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Behavioral Finance and Asset Pricing

Paper Session

Friday, Jan. 7, 2022 10:00 AM - 12:00 PM (EST)

Hosted By: American Finance Association
  • Chair: Samuel Hartzmark, University of Chicago

Model-Free and Model-Based Learning as Joint Drivers of Investor Behavior

Nicholas Barberis
,
Yale University
Lawrence Jin
,
California Institute of Technology

Abstract

In the past decade, researchers in psychology and neuroscience studying human decision-making have increasingly adopted a framework that combines two systems, namely “model-free” and “model-based” learning. We import this framework into a simple financial setting, study its properties, and link it to a wide range of applications. We show that it provides a foundation for extrapolative demand and experience effects; resolves a puzzling disconnect between investor allocations and beliefs in both the frequency domain and the cross-section; helps explain the dispersion in stock market allocations across investors as well as the inertia in these allocations over time; and sheds light on the persistence of household investment mistakes. More broadly, the framework offers a way of thinking about individual behavior that is grounded in recent evidence on the computations that the brain undertakes when estimating the value of a course of action.

Currency Anomalies

Sohnke Bartram
,
University of Warwick and CEPR
Leslie Djuranovik
,
University of Warwick
Anthony Garratt
,
University of Warwick

Abstract

This paper is the first to study the cross-section of currency excess return predictors to explore alternative explanations for their existence. Using real-time data, quantitative currency trading strategies are profitable during in-sample and out-of-sample periods, even after transaction costs and comprehensive risk adjustments. However, (risk-adjusted) profits decrease substantially after the publication of the underlying academic research. In line with predictor profits reflecting mispricing, the decline is greater for strategies with larger in-sample profits and lower arbitrage costs. Moreover, the effect of risk adjustments on trading profits is limited, and signal ranks and alphas decay quickly. While analysts’ currency forecasts are inconsistent with currency predictors, analysts update their forecasts quickly to incorporate lagged predictor information. The results suggest that market participants learn about mispricing from academic publications, while contributing to it when following analysts’ forecasts.

Risk Aversion Propagation: Evidence from Financial Markets and Controlled Experiments

Xing Huang
,
Washington University in St. Louis
Nancy Xu
,
Boston College

Abstract

While the time variation in investor risk appetite is widely examined, there is scant research on how investor risk appetite may respond in an international context. We study risk aversion (RA) propagation from US to other major developed economies using both financial market data and controlled experiments. By exploiting daily financial market and news data between 2000 and 2017, we identify US risk aversion events -- both high and low -- and show that the international pass-through of US high RA events is significantly higher (61%) than that of US low RA events (43%), suggesting asymmetric US risk aversion propagation. Next, in our experiment, non-US subjects when primed with a US financial bust shock exhibited asymmetrically lower positive emotion, higher negative emotion and higher risk aversion than those primed with a US boom shock. The foreign nature of negative shocks may change emotions more than that of positive shocks, hence resulting in asymmetric risk aversion propagation. Our evidence shows that such an ``emotion'-related mechanism explained up to 20% of the asymmetry.

Can Agents Add and Subtract When Forming Beliefs? Evidence from the Lab and Field

Pascal Kieren
,
University of Mannheim
Jan Müller-Dethard
,
University of Mannheim
Martin Weber
,
University of Mannheim

Abstract

We study an intrinsic property of Bayesian information processing which does not rely on individuals having rational absolute beliefs: two equally-diagnostic signals of opposite direction should cancel out. Using evidence from both the lab and field, we show that individuals not always follow this counting-based principle. Systematic violations occur whenever a sequence of identical evidence is interrupted by a signal of opposite direction, which produces strong and robust overreactions. Conversely, individuals correctly follow this counting-based principle whenever signals alternate while they underreact to sequences of same-directed evidence. Next, we empirically analyze announcement and post-announcement stock return reactions in financial markets. Consistent with our experimental evidence, we find that initial stock reactions are significantly stronger and subsequent price drifts weaker for opposite-directed earnings surprises than for same-directed earnings surprises. Our results provide novel insights to the paradoxical co-existence of over- and underreaction to new information at the individual and market level.

Discussant(s)
Joshua Schwartzstein
,
Harvard University
Wenxin Du
,
University of Chicago
Yueran Ma
,
University of Chicago
Anastassia Fedyk
,
University of California-Berkeley
JEL Classifications
  • G3 - Corporate Finance and Governance