In this paper, we examine the links among banking supervision, the volatility of financial flows, and economic growth. In particular, we explore whether banking regulation mitigates the adverse effects of capital flows volatility on economic growth. Using cross-country data over four decades, we find that banking supervision promotes economic growth by dampening the negative impact of volatile capital flows. The findings hold for both aggregate capital flows and its various components, and for both its net and gross counterparts, while they are also robust for various indicators of regulatory policies. The results support the argument that bank regulatory policy rules designed to ensure financial stability are beneficial to long-run economic growth.

We examine the relation between firms' voluntary guidance and mandatory 8K filings. We find a negative relation between guidance and 8Ks, which strengthens following the 2004 expansion of mandatory 8K requirements, consistent with firms using the disclosures as substitutes. Increases in 8Ks coincide with declines in firms’ profits, but this negative relation weakens after the 2004 regulation, consistent with firms broadening the scope of information conveyed through 8Ks. Together, our findings suggest firms became more reliant on 8Ks to convey general types of information after the 2004 regulation, rather than primarily negative news, which reduces their incentives to issue guidance.

Financial institutions are financed by both investors and customers. Investors expect an appropriate risk-adjusted return for providing financing and risk bearing. Customers, in contrast, provide financing in exchange for specific services, and want the service fulfillment to be free of the intermediary's credit risk. We develop a framework that defines the roles of customers and investors in intermediaries, and use it to build an economic theory that has the following main findings. First, with positive net social surplus in the intermediary-customer relationship, the efficient (first best) contract completely insulates the customer from the intermediary's credit risk, thereby exposing the customer only to the risk inherent in the contract terms. Second, when intermediaries face financing frictions, the second-best contract may expose the customer to some intermediary credit risk, generating “customer contract fulfillment” costs. Third, the efficiency loss associated with these costs in the second best rationalizes government guarantees like deposit insurance even when there is no threat of bank runs. We further discuss the implications of this customer-investor nexus for numerous issues related to the design of contracts between financial intermediaries and their customers, the sharing of risks between them, ex ante efficient institutional design, regulatory practices, and the evolving boundaries between banks and financial markets.

This paper investigates whether the institutional affiliation of a collateralized loan obligation (CLO) manager influences the manager's access to information and risk appetite. We find that CLO managers affiliated with banks start to sell off their positions in loans arranged by their bank well before the onset of default. In contrast, CLO managers affiliated with nonbanks do not lower their exposures to distressed loans. These findings are consistent with bank-affiliated CLO managers being more risk averse, but they could also derive from them having access to valuable information. On close inspection, we find that although bank-affiliated CLO managers are averse to holding any distressed loans, they are also more aggressive at divesting distressed loans arranged by their parent bank, suggesting that they benefit from an information wedge. Besides helping us understand CLO managers’ trading activities, our findings highlight a potential limit to banks’ ability to originate loans and distribute them via their affiliated CLOs.

From 2007 to 2016, S&P 500 firms distributed $7 trillion via buybacks and dividends, over 96% of their aggregate net income, prompting claims that “short-termism” is impairing firms’ ability to invest and innovate. We show that, accounting for both direct and indirect equity issuances, net shareholder payouts by all public firms during this period totaled only 41% of net income. And, during this decade, investment substantially increased while cash balances ballooned. In short, S&P 500 shareholder-payout figures cannot provide much basis for the notion that short-termism has been depriving public firms of needed capital. Received September 23, 2018; Editorial decision November 13, 2018; Editor Andrew Ellul

In 2012, JPMorgan accumulated a USD 6.2 billion loss on a credit derivatives portfolio, the so-called “London Whale”, partly as a consequence of de-correlations of non-perfectly correlated positions that were supposed to hedge each other. Motivated by this case, we devise a factor model for correlations that allows for scenario-based stress testing of correlations. We derive a number of analytical results related to a portfolio of homogeneous assets. Using the concept of Mahalanobis distance, we show how to identify adverse scenarios of correlation risk. In addition, we demonstrate how correlation and volatility stress tests can be combined. As an example, we apply the factor-model approach to the “London Whale” portfolio and determine the value-at-risk impact from correlation changes. Since our findings are particularly relevant for large portfolios, where even small correlation changes can have a large impact, a further application would be to stress test portfolios of central counterparties, which are of systemically relevant size.

Social media platforms are becoming increasingly important channels for information dissemination. This study examines how microblogging by top executives affects the information environment for listed firms in an emerging market. Using a manually collected data set of Sina Weibo, one of China's most popular and largest social media platforms, we find that a board chair having a Weibo account is associated with the dissemination of more firm-specific information to the capital market. This result holds up to a battery of robustness tests, including an alternative noise-trading explanation and alternative measures of information flows and definitions of Weibo usage. We also show that the relationship between board chairs' Weibo usage and information dissemination is stronger for smaller firms, firms that went public more recently, and firms characterized by less analyst coverage. In addition, Weibo usage primarily disseminates firm-specific news rather than industry news. Finally, we document that institutional trading is an important channel through which private information is incorporated into stock prices. Findings in this study have important implications for the understanding of the role of social media in the dissemination process of corporate information and corporate communication strategy.

This paper uses earnings announcements to analyze the trading behavior and associated price impacts of institutions that have a lending or underwriting relationship with client firms and also hold client firms' shares. Buying support from relationship institutions mitigates the negative impact of earnings surprises on client firms' stock prices, predicts subsequent negative earnings surprises, and is also associated with less selling by independent institutions holding the same firms' shares. Price reactions for firms without relationship institutions are significantly larger. Price support from relationship institutions appears to help resolve uncertainty accompanying clients' temporary earnings shocks, thus reducing noise in the capital markets.

This paper introduces the formal study of process flexibility to the novel domain of sports analytics. In baseball, positional flexibility is the analogous concept to process flexibility from manufacturing. We study the flexibility of players (plants) on a baseball team who produce innings-played at different positions (products). We develop models and metrics to evaluate expected and worst-case performance under injury risk (capacity uncertainty) with continuous player-position capabilities. Using Major League Baseball data, we quantify the impact of flexibility on team and individual performance and explore the player chains that arise when injuries occur. We discover that top teams can attribute at least one to two wins per season to flexibility alone, generally as a result of long subchains in the infield or outfield. The least robust teams to worst-case injury, those whose performance is driven by one or two star players, are over four times as fragile as the most robust teams. We evaluate several aspects of individual flexibility, such as how much value individual players bring to their team in terms of average and worst-case performance. Finally, we demonstrate the generalizability of our framework for player evaluation by quantifying the value of potential free agent additions and uncovering the true “MVP” of a team. Data are available at https://doi.org/10.1287/mnsc.2017.3004 . This paper was accepted by Vishal Gaur, operations management.

Active corporate executives are a popular source of independent directors. Although their knowledge, expertise, and network can bring value to firms on whose boards they sit, independent executive directors may be more likely to be distracted than other directors due to their outside executive roles. Using newly constructed data linking independent directors to their employers, we identify periods when employers' poor performance may distract them from board service. We find that firms with distracted independent executive directors have lower performance and value, higher CEO compensation, reduced CEO turnover-performance sensitivity, lower earnings quality, and lower M&A performance. These adverse effects are mainly driven by distracted directors who sit on relevant committees, and are stronger for small boards.