The asymptotic single risk factor approach is a framework for determining regulatory capital charges for credit risk, and it has become an integral part of the second Basel Accord. Within this approach, a key parameter is the average asset correlation. We examine the empirical relationship between this parameter, firm probability of default and firm asset size measured by the book value of assets. Using data from year-end 2000, credit portfolios consisting of US, Japanese, and European firms are analyzed. The empirical results suggest that average asset correlation is a decreasing function of probability of default and an increasing function of asset size. The results suggest that these factors may need to be accounted for in the final calculation of regulatory capital requirements for credit risk.

According to conventional theory, insurance premiums should be informationally efficient predictors of the present value of policy claims and expenses. This paper develops an alternative theory of insurance market dynamics based on two assumptions. First, insured risks are dependent. Under this assumption, insurers′ net worth determines the market capacity since it is necessary to back the contractual promises to pay claims. Second, in raising net worth, external equity is more costly than internal equity. The theory explains the variation in premiums and insurance contracts over the "insurance cycle" and is supported by tests on postwar data. Journal of Economic Literature Classification Numbers: G1, G22.

Our analysis suggests that boards focus on deviation from expected performance, rather than performance alone, in making the CEO turnover decision, especially when there is agreement (less dispersion) among analysts about the firm's earnings forecast or there are a large number of analysts following the firm. In addition, our results suggest that boards are more likely to appoint a CEO that will change firm policies and strategies (i.e., an outsider) when forecasted 5-year EPS growth is low and there is greater uncertainty (more dispersion) among analysts about the firm's long-term forecasts.

Utilizing transaction-level financial data, we explore how household consumption responded to the onset of the COVID-19 pandemic. As case numbers grew and cities and states enacted shelter-in-place orders, Americans began to radically alter their typical spending across a number of major categories. In the first half of March 2020, individuals increased total spending by over 40% across a wide range of categories. This was followed by a decrease in overall spending of 25%–30% during the second half of March coinciding with the disease spreading, with only food delivery and grocery spending as major exceptions to the decline. Spending responded most strongly in states with active shelter-in-place orders, though individuals in all states had sizable responses. We find few differences across individuals with differing political beliefs, but households with children or low levels of liquidity saw the largest declines in spending during the latter part of March.

We assess issues related to borrower beliefs and mortgage performance using new individual panel data that simultaneously cover borrower expectations, forbearance status during the COVID-19 pandemic, and a wide array of demographic characteristics. First, we establish the determinants of borrower expectations, with local experiences and those of social networks playing important roles. We then show that households who, at origination, were optimistic about future house price appreciation or pessimistic about the possibility of future unemployment were more likely to enter forbearance in 2020. However, by early 2021, appreciation-optimistic borrowers who were in forbearance were likely to have cured or prepaid their loan, while those who expected unemployment were likely to still be in forbearance. We offer three channels by which expectations affect forbearance behavior: choices of initial loan terms, associations with actual future events, and factors related to belief formation that are also plausibly associated with forbearance. Our findings highlight the crucial role borrower expectations play in both leverage choices and mortgage performance.