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
FNCE 2010 - Quantitative Methods for Finance
Primary Instructor
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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.
MBAX 6220 - Investment Management and Analysis
Primary Instructor
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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
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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
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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.
MSBC 5031 - Quantitative Methods in Finance
Primary Instructor
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Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
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) applied to the field of finance. Provides an introduction to topics such as regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods.
MSBC 5032 - Real Estate Data Analysis
Primary Instructor
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Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
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) applied to real estate. Provides an introduction to topics such as regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods.
MSBC 5220 - Investment Management & Analysis
Primary Instructor
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Fall 2019 / Fall 2021
Covers managing investment portfolios by blending academic theories and evidence with practitioner experience. Topics include risk and return relationships, securities, value theory (capital asset, arbitrage, and option pricing), portfolios, and performance evaluations.
