We document a seasonal pattern in stock returns around quarterly earnings announcement dates: small firms show large positive abnormal returns and a sizable increase in the variability of returns around these dates. Only part of the large abnormal returns can be accounted for by the tendency of firms with good news to announce early. Large firms show no abnormal returns around announcement dates and a much smaller increase in variability.

We develop a model of the mutual fund industry in which the management fees and loads charged by actively managed open-end funds and average fund returns are determined endogenously in a competitive market setting. It is shown that heterogeneity in managerial skills at investing and minimizing costs, and the existence of investor clienteles with differing liquidity and marketing needs, gives rise to a variety of open-end fund structures that differ in the average return delivered to investors. Managers choose a fund's structure to maximize the rents they capture from their ability, taking into account the effect on investor flows. In equilibrium, funds that constrain liquidity withdrawals may have to charge lower fees and share some profits in the form of higher investor returns, when there is relative scarcity of investors with low liquidity needs.

In this paper I develop a model of a competitive financial system with unrestricted but costly entry and an endogenously determined number of competing financial institutions (“banks” for short). Banks can make standard loans on which plentiful historical data are available and unanimous agreement exists on default probabilities. Or banks can innovate and make new loans on which limited historical data are available, leading to possible disagreement over default probabilities. In equilibrium, banks make zero profits on standard loans and positive profits on innovative loans, which engenders innovation incentives for banks. But innovation brings with it the risk that investors could disagree with the bank that the loan is worthy of continued funding and hence could withdraw funding at an interim stage, precipitating a financial crisis. The degree of innovation in the financial system is determined by this trade-off. Welfare implications of financial innovation and mechanisms to reduce the probability of crises are discussed.

Deregulation significantly affects the firms’ operating environment and leverage decisions. Firms experience a significant decline in profitability, asset tangibility and a significant increase in growth opportunities following deregulation. Firms respond by reducing leverage. Deregulation also significantly affects the cross-sectional relation between leverage and its determinants. Leverage is much less negatively correlated with profitability and market-to-book and much more positively (negatively) correlated with firm size (earnings volatility) following deregulation. These results are consistent with the dynamic tradeoff theory of capital structure. Also consistent with the dynamic tradeoff theory, those firms that are more likely to be above their target capital structure issue significantly more equity in the first few years following deregulation.

Insider trading in the credit derivatives market has become a significant concern for regulators and participants. This paper attempts to quantify the problem. Using news reflected in the stock market as a benchmark for public information, we find significant incremental information revelation in the credit default swap market under circumstances consistent with the use of non-public information by informed banks. The information revelation occurs only for negative credit news and for entities that subsequently experience adverse shocks, and increases with the number of a firm's relationship banks. We find no evidence, however, that the degree of asymmetric information adversely affects prices or liquidity in either the equity or credit markets.

We show that macroeconomic growth at the end of the year (fourth quarter or December) strongly influences expected returns on risky financial assets, whereas economic growth during the rest of the year does not. We find this pattern for many different asset classes, across different time periods, and for US and international data. We also show that movements in the surplus consumption ratio of Campbell and Cochrane (1999), a theoretically well-founded measure of time-varying risk aversion linked to macroeconomic growth, influence expected returns stronger during the fourth quarter than the other quarters of the year. Our findings suggest that expected returns, risk aversion, and economic growth are particularly related at the end of the year, when we also expect consumers׳ portfolio adjustments to be concentrated.

We show that eurozone bank risks during 2007–2013 can be understood as carry trade behavior. Bank equity returns load positively on peripheral (Greece, Italy, Ireland, Portugal, Spain, or GIIPS) bond returns and negatively on German government bond returns, which generated carry until the deteriorating GIIPS bond returns adversely affected bank balance sheets. We find support for risk-shifting and regulatory arbitrage motives at banks in that carry trade behavior is stronger for large banks and banks with low capital ratios and high risk-weighted assets. We also find evidence for home bias and moral suasion in the subsample of GIIPS banks.

Ties between similar partners in economic and financial networks are often attributed to concerns about agency costs. In this paper, we distinguish the underlying motives for tie formation between sets of potential partners in the network, thus informing the relative importance of agency cost and resource accumulation in tie formation across firms. We develop a robust and generalizable methodology that allows for the inference of similarity and/or cumulative advantage motives in the potential presence of resource trading. We estimate the model using venture capital (VC) co-investment networks, employing factor analysis to characterize orthogonal, interpretable resources for VC firms. In the VC setting, value-added resources other than capital appear to be exchanged for capital, but not for one another. We find little evidence for similarity motives as the primary driver of matching, suggesting that concerns over agency conflicts in partnering are dominated by the desire to accumulate higher levels of certain resources.

We present evidence that individuals make political contributions strategically by targeting politicians with power to affect their economic well-being. Individuals in Congressional districts with greater industry clustering choose to support politicians with jurisdiction over the industry. Importantly, individual political contributions are associated with improvements in operating performance of firms in industry clusters. The relation between contributions and firm performance is strongest for poorly performing firms, firms closer to financial distress, and for contributions in close elections. The results imply that individual political contributions are valuable to firms, especially during bad economic times.

Integrated risk management for financial institutions requires an approach for aggregating risk types (market, credit, and operational) whose distributional shapes vary considerably. We construct the joint risk distribution for a typical large, internationally active bank using the method of copulas. This technique allows us to incorporate realistic marginal distributions that capture essential empirical features of these risks such as skewness and fat-tails while allowing for a rich dependence structure. We explore the impact of business mix and inter-risk correlations on total risk. We then compare the copula-based method with several conventional approaches to computing risk.