We rely on a model with incomplete contracts and bargaining power to argue that trade credit (TC) can serve as a commitment device for making relationship-specific investments (RSIs). Unlike existing theories, we explain within a single theoretical framework why TC is affected by firms’ bargaining power and by the specialized nature of transacted goods. Using a large panel of publicly listed firms and innovation-based proxies for RSI, we find strong support for the model’s predictions: TC increases in upstream firm’s RSI and downstream firm’s market power. Endogeneity concerns are addressed by using the passage of innovation-increasing state laws to instrument for RSI and import penetration to instrument for bargaining power.

Using a broad sample of international corporate bond offerings, we provide evidence that corporate borrowers make opportunistic currency choices, in that they denominate the currency of their bonds in a manner that is inconsistent with a belief in either covered or uncovered interest rate parity. Using firm-level tests, we identify a number of characteristics of firms that engage in opportunistic behavior. We observe that large issuers located in developed markets with investment-grade ratings and low cash flow characterize those firms that are responsive to covered borrowing rate differences across currencies. Corporate responsiveness to uncovered borrowing rate differences appears more general. We observe that although the gains firms achieve through opportunistic currency denomination are economically significant, the yield differential tends to systematically decline after issuance. This finding suggests that opportunistic issuance by corporations may be a primary mechanism for driving covered interest yields toward parity.

Despite the size and importance of separately managed accounts (SMAs) and collective investment trusts, their characteristics and performance have not been studied in detail. We show that separate account performance is similar to that of index funds and superior to that of actively managed mutual funds. Management supplies a benchmark for each separate account. When the management-selected benchmark is used to measure performance, performance is significantly overstated. Despite this, investors react to differences in performance from the management-preferred benchmark in choosing among SMAs. Finally we find variables that explain both the cross section of alphas and the cross section of cash flows.

In this paper, the authors use monthly holdings to study timing ability. These data differ from holdings data used in previous studies in that the authors’ data have a higher frequency and include a full range of securities, not just traded equities. Using a one-index model, the authors find, as do two recent studies, that management appears to have positive and statistically significant timing ability. When a multiindex model is used, the authors show that timing decisions do not result in an increase in performance, whether timing is measured using conditional or unconditional sensitivities. The authors show that sector rotation decisions with respect to high-tech stocks are a major contribution to negative timing.

Edwin J. Elton, Martin J. Gruber, Christopher R. Blake; Common Factors in Active and Passive Portfolios, European Finance Review, Volume 3, Issue 1, 1 Janu

Close to 30% of the US population experiences at least one mental or substance abuse disorder each year. Given the prevalence of mental health issues, this paper analyzes the role of mental health and cognitive functioning in household portfolio choice decisions. Generally, we find that households affected by mental health issues decrease investments in risky instruments. Various mental health issues can reduce the probability of holding risky assets by up to 19%. Moreover, single women diagnosed with psychological disorders increase investments in safe assets. We also find that cognitive functioning issues are associated with an increase in financial assets devoted to retirement accounts.

We study the influence of multi-sector conglomerate firms on sectoral comovement. Using an innovative network model of firms and industries, we derive a novel measure of the co-concentration of industries in which two industries are more co-concentrated if they share greater exposure to the same conglomerate firms. Using time-series, cross-sectional, and longitudinal tests on establishment-level data from nearly all US firms over 1991 to 2019, we find that industries with higher co-concentration exhibit stronger comovement in employment, sales, and asset growth. Controlling for alternative explanations, a one-standard deviation increase in co-concentration corresponds to a 0.32-standard deviation increase in the comovement of employment growth. In variance-covariance decompositions, we find that firm-specific shocks explain nearly half of aggregate volatility and industry comovement and that conglomerates play a significant role in sectoral comovement. Our framework helps explain how idiosyncratic, firm-level shocks contribute to aggregate fluctuations and influence business cycles.

Hedge fund activism is associated with improvements in the governance and performance of targeted firms. In this article, we show that these positive effects of activism reach beyond the targets, as nontargeted peers make similar improvements under the threat of activism. Peers with higher threat perception, as measured by director connections to past targets, are more likely to increase leverage and payout, decrease capital expenditures and cash, and improve return on assets and asset turnover. As a result, their valuations improve, and their probability of being targeted declines. Our results are not explained by time-varying industry conditions or competition effects whereby improved targets force their product market rivals to become more competitive.

We propose a new methodology for modeling and estimating time-varying downside risk and upside uncertainty in equity returns and for assessment of risk–return trade-off in financial markets. Using the salient features of the binormal distribution, we explicitly relate downside risk and upside uncertainty to conditional heteroskedasticity and asymmetry through binormal GARCH (BiN-GARCH) model. Based on S&P 500 and international index returns, we find strong empirical support for existence of significant relative downside risk, and robust positive relationship between relative downside risk and conditional mode.

In the Australian real estate market, about a third of properties are sold at auction. Properties that fail auctions sell later for a 1.3 percent discount. Consistent with a causal channel, the effect holds with property-level fixed effects and when auction failure is instrumented by adverse weather or seller overvaluation. Prices cluster below round numbers, and the discount fades over time, inconsistent with our effects reflecting unobserved property characteristics. The evidence suggests that there are behavioral factors affecting the valuations of buyers and sellers.