This paper presents estimates of key preference parameters of the Epstein and Zin (1989, 1991) and Weil (1989) (EZW) recursive utility model, evaluates the model’s ability to fit asset return data relative to other asset pricing models, and investigates the implications of such estimates for...

This paper develops a new estimation procedure for characteristic-based factor models of security returns. We treat the factor model as a weighted additive nonparametric regression model, with the factor returns serving as time-varying weights, and a set of univariate non-parametric functions...

This paper proposes an approach to estimating the relation between risk (conditional variance) and expected returns in the aggregate stock market that allows us to escape some of the limitations of existing empirical analyses. First, we focus on a nonparametric volatility measure that is void of...

The estimation of the profit and loss distribution of a loan portfolio requires the modelling of the portfolio’s multivariate distribution. This describes the joint likelihood of changes in the credit-risk quality of the loans that make up the portfolio. A significant problem for portfolio...

This paper presents the Conditional Probability of Default (CoPoD) methodology for modelling the probabilities of loan defaults (PoDs) by small and medium size enterprises (SMEs) and unlisted firms as functions of identifiable macroeconomic and financial variables. The process of modelling PoDs...

This paper analyzes the welfare effects of economic transparency in the conduct of monetary policy. We propose a model of monopolistic competition with imperfect common knowledge on the shocks affecting the economy where the central bank has no inflationary bias. In this context, monetary policy...

Recovery rates are negatively related to default probabilities (Altman et al., 2005). This paper proposes and estimates a model in which this dependence is the result of an unobserved credit cycle: When times are bad, the default probability is high and recovery rates are low; when times are...

Prediction markets are online trading platforms where contracts on future events are traded with payoffs being exclusively linked to event occurrence. Scientific research has shown that market prices of such contracts imply high forecasting accuracy through effective information aggregation of...

Accounts of the crisis have privileged 'high finance' innovations whereas retail banks constantly experimented with how they sell (new) products to consumers. I examine the case of product innovation at a home savings bank in Hungary during the pre-crisis credit boom. Turned from offering...