Sell-side analysts rate on a particular type of behavioral curve: recency. Although they claim to use objective criteria (like expected raw, market-adjusted, or industry-adjusted returns), we find that, even after controlling for these claims, their recommendations on a particular stock are negatively influenced by their assessment of the quality of the few other stocks they have rated that month. This recency bias has price implications. The next day's alpha of a sophisticated trading strategy that incorporates this bias is about 40 % higher compared to the alpha of an unsophisticated strategy that uses rating information only.

This article examines whether foreign investor heterogeneity plays a role in stock liquidity in a sample of 27,828 firms from thirty-nine countries worldwide. Foreign direct ownership is negatively associated with stock liquidity, while foreign portfolio ownership is positively associated with stock liquidity. Consistent with theoretical predictions, foreign ownership explains stock liquidity through both trading activity and information channels. The value-enhancing benefits of foreign direct investors’ monitoring efforts outweigh their liquidity costs and high adverse selection premium. However, the positive impact of foreign portfolio ownership on firm performance becomes negative and is not robustly significant after controlling for liquidity.

We examine how firms respond to requests for enhanced disclosure that we make on an online investor platform. Exploiting variation in firms' customer and supplier disclosures, we ask a randomized set of non-disclosing firms to provide information on their customers' and suppliers' identities. We find that the firms' probability of disclosure depends on the basis we give for the demand—requests appealing to disclosure's usefulness to investors lead to more frequent disclosure, while those appealing to regulators' preference for disclosure lead to less frequent disclosure. The requests we make on the platform lead to more frequent customer- and supplier-related inquiries from other platform users. We also find that the treatment firms' disclosure of customer and supplier information improves in the next period's regulatory filings. The findings suggest that investor platforms can enhance corporate transparency by increasing retail investors' ability to demand information.

Counterparty risk is an important determinant of corporate credit spreads. However, there are only a few techniques available to isolate it from other factors. In this paper we describe a model of financial networks that is suitable for the construction of proxies for counterparty risk. Using data on North American supplier–customer network of public companies, we find that, for each supplier, counterparties’ leverage and option implied volatilities are significant determinants of corporate credit spreads in the period after the 2008–2009 U.S. recession. Our findings are robust after controlling for several idiosyncratic, industry, and market factors.

We use a unique quasi-experiment–spillovers from the imposition of purchase restrictions on local housing to nearby unregulated cities–to study the effects of out-of-town housing demand on house prices and consumer spending. While these restrictions effectively stymied the surge in local house prices, they induced capital flight and sharp abnormal increases in house prices in nearby unregulated cities. The effect of the house price increases on consumer spending is positive in the aggregate, but echoing Favilukis and Van Nieuwerburgh (2021), is redistributive, that is, negative for renters and positive for homeowners.

There is a long-standing debate on whether sell-side analysts learn from their experience to improve earnings forecast skills. This study shows that incentive is an important factor for understanding the “learning by doing” effect by analysts. We examine analysts’ response to a complex type of information – corporate pension underfunding. Pension underfunding negatively impacts future earnings and analysts on average underreact to such information in their earnings forecasts. More importantly, when there is a strong incentive for analysts to deliver accurate forecasts, analyst learning effectively reduces their underreaction to pension underfunding information. On the other hand, when such an incentive is absent, the analyst learning effect is not discernible in the data. Further evidence suggests that analyst learning and incentive jointly reduce stock market mispricing associated with corporate pension underfunding.

We develop a state‐of‐the‐art fraud prediction model using a machine learning approach. We demonstrate the value of combining domain knowledge and machine learning methods in model building. We select our model input based on existing accounting theories, but we differ from prior accounting research by using raw accounting numbers rather than financial ratios. We employ one of the most powerful machine learning methods, ensemble learning, rather than the commonly used method of logistic regression. To assess the performance of fraud prediction models, we introduce a new performance evaluation metric commonly used in ranking problems that is more appropriate for the fraud prediction task. Starting with an identical set of theory‐motivated raw accounting numbers, we show that our new fraud prediction model outperforms two benchmark models by a large margin: the Dechow et al. logistic regression model based on financial ratios, and the Cecchini et al. support‐vector‐machine model with a financial kernel that maps raw accounting numbers into a broader set of ratios.

This paper investigates the impact of international political risk on government bond yields in 34 debtor countries using a comprehensive database of 109 international political crises from 1988 through 2007. After employing the total number of international political crises as a proxy for political risk and controlling for country-specific economic conditions, we establish a positive and significant link between international political risk and government bond yields. This is consistent with global bond investors demanding higher returns at times of high political uncertainty. In addition, we show that international political risk has a reduced adverse effect on bond prices when the debtor country has a stable political system and strong investor protection.

Managers often overreact to revenue fluctuations, leading to unnecessary workforce adjustments and increased training costs. This study examines how board governance influences firms’ employment sensitivity to revenue fluctuations. Analyzing global board reforms, we find that board reforms significantly reduce managerial overreaction to revenue fluctuations. Utilizing recent difference-in-differences estimators that address heterogeneous treatment effects, we ensure the robustness of our results. The reduction in employment sensitivity is more pronounced when board reforms strengthen the independence of boards and audit committees, particularly in jurisdictions with weaker board efficacy, shareholder, and employment protection legislation. Enhanced effects are observed in firms with initially lower board independence and rapid reform compliance, in entities experiencing greater information asymmetry, marked by higher labor intensity, higher pre-reform agency costs and financial constraints, and in firms led by less experienced CEOs or boards with higher male representation.