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Macrostate Parameter, an Econophysics Approach for the Risk Analysis of the Stock Exchange Market Transactions

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  • Anca Gheorghiu
  • Ion Spanulescu

Abstract

In this paper we attempt to introduce an econophysics approach to evaluate some aspects of the risks in financial markets. For this purpose, the thermodynamical methods and statistical physics results about entropy and equilibrium states in the physical systems are used. Some considerations on economic value and financial information are made. Finally, on this basis, a new index for the financial risk estimation of the stock-exchange market transactions, named macrostate parameter, was introduced and discussed. Keywords: econophysics, stock-exchange markets, financial risk, informational fascicle, entropy, macrostate parameter.

Suggested Citation

  • Anca Gheorghiu & Ion Spanulescu, 2009. "Macrostate Parameter, an Econophysics Approach for the Risk Analysis of the Stock Exchange Market Transactions," Papers 0907.5600, arXiv.org.
  • Handle: RePEc:arx:papers:0907.5600
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    References listed on IDEAS

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    1. Adrian Dragulescu & Victor Yakovenko, 2002. "Probability distribution of returns in the Heston model with stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 2(6), pages 443-453.
    2. Khrennikov, Andrei, 2005. "Financial heat machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 487-490.
    3. Yanhui Liu & Parameswaran Gopikrishnan & Pierre Cizeau & Martin Meyer & Chung-Kang Peng & H. Eugene Stanley, 1999. "The statistical properties of the volatility of price fluctuations," Papers cond-mat/9903369, arXiv.org, revised Mar 1999.
    4. Fabrizio Lillo & Rosario N. Mantegna, 2000. "Variety and Volatility in Financial Markets," Papers cond-mat/0006065, arXiv.org.
    5. Suzuki, Tomoya & Ikeguchi, Tohru & Suzuki, Masuo, 2004. "A model of complex behavior of interbank exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 196-218.
    6. Anders Johansen & Olivier Ledoit & Didier Sornette, 2000. "Crashes As Critical Points," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
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    Keywords

    econophysics; stock-exchange markets; financial risk; informational fascicle; entropy; macrostate parameter.;
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