Statistical Properties in Firms’ Large-scale Data - Atushi Ishikawa

Statistical Properties in Firms’ Large-scale Data

(Autor)

Buch | Softcover
140 Seiten
2022 | 1st ed. 2021
Springer Verlag, Singapore
978-981-16-2299-1 (ISBN)
117,69 inkl. MwSt
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.

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.

Chapter 1. Introduction.- Chapter 2. Non-Gibrat’s Property in the Mid-scale Range.- Chapter 3. Quasi-statistically Varying Power-law and Log-normal Distributions.- Chapter 4. Extension of Non-Gibrat’s Property.- Chapter 5. Long-term Firm Growth Derived from Non-Gibrat’s Property and Gibrat’s Law.- Chapter 6. Firm-age Distribution and the Inactive Rate of Firms.- Chapter 7. Statistical Properties in Inactive Rate of Firms.- Chapter 8. Power Laws with Different Exponents in Firm-Size Variables.- Chapter 9. Why does Production Function Take the Cobb-Douglas Form?.

Erscheinungsdatum
Reihe/Serie Evolutionary Economics and Social Complexity Science ; 26
Zusatzinfo 5 Illustrations, color; 51 Illustrations, black and white; XV, 140 p. 56 illus., 5 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Statistik
Wirtschaft Allgemeines / Lexika
Wirtschaft Volkswirtschaftslehre Makroökonomie
ISBN-10 981-16-2299-X / 981162299X
ISBN-13 978-981-16-2299-1 / 9789811622991
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Weg zur Datenanalyse

von Ludwig Fahrmeir; Christian Heumann; Rita Künstler …

Buch | Softcover (2024)
Springer Spektrum (Verlag)
49,99
Eine Einführung für Wirtschafts- und Sozialwissenschaftler

von Günter Bamberg; Franz Baur; Michael Krapp

Buch | Softcover (2022)
De Gruyter Oldenbourg (Verlag)
29,95