The Volatility of European Banking Systems: A Two-Decade Study

This paper examines the trends and composition of volatility across European banking systems from January 1988 to December 2010. While there is no evidence of a long-term trend in the average level of banking system volatility, there is a change in its composition resulting from the growing importance of International and European nonfinancial components, especially in the largest banking systems. We argue that the changing composition of banking system volatility is the effect of a long-term integration process (with a growing importance of cross-border activities) that has not been influenced by the introduction of the Euro. Our results highlight the increasing vulnerability of the European banking systems to International and European shocks and an increasing likelihood of cross-border banking crises, and the need for regulatory reforms that focus on effective cross-border crisis management and resolution so as to safeguard the systemic stability of European banking in the near future.     

Backtesting Stochastic Mortality Models

Abstract

This study sets out a backtesting framework applicable to the multiperiod-ahead forecasts from stochastic mortality models and uses it to evaluate the forecasting performance of six different stochastic mortality models applied to English & Welsh male mortality data. The models considered are the following: Lee-Carter’s 1992 one-factor model; a version of Renshaw-Haberman’s 2006 extension of the Lee-Carter model to allow for a cohort effect; the age-period-cohort model, which is a simplified version of Renshaw-Haberman; Cairns, Blake, and Dowd’s 2006 two-factor model; and two generalized versions of the last named with an added cohort effect. For the data set used herein, the results from applying this methodology suggest that the models perform adequately by most backtests and that prediction intervals that incorporate parameter uncertainty are wider than those that do not. We also find little difference between the performances of five of the models, but the remaining model shows considerable forecast instability.     

Is sin always a sin? The interaction effect of social norms and financial incentives on market participants’ behavior

Using alcohol, tobacco, and gaming consumption data and people’s attitudes toward these sin products to proxy for social norm acceptance levels, we show a strong interaction effect between social norms and financial incentives, which significantly influence the behavior of market participants. Specifically, institutional investors’ shareholdings and analyst coverage of sin companies increase with the degree of social norm acceptance. The association between shareholdings/coverage and social norm acceptance is less pronounced for firms with higher future expected performance. Our results show that social norms and financial incentives have a powerful interaction effect in determining the behavior of market participants, suggesting that social norms can be crossed when motive and opportunity exist.