Statistical Properties in Firms' Large-scale Data

Statistical Properties in Firms' Large-scale Data / by Atushi Ishikawa.

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 t...

Full description

Saved in:
Bibliographic Details
Main Author: Ishikawa, Atushi (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Series:Evolutionary economics and social complexity science ; v. 26.
Subjects:
Finance > Statistics.
Finance
Statistics
Statistics.
Statistiques.
Online Access:Click for online access
Table of Contents:
  • 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?

Similar Items