Using country index returns from 8 developed countries and 8 emerging market countries, we re-explore the benefits to international diversification over the past 30 years. To examine various theories in a comparable way, we intentionally limited ourselves to an examination of country index returns and a limited number of types of investments.
We propose a tractable, data-driven demand estimation procedure based on the use of maximum entropy (ME) distributions, and apply it to a stochastic capacity control problem motivated from airline revenue management. Specifically, we study the two fare-class "Littlewood" problem in a setting where the firm has access to only potentially censored sales observations. We propose a heuristic that iteratively fits an ME distribution to all observed sales data, and in each iteration selects a protection level based on the estimated distribution.
We propose a simple approach to dynamic multi-period portfolio choice with quadratic transaction costs. The approach is tractable in settings with a large number of securities, realistic return dynamics with multiple risk factors, many predictor variables, and stochastic volatility. We obtain a closed-form solution for a trading rule that is optimal if the problem is restricted to a broad class of strategies we define as "linearity generating strategies" (LGS).
Many factors introduce the prospect of changes for the demand environment that a firm faces, with the specifics of such changes not necessarily known in advance. If and when realized, such changes affect the delicate balance between demand and supply and thus should be anticipated to the extent possible. We study the dynamic pricing problem of a retailer facing the prospect of a change in the demand function during a finite selling season with no inventory replenishment opportunity.
We propose an approach for using individual-level data on social interactions (e.g., number of recommendations received by consumers, number of recommendations given by adopters, number of social ties) to improve the aggregate penetration forecasts made by extant diffusion models. We capture social interactions through an individual-level hazard rate in such a way that the resulting aggregate penetration process is available in closed form and nests extant diffusion models.
We use panel data to examine the prediction of Merton's intertemporal CAPM that time varying risk premiums arise from the conditional covariances of returns on assets with the return on the market. We find a positive and significant risk-return tradeoff that is driven by the time series variation in the conditional covariances, and the risk-premium on the market remains positive and significant after controlling for additional state-variables. Our estimation method allows us to estimate the risk-return tradeoff in the ICAPM using a large number of test assets.
We examine changes in banks' market-to-book ratios over the last decade, focusing on the dramatic and persistent declines witnessed during the financial crisis. The extent of the decline and its persistence cannot be explained by the delayed recognition of losses on existing financial instruments. Rather, it is declines in the values of intangibles — including customer relationships and other intangibles related to business opportunities — along with unrecognized contingent obligations that account for most of the persistent decline in market-to-book ratios.