In this paper we propose a portfolio selection procedure specifically designed to protect investments during financial crisis periods. To this aim, we focus attention on the lower tails of the returns distributions and use a combination of statistical tools able to take into account the joint...

The most common approach for default dependence modelling is at present copula functions. Within this framework, the paper examines factor copulas, which are the industry standard, together with their latest development, namely the incorporation of sudden jumps to default instead of a pure...

In this paper, we study the so-called “wrong skewness” anomaly in Stochastic Frontiers (SF), which consists in the observed difference between the expected and estimated sign of the asymmetry of the composite error. We propose a more general and flexible specification of the SF model,...

The aim of this study is to examine the effects of business incubator programs and its services on tenant firm performance. In this context, the effect of business incubator services on firms’ survival was examined through the case of Turkey’s Business Development Centers (İŞGEMs). The...

What is the influence of syndicate organization on the duration of loan arrangement? I answer this question using the survival analysis methodology on a sample of loans from 59 countries over the 1992-2006 period. I find that syndicate size, concentration, reputation, and national diversity...

The purpose of this paper is threefold. First, it complements the many wage discrimination studies by examining exit discrimination in the NBA using a decade's worth of data (the 1980's). White players have a 36% lower risk of being cut than black players, ceteris paribus, translating into an...

We propose new specifications that explicitly account for information noise in the input data of bankruptcy hazard models. The specifications are motivated by a theory of modeling credit risk with incomplete information (Duffie and Lando [2001]). Based on over 2 million firm-months of data...

The ability of publicly available tax information to determine the survival of nonprofit organizations is analyzed. Survival analysis estimates the predictive power and hazard ratios of several financial variables. The tax information comes from the National Center for Charitable Statistics...

Survival prediction from a large number of covariates is a current focus of statistical and medical research. In this paper, we study a methodology known as the compound covariate prediction performed under univariate Cox proportional hazard models. We demonstrate via simulations and real data...

Business incubators are mechanisms which aim to formation and development of new ventures and to survive of these ventures through various supportive services. The aim of this study is to examine the effects of business incubator programs and its services on tenant firm performance in the...