In this paper, we conduct a field experiment with a large sample of financial planner professionals in Canada to elicit factors which may influence client recommendations. Using repeated client vignettes, we find that recommendations are sensitive in expected ways to relative costs and benefits of particular products as well as client characteristics. We show that, in some domains, planners are more likely to recommend products they own themselves, their spouse owns, or they are licensed to sell. We provide evidence that product familiarity can negatively impact the quality of financial advice in specific situations. Finally, we find evidence for an effect of client involvement in the investment domain, but we do not find economically significant gender effects.

We propose a model of post‐Great Financial Crisis (GFC) money markets and monetary policy implementation. In our framework, capital regulation may deter banks from intermediating liquidity derived from holding reserves to shadow banks. Consequently, money markets can be segmented, and the scarcity of Treasury bills available to shadow banks is the main driver of short‐term spreads. In this regime, open market operations have an inverse effect on net liquidity provision when swapping ample reserves for scarce T‐bills or repos. Our model quantitatively accounts for post‐2010 time series for repo rates, T‐bill yields, and the Fed's reverse repo facility usage.

This study investigates, via two experiments, the effects of target transparency, which reflects employees' knowledge about each other's targets in an organization, on managers' target setting decisions. We also investigate whether this effect depends on the need for help among employees. We predict and find that target transparency and need for help interact to influence managers' target setting decisions. Target transparency increases target levels when the need for help is low, but not when it is high. Further, target transparency leads managers to differentiate less between individual employee targets. This reduction is greater when the need for help is high than when it is low. Additional analyses support our theory by revealing that managers strategically set targets in a way that is consistent with an intention to motivate both effort at the individual level and help among employees when such are needed. Our results help explain anecdotal evidence of why companies that value help among employees often make targets transparent throughout the entire organization.

We introduce a new approach to estimating long-term aggregate discount rates using the cross section of earnings and book values to explain current stock prices and extract expected market returns. The proposed discount rate measure is countercyclical. Shocks to it account for nearly half of historical market return variation; in contrast, shocks to other discount rate measures account for no more than 2%. It dominates other measures in explaining time-series variation in returns on duration-sorted portfolios and delivers out-of-sample predictability that exceeds that afforded by other expected return measures and predictive variables. It also performs well in international equity markets.

We isolate the information channel of peer effects in consumption in a setting that excludes a role for common shocks or social pressure—a spending panel paired with crowdsourced information about anonymous “peers” elicited at different times. Consumers converge to peers’ spending, and more so when peer signals are more informative. Convergence is asymmetric: within 12 months of information provision, overspenders close 17% and underspenders 5% of their gap relative to peers. We exploit the quasi-random assignment to peer groups in an instrumental-variable strategy and implement an experiment for external validity. Our results are consistent with information-based theories of overconsumption.

Effective board monitoring prevents entrenched managers from undertaking acquisitions that are detrimental to shareholders. It also facilitates a smooth transition during the post-acquisition phase. We examine how independent board leadership affects M&A outcomes. Controlling for many firm, board, and CEO attributes, we find that acquirers with independent board chairpersons earn significantly higher CAR around M&A announcements. The positive effects of independent board chairpersons are more pronounced in acquirers with high monitoring needs. The boards led by independent chairpersons primarily add value by selecting targets with high synergetic gains, avoiding overpaying for targets, and facilitating smooth transition in the post-acquisition phase.

This field experiment investigates how different levels of aggregation in relative performance information (RPI) impact employee performance in environments with multiple tasks. We randomly assign store employees of a retail chain to three groups: RPI on overall performance (control group), RPI on separate tasks, and RPI on both overall performance and separate tasks. We do not find evidence that providing separate task RPI instead of overall RPI affects performance or effort allocation. However, providing RPI on both overall performance and separate tasks seems to reduce performance, especially in the low‐return task. This suggests that detailed RPI directs employees’ attention to the smaller benefits of low‐return tasks. We further find that only 30.5% of the employees accessed their performance reports, highlighting a distinction between providing RPI in the field and the laboratory. This study is based on a registered report accepted by the Journal of Accounting Research .

We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time, in particular over the monetary policy cycle. Forecasters update their perceptions about the Fed’s policy rule in response to monetary policy actions, measured by high-frequency interest rate surprises, suggesting that they have imperfect information about the rule. Monetary policy perceptions matter for monetary transmission, as they affect the sensitivity of interest rates to macroeconomic news, term premia in long-term bonds, and the response of the stock market to monetary policy surprises. A simple learning model with forecaster heterogeneity and incomplete information about the policy rule motivates and explains our empirical findings.