Moods are low-intensity affective states that individuals bring to a decision, and may be especially important when the balanced scorecard (BSC) is used for performance evaluation purposes. We propose that financial incentives can motivate decision-makers to correct mood congruency biases, in which judgments and decisions are consistent with moods. In experiment 1, participants rated the performance of one division manager based on two accounting measures and another manager based on a 16-measure BSC; there were mood congruency biases at both levels of information load. Financial incentives to make benchmark-consistent judgments eliminated bias in the former condition but not in the BSC condition. In experiment 2, incentives were offered and performance evaluations were based on an eight-measure BSC; mood congruency bias was eliminated. Results suggest that management control systems, specifically financial incentives, should be included in future affect correction research.

We examine whether the increase in the flow of capital to hedge funds over the period 1994–2005 had a negative impact on performance. More specifically, we study the relative performance of small versus large funds for each of the hedge fund strategies. Our results indicate that on an absolute return basis, small funds outperform large funds. On a risk-adjusted return basis, however, we find that large funds outperform small funds, and that large funds are also shown to hold less liquid assets and take on less systematic and idiosyncratic risk than small funds. Further, funds that experience positive liquidity shocks generally outperform those that experience negative liquidity shocks. We also find evidence that hedge fund managers that are aggressive in dealing with liquidity shocks perform better than hedge fund managers that are conservative in dealing with liquidity shocks.

Abstract Between 2010 and 2020, the U.S. coal industry experienced a 50% drop in production, employment, and active mines, driven by regulatory factors and technological innovation in alternative energy sources. We study the impact of this energy transition on household employment, wages, migration, and home ownership in affected communities. Compared to non-coal-producing, resource-rich counties, coal-producing counties experience 6% and 4% drops in employment and wages, respectively, during this period. Economic mobility and access to banking services significantly moderate these real effects, suggesting a potential role for finance to shape the industrial and economic changes associated with climate transitions. (JEL G20, G50, J61, Q55, Q58) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Abstract The U.S. banking sector had nearly 70% fewer banks in 2022 relative to 1989, primarily because of mergers. We develop a methodology to estimate cross-market spillover effects of bank mergers and test whether the operations of incumbents facing consolidating competitors in one market are affected in other markets. We find that nonmerging banks within a market that are one standard deviation more exposed to mergers in other markets increase deposits by 2.1% relative to their less exposed competitors. Our methodology may be applied elsewhere to assess the aggregate impacts of industry consolidation and illustrates challenges with product-based or geographic market definitions.

The global financial crisis that started from 2007 onwards spread around the world and impacted the performance of banks in major economies. Many governments have used a variety of intervention policies to recover their financial systems. By examining the dynamic changes in bank performance before and after government intervention, this study demonstrates the use of the piecewise latent trajectory model. We used the data collected from Bloomberg for banks of five major Asian economies, Japan, South Korea, Hong Kong, Singapore and Taiwan, over the eleven-quarter period from the 4th quarter of 2007 to the 2nd quarter of 2010 on six financial performance indicators reflecting solvency, credit risk and profitability. The change patterns of bank performance before/after government intervention during the global financial crisis have been compared among the five economies. Our empirical results indicate that, on average, the bank performance in terms of solvency, credit risk, and profitability improves after government intervention. Moreover, the influence of government intervention on bank performance depends on the evaluative financial indicator, the economy, and whether banks are internationalized. South Korea and Hong Kong have been identified to be the economies with stronger bank performance after government intervention. Policies demonstrated useful in South Korea and Hong Kong have been summarized and discussed.

Nearest neighbor (NN) matching is widely used in observational studies for causal effects. Abadie and Imbens (2006) provided the first large‐sample analysis of NN matching. Their theory focuses on the case with the number of NNs, M fixed. We reveal something new out of their study and show that once allowing M to diverge with the sample size an intrinsic statistic in their analysis constitutes a consistent estimator of the density ratio with regard to covariates across the treated and control groups. Consequently, with a diverging M , the NN matching with Abadie and Imbens' (2011) bias correction yields a doubly robust estimator of the average treatment effect and is semiparametrically efficient if the density functions are sufficiently smooth and the outcome model is consistently estimated. It can thus be viewed as a precursor of the double machine learning estimators.

This paper explains exchange rate dynamics by linking financial customers’ foreign exchange order flow with their dynamic portfolio reallocation. For any currency pair in a particular period, one currency has higher assets return than the other and can be considered the high-return-currency (HRC). Financial institutions attempt to hold more HRC assets when they become more risk-loving or the relative return of the assets is expected to increase. Such a portfolio reallocation generates buy order toward the HRC and the currency appreciates. As the HRC changes over time, the direction that the relative return and risk appetite affect the exchange rate varies in different regimes.

This paper introduces an empirical strategy to estimate dynamic treatment effects in randomized trials that provide treatment in multiple stages and in which various noncompliance problems arise, such as attrition and selective transitions between treatment and control groups. Our approach is applied to the highly influential four-year randomized class size study, Project STAR. We find benefits from attending small classes in all cognitive subject areas in kindergarten and first grade. We do not find any statistically significant dynamic benefits from continuous treatment versus never attending small classes following grade 1. Finally, statistical tests support accounting for both selective attrition and noncompliance with treatment assignment.

Peer effects have figured prominently in debates on school vouchers, desegregation, ability tracking, and antipoverty programs. Compelling evidence of their existence remains scarce for plaguing endogeneity issues such as selection bias and the reflection problem. This paper is among the first to firmly establish the link between peer performance and student achievement, using a unique data set from China. We find strong evidence that peer effects exist and operate in a positive and nonlinear manner; reducing the variation of peer performance increases achievement; and our semiparametric estimates clarify the trade-offs facing policymakers in exploiting positive peer effects to increase future achievement.