PREDICTING SYSTEMATIC RISK WITH MACROECONOMIC AND FINANCIAL VARIABLES

We analyze the predictive power of several macroeconomic and financial indicators in forecasting quarterly realized betas of 30 industry and 25 size and book-to-market portfolios. We model realized betas as autoregressive processes of order 1 and include lagged values of macroeconomic and financial indicators as exogenous predictor variables. In out-of-sample forecasting exercises, forecasts using bond market variables as exogenous predictors statistically outperform forecasts from a benchmark model without any exogenous predictors. These forecasts based on bond market variables also economically outperform benchmark forecasts by providing better performance in hedging the market risk of portfolios.     

Regulate one service,tame the entire market: Credit cards in Turkey

In credit card markets banks provide both payment and credit services. Two regulations were recently enacted in the Turkish credit card market: one on payment services in 2005 and the other on credit services in 2006. By employing the well-known  and  method and a unique quarterly data set for 21 Turkish banks between 2002 and 2008, we investigate the extent of banks’ market power in the Turkish credit card market before and after the regulations. Unlike most of the existing literature, which considers competition and regulation for either credit or payment services and ignores the externalities between them, we consider the entire market by taking both services into account. Fixed effects estimations reveal that banks enjoyed collusive oligopoly power before the regulations. Although the first regulation did not have much impact, the second led to rises in both banks’ total revenues and competition in the entire market.