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Harry Mamaysky

Harry Mamaysky

· Professor of Professional Practice in the Faculty of Business

Columbia University · French and Italian

Active 1999–2026

h-index16
Citations2.7k
Papers7224 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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Research topics

  • Computer Science
  • Business
  • Economics
  • Finance
  • Internal medicine
  • Microeconomics
  • Econometrics
  • Financial economics
  • Financial system
  • Physics

Selected publications

  • Financial Markets and News about the Coronavirus

    SSRN Electronic Journal · 2020 · 44 citations

    1st authorCorresponding
  • Investor Information Choice with Macro and Micro Information

    The Review of Asset Pricing Studies · 2022 · 27 citations

    Senior authorCorresponding

    Abstract We develop a model of information and portfolio choice in which ex ante identical investors choose to specialize because of fixed attention costs required in learning about securities. Without this friction, investors would invest in all securities and would be indifferent across a wide range of information choices. When securities’ dividends depend on an aggregate (macro) risk factor and idiosyncratic (micro) shocks, fixed attention costs lead investors to specialize in either macro or…

  • Time Variation in the News–Returns Relationship

    Journal of Financial and Quantitative Analysis · 2023 · 13 citations

    Senior authorCorresponding

    Abstract The speed of stock price reaction to news exhibits substantial time variation. Higher risk-bearing capacity of financial intermediaries, lower passive ownership of stocks, and more informative news increase price responses to contemporaneous news; surprisingly, these interaction variables also increase price responses to lagged news (underreaction). A simple model with limited attention and three investor types (institutional, noninstitutional, and passive) predicts the observed variati…

  • Choosing news topics to explain stock market returns

    2020-10-15 · 6 citations

    preprintOpen accessSenior author

    We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of the topic model. We obtain better out-of-sample performance through a random search of plain LDA models. A branching procedure that reinforces effective topic assignments often performs best. We test the…

  • Dynamic Information Regimes in Financial Markets

    Management Science · 2023-10-24 · 4 citations

    articleOpen access

    We develop a model of investor information choices and asset prices in which the availability of information about fundamentals is time-varying and responds to investor demand for information. A competitive research sector produces more information when more investors are willing to pay for that research. This feedback, from investor willingness to pay for information to more information production, generates two regimes in equilibrium, one having high prices and low volatility, the other the op…

Frequent coauthors

  • Charles W. Calomiris

    Utah State University

    56 shared
  • Paul Glasserman

    Columbia University

    18 shared
  • Andrew W. Lo

    9 shared
  • Matthew Spiegel

    Yale University

    6 shared
  • Yiwen Shen

    Tianjin University of Technology and Education

    6 shared
  • Nida Çakır Melek

    5 shared
  • Hua He

    Sichuan University

    5 shared
  • Jiang Wang

    Taiyuan University of Technology

    4 shared

Education

  • PhD, Finance

    Massachusetts Institute of Technology Sloan School of Management

    2000

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