東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Statistical properties in firms' lar...

Ishikawa, Atushi.

FindBook

Google Book

Amazon

博客來

Statistical properties in firms' large-scale data

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical properties in firms' large-scale data/ by Atushi Ishikawa.
作者:	Ishikawa, Atushi.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xv, 140 p. :ill. (some col.), digital ;24 cm.
內容註:	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?.
Contained By:	Springer Nature eBook
標題:	Finance - Statistics. -
電子資源:	https://doi.org/10.1007/978-981-16-2297-7
ISBN:	9789811622977

Statistical properties in firms' large-scale data
Ishikawa, Atushi.

Statistical properties in firms' large-scale data[electronic resource] /by Atushi Ishikawa. - Singapore :Springer Singapore :2021. - xv, 140 p. :ill. (some col.), digital ;24 cm. - Evolutionary economics and social complexity science,v.262198-4204 ;. - Evolutionary economics and social complexity science ;v.26..

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?.

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.

ISBN: 9789811622977

Standard No.: 10.1007/978-981-16-2297-7doiSubjects--Topical Terms:

677192
Finance
--Statistics.

LC Class. No.: HG176.5 / .I75 2021

Dewey Class. No.: 332.015195

Statistical properties in firms' large-scale data
LDR:02914nmm a2200349 a 4500 001 2244493
003 DE-He213
005 20210701171446.0
006 m d
007 cr nn 008maaau
008 211207s2021 si s 0 eng d
020 $a 9789811622977 $q (electronic bk.)
020 $a 9789811622960 $q (paper)
024 7 $a 10.1007/978-981-16-2297-7 $2 doi
035 $a 978-981-16-2297-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HG176.5 $b .I75 2021
072 7 $a KCB $2 bicssc
072 7 $a BUS039000 $2 bisacsh
072 7 $a KCB $2 thema
072 7 $a KCBM $2 thema
082 0 4 $a 332.015195 $2 23
090 $a HG176.5 $b .I79 2021
100 1 $a Ishikawa, Atushi. $3 3505416
245 1 0 $a Statistical properties in firms' large-scale data $h [electronic resource] / $c by Atushi Ishikawa.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xv, 140 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Evolutionary economics and social complexity science, $x 2198-4204 ; $v v.26
505 0 $a 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?.
520 $a 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.
650 0 $a Finance $x Statistics. $3 677192
650 1 4 $a Macroeconomics/Monetary Economics//Financial Economics. $3 2162289
650 2 4 $a Heterodox Economics. $3 2186642
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 3382132
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 3382004
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Evolutionary economics and social complexity science ; $v v.26. $3 3505417
856 4 0 $u https://doi.org/10.1007/978-981-16-2297-7
950 $a Economics and Finance (SpringerNature-41170)