Overview
- Provides knowledge of how to analyze firms’ financial data based on empirical data
- Facilitates understanding of the statistical properties of firms’ financial data and their relationship
- Explains the geometric meaning of the Cobb–Douglas production function and total factor productivity
Part of the book series: Evolutionary Economics and Social Complexity Science (EESCS, volume 26)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms’ large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.
Authors and Affiliations
About the author
Atushi Ishikawa, Kanazawa Gakuin University
The author was originally a theoretical physicist of elementary particles. He now specializes in Econophysics and is primarily engaged in the study of the statistical properties of firms’ large-scale financial data. The study covers a wide range of other topics, including analyzing point-of-sale (POS) data, analyzing Twitter, and analyzing land prices.
Bibliographic Information
Book Title: Statistical Properties in Firms’ Large-scale Data
Authors: Atushi Ishikawa
Series Title: Evolutionary Economics and Social Complexity Science
DOI: https://doi.org/10.1007/978-981-16-2297-7
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-2296-0Published: 26 June 2021
Softcover ISBN: 978-981-16-2299-1Published: 27 June 2022
eBook ISBN: 978-981-16-2297-7Published: 25 June 2021
Series ISSN: 2198-4204
Series E-ISSN: 2198-4212
Edition Number: 1
Number of Pages: XV, 140
Number of Illustrations: 51 b/w illustrations, 5 illustrations in colour
Topics: Macroeconomics/Monetary Economics//Financial Economics, Heterodox Economics, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Social Sciences, Humanities, Law