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Adventures in Financial Data Science:The Empirical Properties of Financial and Economic Data

Author

Listed:
  • Graham L Giller

    (Giller Investments, USA)

Abstract

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Graham L Giller, 2022. "Adventures in Financial Data Science:The Empirical Properties of Financial and Economic Data," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 12678, January.
    • Handle: RePEc:wsi:wsbook:12678
    as

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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/12678
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    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Keywords

    Data Science; Finance; Quant Research; Econometrics; Trading Strategy; Survey Research; Political Science; Time-Series Analysis; Volatility; Stock Market; Bond Market; Interest Rates; Empirical Finance; Probability Distributions; Statistics; Estimation; Empirical Science; Hypothesis Testing; Biography; Coronavirus; Epidemiology; Geospatial Analysis; Index Futures; Index Options; Morgan Stanley; Process Driven Trading; Quant Trading; Climate; Temperature; Demographics; Machine Learning;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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