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A model study for calculation of the temperatures of major stock markets in the world with the quantum simulation and determination of the crisis periods

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  • Kuzu, Erkan
  • Süsay, Aynur
  • Tanrıöven, Cihan

Abstract

The heterogeneous economic time model has been adapted for the purpose of determining the crisis periods in the study, which aims to calculate the temperatures of major stock markets in the world with the quantum simulation. The proposed model was applied to 15 stock market indexes selected from Asia, Europe and America continents The model that can be interpreted as “the average energy of the economic particle” and thus “the temperature of the series” was tested. Crises are recognized with the condensation of economic processes (the temperature is rising), while during the non-crisis period economic processes slowdown can be observed (the temperature is falling), which can be interpreted as “the heterogeneous flow of economic time”. The temperature that occurred on the stock markets during the periods of global events and Covid-19 was shown graphically.

Suggested Citation

  • Kuzu, Erkan & Süsay, Aynur & Tanrıöven, Cihan, 2022. "A model study for calculation of the temperatures of major stock markets in the world with the quantum simulation and determination of the crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
  • Handle: RePEc:eee:phsmap:v:585:y:2022:i:c:s0378437121006907
    DOI: 10.1016/j.physa.2021.126417
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    as
    1. Topcu, Mert & Gulal, Omer Serkan, 2020. "The impact of COVID-19 on emerging stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    2. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.
    3. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    4. Helena Chulia & Francisco Climent & Pilar Soriano & Hipolit Torro, 2009. "Volatility transmission patterns and terrorist attacks," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 607-619.
    5. Vladimir Soloviev & Vladimir Saptsin, 2011. "Heisenberg uncertainty principle and economic analogues of basic physical quantities," Papers 1111.5289, arXiv.org.
    6. Papakyriakou, Panayiotis & Sakkas, Athanasios & Taoushianis, Zenon, 2019. "The impact of terrorist attacks in G7 countries on international stock markets and the role of investor sentiment," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 143-160.
    7. Imen Zorgati & Faten Lakhal & Elmoez Zaabi, 2019. "Financial contagion in the subprime crisis context: A copula approach," Post-Print hal-02052406, HAL.
    8. Fabio Bagarello, 2009. "A quantum statistical approach to simplified stock markets," Papers 0907.2531, arXiv.org.
    9. Shehzad, Khurram & Xiaoxing, Liu & Kazouz, Hayfa, 2020. "COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?," Finance Research Letters, Elsevier, vol. 36(C).
    10. Kim, Jae H. & Shamsuddin, Abul & Lim, Kian-Ping, 2011. "Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 868-879.
    11. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Financial contagion analysis in frontier markets: Evidence from the US subprime and the Eurozone debt crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1388-1398.
    12. Alan Siu & Y. C. Richard Wong, 2004. "Economic Impact of SARS: The Case of Hong Kong," Asian Economic Papers, MIT Press, vol. 3(1), pages 62-83.
    13. Bariviera, A.F. & Guercio, M. Belén & Martinez, Lisana B., 2012. "A comparative analysis of the informational efficiency of the fixed income market in seven European countries," Economics Letters, Elsevier, vol. 116(3), pages 426-428.
    14. Susana Ferreira & Berna Karali, 2015. "Do Earthquakes Shake Stock Markets?," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-19, July.
    15. Chun-Da Chen & Chin-Chun Chen & Wan-Wei Tang & Bor-Yi Huang, 2009. "The positive and negative impacts of the sars outbreak:a case of the Taiwan industries," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 281-293, September.
    16. Zhang, Chao & Huang, Lu, 2010. "A quantum model for the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5769-5775.
    17. Arshad, Shaista & Rizvi, Syed Aun R. & Haroon, Omair, 2020. "Impact of Brexit vote on the London stock exchange: A sectorial analysis of its volatility and efficiency," Finance Research Letters, Elsevier, vol. 34(C).
    18. Zorgati, Imen & Lakhal, Faten & Zaabi, Elmoez, 2019. "Financial contagion in the subprime crisis context: A copula approach," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 269-282.
    19. Aurelio Fernández Bariviera & M. Belén Guercio & Lisana B. Martinez, 2014. "Informational Efficiency in Distressed Markets: The Case of European Corporate Bonds," The Economic and Social Review, Economic and Social Studies, vol. 45(3), pages 349-369.
    20. Chao Zhang & Lu Huang, 2010. "A quantum model for the stock market," Papers 1009.4843, arXiv.org, revised Oct 2010.
    21. Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2020. "Systemic risk: The impact of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    22. Bagarello, F., 2009. "A quantum statistical approach to simplified stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4397-4406.
    23. Jin, Xiaoye & An, Ximeng, 2016. "Global financial crisis and emerging stock market contagion: A volatility impulse response function approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 179-195.
    24. Wen Hai & Zhong Zhao & Jian Wang & Zhen-Gang Hou, 2004. "The Short-Term Impact of SARS on the Chinese Economy," Asian Economic Papers, MIT Press, vol. 3(1), pages 57-61.
    25. Ashraf, Badar Nadeem, 2020. "Stock markets’ reaction to COVID-19: Cases or fatalities?," Research in International Business and Finance, Elsevier, vol. 54(C).
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