Although domestic mergers and acquisitions (M&As) in the financial services industry have increased steadily over the past two decades, international M&As were until recently relatively rare. Moreover, the share of cross-border mergers in the banking industry is low compared with other industries. This paper uses a novel dataset of over 3000 mergers that took place between 1985 and 2001 to analyze the determinants of international bank mergers. We test the extent to which information costs and regulations hold back merger activity. Our results suggest that information costs significantly impede cross-border bank mergers. Regulations also influence cross-border bank merger activity. Hence, policy makers can create environments that encourage cross-border activity, but information cost barriers must be overcome even in (legally) integrated markets.

We survey the most recent BIS proposals for the credit risk measurement of retail credits in capital regulations. We also describe the recent trend away from relationship lending toward transactional lending in the small business loan arena. These trends create the opportunity to adopt more analytical, data-based approaches to credit risk measurement. We survey proprietary credit scoring models (such as Fair Isaac), as well as options-theoretic structural models (such as KMV and Moody’s RiskCalc), and reduced-form models (such as Credit Risk Plus). These models allow lenders and regulators to develop techniques that rely on portfolio aggregation to measure retail credit risk exposure.