Jessica Wachter

Jessica Wachter
  • Dr. Bruce I. Jacobs Professor in Quantitative Finance, Professor of Finance

Contact Information

  • office Address:

    2459 Steinberg-Dietrich Hall
    3620 Locust Walk
    Philadelphia, PA 19104

Research Interests: asset pricing, behavioral finance

Links: Personal Website, CV

Overview

Education

Phd, Harvard University, 2000; AB, Harvard College, 1996

Academic Positions Held

Wharton: 2003-present. Previous appointments: Stern School of Business, New York University

Jessica A. Wachter is the Dr. Bruce I. Jacobs Professor in Quantitative Finance at the Wharton School of Business of the University of Pennsylvania. She is currently on leave at the Securities and Exchange Commission where she serves as Chief Economist and Director of the Division of Economic and Risk Analysis.  She holds a PhD in Business Economics and an undergraduate degree in Mathematics from Harvard University. She currently serves on the board of the Western Finance Assocation, and as an associate editor of Quantitative Economics. Previously, she served as associate editor at the Review of Financial Studies and the Journal of Economic Theory and as a board member of the American Finance Association. Her research interests include asset pricing models that incorporate rare events and behavioral finance. She has published numerous papers in the Journal of Finance, the Journal of Financial Economics, the Review of Financial Studies, and other journals.

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Research

  • James Paron, Michael Kahana, Jessica Wachter, Associative Learning and Representativeness. Abstract

    The representativeness heuristic constitutes a striking departure from Bayesian
    updating. According to a strong form of the heuristic, agents reverse
    a conditioning argument: for example inferring that a patient is more
    likely than not to have a rare disease, conditional on a
    positive test result. The correct inference is that a positive test
    result is more likely than not, conditional on
    disease. Recent research implicates representativeness
    in a wide range of financial market anomalies, with potential consequences for
    the real economy. However,
    the cognitive foundations of the representativeness heuristic (RH) remain
    unknown. Here, we show that the RH emerges from a theory of
    associative memory and recognition, leading to a cognitive foundation for the RH, and
    a means of integrating the RH into economic models involving
    decision-making under uncertainty.

  • Jules van Binsbergen, Sophia Hua, Jonas Peeters, Jessica Wachter, Is the United States a lucky survivor? A hierarchical Bayesian approach.
  • Hongye Guo and Jessica Wachter (2024), “Superstitious” Investors, . Related
  • Jessica Wachter and Yicheng Zhu (Work In Progress), Learning with rare disasters. Abstract

    Financial crises appear to have long-lasting effects, even after the
    crisis itself has past. This paper offers a simple explanation
    through Bayesian learning from rare events. Agents face a latent and time-varying
    probability of economic disaster. When a disaster occurs, learning
    results in greater effects on asset prices because agents update their
    probability of future disasters. Moreover, agents’ belief that the
    disaster risk is high can rationally persist for years, even when it
    is in fact low. We generalize the model to allow for a noisy signal of
    the disaster probability. This generalized model explains excess
    stock market volatility together with negative skewness, effects that
    previous models in the literature struggle to explain.

  • Ulrike Malmendier and Jessica Wachter, Memory of Past Experiences and Economic Decisions. In Oxford Handbook of Human Memory, edited by Michael Kahana Anthony Wagner, (Oxford University Press, 2024) Abstract

    In traditional economic models, memories of past experiences affect choices only to the extent that they represent information. We review recent advances in economic research that have introduced a role for long-lasting effects of personal past experiences and the memory thereof into economics. We first document the empirical evidence on long-lasting experience effects in finance and economics. We then discuss the main approaches the literature has taken in incorporating psychological theories of long-lasting memories into economics. Our treatment suggests a role for models of memory in accounting not only for micro-level phenomena, but for anomalies within asset pricing and macroeconomics more broadly.

    Related
  • Mehran Ebrahimian and Jessica Wachter (2024), Risks to Human Capital, . Abstract

    Do financing constraints deepen recessions? To help answer this question, we build a model with inalienable human capital, in which investors finance individuals who can potentially become skilled. Though investment in skill is always optimal, it does not take place in some states of the world, due to moral hazard. In intermediate states of the world, individuals acquire skill; however outside investors and individuals inefficiently share risk. We show that this simple moral hazard problem, combined with risk aversion of individuals and outside investors, amplifies the equity premium, lowers the riskfree rate, and leads to disaster states that fall especially heavily on some agents but not on others. We show that the possibility of disaster states distorts risk prices, even under calibrations in which they never occur in equilibrium.

