Statistical Properties in Firms’ Large-scale Data: 26 (Evolutionary Economics and Social Complexity Science, 26) - Image 1

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Springer Statistical Properties in Firms’ Large-scale Data: 26 (Evolutionary Economics and Social Complexity Science, 26)

Name: Statistical Properties in Firms' Large-scale Data: 26 (Evolutionary Economics and Social Complexity Science, 26)
Brand: Springer
Price: 80.44 GBP
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Medical, Legal & Social Sciences

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 981162299X
Category: Books > Subjects > Biography > Medical, Legal & Social Sciences
Domain: Amazon UK
Release Date: 27 June 2022
Listed Since: 30 May 2022

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Springer Statistical Properties in Firms’ Large-scale Data: 26 (Evolutionary Economics and Social Complexity Science, 26)

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