Stocks with increases in idiosyncratic risk tend to earn low subsequent returns for a few months. However, high idiosyncratic risk stocks eventually earn persistently high returns. These results are consistent with positively priced idiosyncratic risk and temporary underreaction to idiosyncratic risk innovations. Because risk levels and innovations are correlated, the relation between historical idiosyncratic risk and returns may reflect both risk premiums and underreaction and yield misleading inference regarding the price of risk. The results reconcile previous work offering conflicting evidence on the price of idiosyncratic risk and help to discriminate among explanations for the idiosyncratic risk-return relation.

This study investigates the time‐series trend and determinants of matching between revenues and expenses in a sample of 42 countries. We find that the decline in matching documented by Dichev and Tang ( ) is not unique to the United States, but is a worldwide phenomenon. Our results show that matching is weaker in countries with (i) wider use of accrual accounting; (ii) a larger proportion of firms reporting significant special items; (iii) slower economic growth; (iv) more research and development activities; (v) larger service sectors; and (vi) stronger investor protection. We find no evidence that mandatory adoption of International Financial Reporting Standards affects matching. Changes in accounting and economic factors collectively explain the downward trend in matching. Overall, the results suggest that both accounting and economic factors are important determinants of matching over time and across countries.

Young Americans are heavily reliant on debt and have clear financial literacy shortcomings. In this paper, we study the effects of exposure to financial training on debt outcomes in early adulthood among a large and representative sample of young Americans. Variation in exposure to financial training comes from statewide changes in high school graduation requirements. Using a flexible event study approach, we find that both mathematics and financial education, by and large, decrease reliance on nonstudent debt and improve repayment behavior. Economics training, on the other hand, increases both the likelihood of holding outstanding debt and the prevalence of repayment difficulties.

In U.S. data 1981–2012, unsecured firm credit moves procyclically and tends to lead GDP, while secured firm credit is acyclical; similarly, shocks to unsecured firm credit explain a far larger fraction of output fluctuations than shocks to secured credit. In this article, we develop a tractable dynamic general equilibrium model in which unsecured firm credit arises from self-enforcing borrowing constraints, preventing an efficient capital allocation among heterogeneous firms. Unsecured credit rests on the value that borrowers attach to a good credit reputation which is a forward-looking variable. We argue that self-fulfilling beliefs over future credit conditions naturally generate endogenously persistent business-cycle dynamics. A dynamic complementarity between current and future borrowing limits permits uncorrelated sunspot shocks to unsecured debt to trigger persistent aggregate fluctuations in both secured and unsecured debt, factor productivity, and output. We show that these sunspot shocks are quantitatively important, accounting for around half of output volatility.

We examine whether religion affects the terms of bank loans. We hypothesize that lenders value the traits of religious adherents, such as risk aversion, ethical behavior and honesty, and thus offer favorable loan terms to religious borrowers. Consistent with this hypothesis, we find that corporate borrowers located in counties with a high level of religiosity are charged lower interest rates, have larger loan amounts and fewer loan covenants. These results suggest that the corporate culture of borrowers influences the availability and cost of bank loans.

More than three-quarters of U.S. households bear consumer debt, yet we have little understanding of the relationship between financial education and the debt behavior of U.S. consumers. In this paper, we study the effects of exposure to financial training on debt outcomes in early adulthood. Identification comes from variation in financial literacy, economics, and mathematics course offerings and graduation requirements mandated over the 1990s and 2000s by state-level high-school curricula. The FRBNY Consumer Credit Panel provides debt outcomes based on quarterly Equifax credit reports from 1999 to 2012. Our analysis, based on a flexible event-study approach, reveals significant effects of financial education on debt-related outcomes of youth. On the extensive margin, financial literacy education has a sizable impact on the propensity of youth having a credit report. Conditional on having a credit report, on the intensive margin, math and financial literacy education exposure reduces the incidence of adverse outcomes - such as accounts in collections and delinquent accounts - and reduces both the likelihood of youth carrying debt and their average debt balances. The net effect of both math and financial literacy education is an increase in youths' average creditworthiness, as measured by the Equifax risk score. On the other hand, economic education increases the likelihood of individuals carrying balances, leads to significant increases in debt balances - in particular, debt used to support consumption - and, at the same time, increases the likelihood of adverse credit outcomes, leading to a decline in youths' average risk scores. The effects of these financial education policies accumulate over the course of early adulthood. Our results suggest that financial education programs, increasingly promoted by policymakers, are likely to have significant impacts on the financial decision-making of youth, but the effects depend on the content of these programs.

Lévy subordinated hierarchical Archimedean copulas (LSHAC) are flexible models in high dimensional modeling. However, there is limited literature discussing their applications, largely due to the challenges in estimating their structures and their parameters. In this paper, we propose a three-stage estimation procedure to determine the hierarchical structure and the parameters of a LSHAC. This is the first paper to empirically examine the modeling performances of LSHAC models using exchange traded funds. Simulation study demonstrates the reliability and robustness of the proposed estimation method in determining the optimal structure. Empirical analysis further shows that, compared to elliptical copulas, LSHACs have better fitting abilities as well as more accurate out-of-sample Value-at-Risk estimates with less parameters. In addition, from a financial risk management point of view, the LSHACs have the advantage of being very flexible in modeling the asymmetric tail dependence, providing more conservative estimations of the probabilities of extreme downward co-movements in the financial market.