    Related
  • Jessica Wachter and Michael Kahana (2024), A retrieved-context theory of financial decisions, Quarterly Journal of Economics, 139 (2), pp. 1095-1147. Abstract

    Studies of human memory indicate that features of an event
    evoke memories of prior associated contextual states, which in turn
    become associated with the current event’s features. This
    retrieved-context mechanism allows the remote past to influence the present, even as agents
    gradually update their beliefs about their environment. We apply a
    version of retrieved context theory, drawn from the literature on
    human memory, to explain three types of evidence in the financial
    economics literature: the role  of early life experience in shaping investment choices, occurrence of financial crises, and the impact of fear on asset allocation. These applications suggest a
    recasting of neoclassical rational expectations in terms of beliefs as
    governed by principles of human memory.

    Related
  • Joao F. Gomes, Marco Grotteria, Jessica Wachter (2023), Foreseen Risks, Journal of Economic Theory, 212 (). Abstract

    Financial crises tend to follow rapid credit expansions. Causality, however, is far from obvious. We show how this pattern arises naturally when financial intermediaries optimally exploit economic rents that drive their franchise value. As this franchise value varies over the business cycle, so too do the incentives to engage in risky lending. The model leads to novel insights on the effects of recent unconventional monetary policies in developed economies. We argue that bank lending might have responded less than expected to these interventions because they enhanced franchise value, inadvertently encouraging banks to pursue safer investments in low-risk government securities.

    Related
  • Jessica Wachter and Yicheng Zhu (2022), A Model of Two Days: Discrete News and Asset Prices, Review of Financial Studies, 35 (5), pp. 2246-2307. Abstract

    Empirical studies demonstrate striking patterns in stock returns related to scheduled macroeconomic announcements. A large proportion of the total equity premium is realized on days with macroeconomic announcements. The relation between market betas and expected returns is far stronger on announcement days as compared with nonannouncement days. Finally, these results hold for fixed-income investments as well as for stocks. We present a model in which agents learn the probability of an adverse economic state on announcement days. We show that the model quantitatively accounts for the empirical findings. Evidence from options data provides support for the model’s mechanism.

    Related
  • Sangmin Oh and Jessica Wachter (2022), Cross-sectional Skewness, Review of Asset Pricing Studies, 12 (1), pp. 155-198. Related
  • All Research from Jessica Wachter »

Teaching

Past Courses

  • FNCE1000 - Corporate Finance

    This course provides an introduction to the theory, the methods, and the concerns of corporate finance. The concepts developed in FNCE 1000 form the foundation for all elective finance courses. The main topics include: 1) the time value of money and capital budgeting techniques; 2) uncertainty and the trade-off between risk and return; 3) security market efficiency; 4) optimal capital structure, and 5) dividend policy decisions. ACCT 1010 + STAT 1010 may be taken concurrently.

  • FNCE2570 - Foundation Asset Pricing

    This course will cover methods and topics that form the foundations of modern asset pricing. These include: investment decisions under uncertainty, mean-variance theory, capital market equilibrium, arbitrage pricing theory, state prices, dynamic programming, and risk-neutral valuation as applied to option prices and fixed-income securities. Upon completion of this course, students should acquire a clear understanding of the major principles concerning individuals' portfolio decisions under uncertainty and the valuations of financial securities. In addition to the prerequisites one of the following courses is recommended FNCE 2050; BEPP 2500; MATH 3600; STAT 4330

  • FNCE7570 - Foundations of Asset Pricing

    This course will cover methods and topics that form the foundations of modern asset pricing. These include: investment decisions under uncertainty, mean-variance theory, capital market equilibrium, arbitrage pricing theory, state prices, dynamic programming, and risk-neutral valuation as applied to option prices and fixed-income securities. Upon completion of this course, students should acquire a clear understanding of the major principles concerning individuals' portfolio decisions under uncertainty and the valuations of financial securities. FNCE 7050 is recommended but not required.

  • FNCE8990 - Independent Study

    Independent Study Projects require extensive independent work and a considerable amount of writing. ISP in Finance are intended to give students the opportunity to study a particular topic in Finance in greater depth than is covered in the curriculum. The application for ISP's should outline a plan of study that requires at least as much work as a typical course in the Finance Department that meets twice a week. Applications for FNCE 8990 ISP's will not be accepted after the THIRD WEEK OF THE SEMESTER. ISP's must be supervised by a Standing Faculty member of the Finance Department.

  • FNCE9110 - Financial Economics

    The objective of this course is to undertake a rigorous study of the theoretical foundations of modern financial economics. The course will cover the central themes of modern finance including individual investment decisions under uncertainty, stochastic dominance, mean variance theory, capital market equilibrium and asset valuation, arbitrage pricing theory, option pricing, and incomplete markets, and the potential application of these themes. Upon completion of this course, students should acquire a clear understanding of the major theoretical results concerning individuals' consumption and portfolio decisions under uncertainty and their implications for the valuation of securities.

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