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Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning:(In 4 Volumes)

Editor

Listed:
  • Cheng Few Lee
    (Rutgers University, USA)

  • John C Lee
    (Center for PBBEF Research, USA)

Abstract

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Cheng Few Lee & John C Lee (ed.), 2020. "Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning:(In 4 Volumes)," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11335, January.
    • Handle: RePEc:wsi:wsbook:11335
    as

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    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Keywords

    Financial Econometrics; Financial Mathematics; Financial Statistics; Financial Technology; Machine Learning; Covariance Regression; Cluster Effect; Option Bound; Dynamic Capital Budgeting; Big Data;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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