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Econophysics and Companies

Author

Listed:
  • Aoyama,Hideaki
  • Fujiwara,Yoshi
  • Ikeda,Yuichi
  • Iyetomi,Hiroshi
  • Souma,Wataru Preface by-Name:Yoshikawa,Hiroshi

Abstract

Econophysics is an emerging interdisciplinary field that takes advantage of the concepts and methods of statistical physics to analyse economic phenomena. This book expands the explanatory scope of econophysics to the real economy by using methods from statistical physics to analyse the success and failure of companies. Using large data sets of companies and income-earners in Japan and Europe, a distinguished team of researchers show how these methods allow us to analyse companies, from huge corporations to small firms, as heterogeneous agents interacting at multiple layers of complex networks. They then show how successful this approach is in explaining a wide range of recent findings relating to the dynamics of companies. With mathematics kept to a minimum, the book is not only a lively introduction to the field of econophysics but also provides fresh insights into company behaviour.

Suggested Citation

  • Aoyama,Hideaki & Fujiwara,Yoshi & Ikeda,Yuichi & Iyetomi,Hiroshi & Souma,Wataru Preface by-Name:Yoshikawa,Hiroshi, 2011. "Econophysics and Companies," Cambridge Books, Cambridge University Press, number 9781107403482, January.
    • Handle: RePEc:cup:cbooks:9781107403482
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    Citations

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    Cited by:

    1. Christophe Schinckus & Çınla Akdere, 2015. "Towards a New Way of Teaching Statistics in Economics: The Case for Econophysics," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 4(3), pages 89-108, September.
    2. Tian, Lixin & Huang, Yi & Dong, Gaogao & Du, Ruijin & Shi, Liu, 2014. "Robustness of interdependent and interconnected clustered networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 120-126.
    3. Takero Ibuki & Shunsuke Higano & Sei Suzuki & Jun-ichi Inoue & Anirban Chakraborti, 2013. "Statistical inference of co-movements of stocks during a financial crisis," Papers 1309.1871, arXiv.org.
    4. Eliazar, Iddo, 2016. "Beyond lognormal inequality: The Lorenz Flow Structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 339-354.
    5. Misako Takayasu & Hayafumi Watanabe & Hideki Takayasu, 2013. "Generalised central limit theorems for growth rate distribution of complex systems," Papers 1301.2728, arXiv.org, revised Jan 2014.
    6. Li-Xin Zhong & Wen-Juan Xu & Ping Huang & Chen-Yang Zhong & Tian Qiu, 2013. "Self-organization and phase transition in financial markets with multiple choices," Papers 1312.0690, arXiv.org, revised Jun 2014.
    7. Miyazaki, Takeshi & Ishida, Ryo, 2022. "Estimating the elasticity of taxable income: Evidence from top Japanese taxpayers," Japan and the World Economy, Elsevier, vol. 61(C).
    8. Ignacio González García & Alfonso Mateos Caballero, 2021. "Models of Wealth and Inequality Using Fiscal Microdata: Distribution in Spain from 2015 to 2020," Mathematics, MDPI, vol. 9(4), pages 1-24, February.
    9. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    10. Eliazar, Iddo, 2015. "Growth and inequality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 457-470.
    11. Mary Han & Bill McKelvey, 2016. "How to Grow Successful Social Entrepreneurship Firms? Key Ideas from Complexity Theory," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 243-280, September.
    12. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2017. "Dependence of the decay rate of firm activities on firm age," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 351-362, December.
    13. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.

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