A stronger long-term orientation is considered a competitive advantage of family firms relative to non-family firms. In this study, we use panel data of U.S. firms and analyze this proposition. Our findings are surprising. Only in when the family is involved in the management of the firm is the...

Estimation risk is known to have a huge impact on mean/variance (MV) optimized portfolios,which is one of the primary reasons to make standard Markowitz optimization unfeasible inpractice. Several approaches to incorporate estimation risk into portfolio selection are suggestedin the earlier...

This paper introduces an expected value estimator with expert knowledge to the robust estimation of sovereign rating transitions which are characterised by few observations. Ourestimates of default premia within Mexican, Colombian and Brazilian Eurobond yield spreads provide a better fit than...

Bayesian Model Averaging (BMA) has recently been discussed in the financial literature as an effective way to account for model uncertainty. In this paper we compare BMA to a new model uncertainty framework introduced by Yang (2004), called Aggregate Forecasting Through Exponential Reweighting,...

In the social sciences, it is often useful to introduce latent variables and usestructural equation modeling to quantify relations among observable and latentvariables. Data gathered through surveys is frequently ordinal in nature, asLikert-scale type questions are used in most questionnaires....

Objective of this paper is to enhance the understanding of modelling jumpsand to analyse the model risk based on the jump component in electricity markets.We provide a common modelling framework that allows to incorporate the main jumppatterns observed in electricity spot prices and compare the...

Why should risk management systems account for parameter uncertainty? In order to answer this question, this paper lets an investor in a credit portfolio face non-diversifiable estimation-driven uncertainty about two parameters: probability of default and asset-return correlation. Bayesian...

We measure labor market frictions using a strategy that bridges design-based and structuralapproaches: estimating an equilibrium search model using reduced-form minimum wageelasticities identified from border discontinuities and fitted with Bayesian and LIML methods.We begin by providing the...

We use information from two prospective British birth cohort studies to explorethe antecedents of adult malaise, an indicator of incipient depression. Thesestudies include a wealth of information on childhood circumstances, behaviour,test scores and family background, measured several times...