This study investigates the effects of financial statement comparability on corporate expected default risk (EDF). Based on three different comparability measures, we find that financial statement comparability is negatively related to the EDF in the current and subsequent periods. This negative...

The Center for Financial Stability (CFS) has initiated a new Divisia monetary aggregates database, maintained within the CFS program called Advances in Monetary and Financial Measurement (AMFM). The Director of the program is William A. Barnett, who is the originator of Divisia monetary...

This paper evaluates the role of centralized punishment in boosting contribution to the provision of public goods. To avoid the race to the bottom in the provision of public goods, this centralized punishment mechanism relies on the use of the unilateral and tie punishment imposed on the lowest...

We present an experiment that models a repeated public good provision setting where the policy maker or manager does not have perfect control over information flows. Rather, information seeking can be affected by changing the information default as well as the price of information. The default...

Bull and bear market identification generally focuses on a broad index of returns through a univariate analysis. This paper proposes a new approach to identify and forecast bull and bear markets through multivariate returns. The model assumes all assets are directed by a common discrete state...

This paper proposes a class of models that jointly model returns and ex-post variance measures under a Markov switching framework. Both univariate and multivariate return versions of the model are introduced. Bayesian estimation can be conducted under a fixed dimension state space or an infinite...

Variance estimation is central to many questions in finance and economics. Until now ex-post variance estimation has been based on infill asymptotic assumptions that exploit high-frequency data. This paper offers a new exact finite sample approach to estimating ex-post variance using Bayesian...