Statistical Properties in Firms' Large-scale Data / Evolutionary Economics and Social Complexity Science Bd.26 (PDF)
(Sprache: Englisch)
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,...
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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 thestatistical 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.
Autoren-Porträt von Atushi Ishikawa
Atushi Ishikawa, Kanazawa Gakuin UniversityThe 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.
Bibliographische Angaben
- Autor: Atushi Ishikawa
- 2021, 1st ed. 2021, 140 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811622973
- ISBN-13: 9789811622977
- Erscheinungsdatum: 25.06.2021
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- Größe: 3.73 MB
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Englisch
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