This paper analyzes how combining firms into either groups or conglomerates affects their credit standing, as measured by their de- fault probabilities, recovery rates and credit spreads. Each combina- tion offers protection against default to its affiliates, and issues debt to optimize the...

We propose a flexible stochastic framework for modeling the market share dynamics over time in a multiple markets setting, where firms interact within and between markets. Firms undergo stochastic idiosyncratic shocks, which contract their shares, and compete to consolidate their position by...

Household portfolios include risky bonds, beyond stocks, and respond to permanent labour income shocks. This paper brings these features into a life-cycle setting, and shows that optimal stock investment is constant or increasing in age before retirement for realistic parameter combinations. The...

This paper examines the ex-post performance of optimal portfolios with predictable returns, when the investor horizon ranges from one month to ten years. Due to the investor's ability to anticipate shifts from bull to bear markets, predictability involves the risk premium, volatility and...

Recent research [e.g., DeMiguel, Garlappi and Uppal, (2009a), Rev. Fin. Studies] has cast doubts on the out-of-sample performance of optimizing portfolio strategies relative to a naive, equally-weighted ones. However, most of the existing results concern the simple case in which an investor has...

Do equity markets help diversifying away industry-related labor income risk? This paper reconsiders the hedging role of stock markets by focusing on international equity diversification, rather than domestic asset allocation, and on industry wage, rather than individual labor income. We test for...

This paper develops a theory of corporate ownership and leverage of multi- ple firms under a tax-bankruptcy trade-off, allowing for internal bailouts. It then questions whether tax policy contributes to the default of the resulting complex or- ganization. Absent other taxes and non-financial...

The study of properties of mean functionals of random probability measures is an important area of research in the theory of Bayesian nonparametric statistics. Many results are known by now for random Dirichlet means but little is known, especially in terms of posterior distributions, for...

A Bayesian nonparametric methodology has been recently proposed in order to deal with the issue of prediction within species sampling problems. Such problems concern the evaluation, conditional on a sample of size n, of the species variety featured by an additional sample of size m. Genomic...

An important issue in survival analysis is the investigation and the modeling of hazard rates. Within a Bayesian nonparametric framework, a natural and popular approach is to model hazard rates as kernel mixtures with respect to a completely random measure. In this paper we provide a...