Knowledge that Transforms

Between 2009 and 2013, the Fly on the Wall (FLY) leaked 58% of recommendation revisions with a median delay of 27 minutes relative to the IBES announcement time. We show that FLY improves price discovery, but leaked recommendations hamper brokers’ ability to offer price improvement on trades routed through them. Three major brokers sued FLY; using key court dates, we show significant wealth and real effects to the brokerage industry. Overall, the speed with which analyst recommendations are disseminated has led to more rapid price discovery at the expense of a decline in the scope of the sell-side research industry.

We examine forward prices in a market where nonstorable inventory exacerbates the influence of seasonal and hourly variation in supply and demand, expected and unexpected, on the level and volatility of spot prices. We find strong evidence, unusual for a commodity, that the difference between contemporaneous forward and spot prices has power to forecast both the spot price change and the risk premium realized at delivery. Our evidence of a time-varying risk premium is consistent with expected hourly and seasonal variation in the needs of producers and retailers of electricity to hedge against extreme spot price decreases and increases, respectively.

Although venture capitalists (VCs) can choose from thousands of potential syndicate partners, many co-syndicate with small groups of preferred partners. We term these groups “VC communities.” We apply computational methods from the physical sciences to 3 decades of syndication data to identify these communities. We find that communities comprise VCs that are similar in age, connectedness, and functional style but undifferentiated in spatial location. Machine-learning tools classify communities into 3 groups roughly ordered by their age and reach. Community VC financing is associated with faster maturation and greater innovation, especially for early-stage firms without an innovation history.

We examine whether underwriters price up weakly demanded initial public offerings (IPOs) to prevent withdrawal. Our empirical strategy exploits a discontinuity in the distribution of IPO prices around the low boundary of the filing range. Offerings with a high ex ante withdrawal probability that are priced at this boundary are likely priced up to meet issuers’ reservation prices. We compare the aftermarket returns of these IPOs to the returns of other weakly demanded offerings where issuers’ reservation prices were likely not binding, and we identify a negative 8.4-percentage-point differential attributable to the aggressive pricing inherent in setting the price at the low boundary when withdrawal risk is high.

We investigate the role of extreme positive payoffs in the distribution of monthly fund returns in investors’ mutual fund preferences. We document a positive and significant relationship between the maximum style-adjusted monthly return (MAX) and future fund flows. The relationship is robust to controlling for average performance, volatility, skewness, and various other fund characteristics. Our findings are consistent with the notion that fund investors overweight the probability of high payoff states in the past return distribution. We further show that MAX is not a useful predictor of future performance and that an increase in a fund’s visibility does not explain our findings.

Though short sellers on average succeed at identifying overvalued equity, firms often signal disagreement with short sellers by repurchasing stock when short interest increases. We investigate whether this disagreement reflects a myopic defense of inflated prices, or positive private information. These repurchases appear motivated by managers’ private information, not agency issues, even when managerial benefits to short-termism are enhanced or monitoring is weaker. Managers’ informational advantage relates to subsequent news, earnings, and risk, but is attenuated if activists target management or insiders sell. A trading strategy based on our findings earns 7.5% annually.

This paper investigates the relation between media coverage and offering yield spreads using a comprehensive dataset of 5,338 industrial bonds issued from 1990 to 2011. We find that media coverage is negatively associated with firms’ cost of debt. This association is robust to controlling for standard yield determinants, different model specifications, and endogeneity. We identify 4 economic channels through which media coverage influences the cost of debt: Information asymmetry, governance, liquidity, and default risk. Importantly, media coverage has an independent influence beyond the effects of these economic mechanisms and is not a proxy for other firm attributes.

Using country- and institution-level data, we find that the “coming wave” of emerging- market (EM) investors systematically over- or underweight their equity portfolio holdings in a way that reflects the influences of past capital and trade flows from a foreign country. We interpret this finding as support for van Nieuwerburgh and Veldkamp (2009) information endowment hypothesis. Strong past capital and trade flows create an information advantage that leads EM investors to disproportionately overweight a given foreign market, even relative to developed market investor counterparts. We also pursue predictions of the information endowment hypothesis by constructing novel information-advantage proxies based on relationships among investment firms and the headquarters of their parent companies. These proxies also offer reliable explanatory power for international portfolio allocations.

We estimate a model for the term structure of discounted risk-adjusted dividend growth using prices of dividend futures for the Eurostoxx 50. A 2-factor model capturing short-term mean reversion within a year and a medium-term component reverting at the business-cycle horizon gives an excellent fit of these prices. Hence, investors update the valuation of dividends beyond the business cycle only to a limited degree. The 2-factor model, estimated on dividend futures data only, explains a large part of observed daily stock market returns. We also show that the 2 latent factors are related to various economic and financial variables.

In this article, we examine the effect of social trust on local bias. Our evidence suggests that institutional investors located in high-trust regions of the United States exhibit lower local bias. Moreover, we find that high-trust investors are better diversified, suggesting that trust helps accomplish greater diversification. The results are not due to firm, demographic, or local economic characteristics. Additional analysis reveals that the documented informational advantage in local holdings exists only in low-trust regions. We show that this finding is consistent with a trust explanation.