago: the answer is yes. Rather, economists are now debating in what ways psychology impacts market behavior and how large an effect this impact has on housing prices.

The pricing of corporate debt is still a challenging and active research area in corporate finance. Starting with Merton (1974), many authors proposed a structural approach in which the value of the assets of the firm is modeled by a stochastic process, and all other variables are derived from this basic process. These structural models have become more complex over time in order to capture more realistic aspects of bankruptcy proceedings.

This paper analyzes the determinants of buyout funds' investment decisions. In a model in which the supply of capital is "sticky" in the short run, we link the timing of funds' investment decisions, their risk-taking behavior, and the returns they subsequently earn on their buyouts to changes in the demand for private equity, conditions in the credit market, and funds' ability to influence their perceived talent in the market. Using a proprietary dataset of 207 buyout funds that invested in 2,274 buyout targets over the last two decades, we then investigate the implications of the model.

Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time-series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly.

This paper uses a unique dataset from Denmark to investigate the impact of family characteristics in corporate decision making and the consequences of these decisions on firm performance. We focus on the decision to appoint either a family or external chief executive officer (CEO). The paper uses variation in CEO succession decisions that result from the gender of a departing CEO's firstborn child.

This paper lays out a decomposition of book-to-price (B/P) that derives from the accounting for book value and that articulates precisely how B/P "absorbs" leverage. The B/P ratio can be decomposed into an enterprise book-to-price (that pertains to operations and potentially reflects operating risk) and a leverage component (that reflects financing risk).

This paper develops numerical approximations for pricing collateralized debt obligations (CDOs) and other portfolio credit derivatives in the multifactor Normal Copula model. A key aspect of pricing portfolio credit derivatives is capturing dependence between the defaults of the elements of the portfolio. But, compared with an independent-obligor model, pricing in a model with correlated defaults is more challenging. Our approach strikes a balance by reducing the problem of pricing in a model with correlated defaults to calculations involving only independent defaults.

The article shows that two measures of the amount of private information in stock price — price nonsynchronicity and probability of informed trading (PIN) — have a strong positive effect on the sensitivity of corporate investment to stock price. Moreover, the effect is robust to the inclusion of controls for managerial information and for other information-related variables. The results suggest that firm managers learn from the private information in stock price about their own firms’ fundamentals and incorporate this information in the corporate investment decisions.