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Cookson, J. Anthony

Professor

Positions

Research Areas research areas

Research

research overview

  • J. Anthony Cookson's research focuses on the intersection between corporate finance, industrial organization, household finance, and law and economics, and has applications to the American casino industry, American Indian tribal economic development, and the determinants of bank mergers. His recent research has focused on how information is processed by financial market participants, particularly in a social media context. He has published or has forthcoming articles in The Journal of Law and Economics, Journal of Financial Economics, Management Science, and the Review of Financial Studies.

keywords

  • social media, corporate finance, credit and banking, industrial organization, household finance, financial decision-making, law and economics, applied econometrics

Publications

selected publications

Teaching

courses taught

  • FNCE 2010 - Quantitative Methods for Finance
    Primary Instructor - Spring 2018
    Study of quantitative approaches to finance. Covers mathematical and statistical topics required for such analysis, including derivatives, optimization, integration, probability, inference, and regression. Students will become proficient in using the tools and applying them to various financial contexts using analytics Excel.
  • FNCE 7200 - Doctoral Seminar: Empirical Research Methods in Finance
    Primary Instructor - Spring 2018
    Develops an understanding of current empirical methods used to examine research issues related to corporatefinance and the capital markets.
  • MBAX 6220 - Investment Management and Analysis
    Primary Instructor - Fall 2018
    Covers managing investment portfolios, blending economic theory and evidence with practitioner experience. Topics include understanding risk and return relationships, diversification, portfolio management, various asset classes, popular valuation models (capital asset, arbitrage pricing, and option pricing), aspects of fixed income and performance assessment.
  • MBAX 6295 - Topics in Finance
    Primary Instructor - Fall 2024
    Provides a vehicle for the development and presentation of new topics with the potential of being incorporated into the standard MBA curriculum. May be repeated up to 6 total credit hours.
  • MSBC 5030 - Quantitative Methods
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020
    Covers foundations for statistical reasoning and statistical applications in business. Topics include graduate level treatment of descriptive statistics, probability, probability distributions, sampling theory and sampling distributions and statistical inference (estimation and hypothesis testing). Provides an introduction to regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods. Heavy use of R programming in course execution.
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