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Is It Possible to Understand the Dynamics of Cryptocurrency Markets Using Econophysics? Crypto-Econophysics

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Blockchain Economics and Financial Market Innovation

Part of the book series: Contributions to Economics ((CE))

Abstract

Closely related to the entire humanity, Finance, as a scientific field, seeks to meet humanity’s endless needs and to continue its race against time. While doing so, it also benefits from other branches of science. Since speed, reliability, accessibility are at the forefront of model structures, finance continuously improves itself and tries to achieve the best interaction with other disciplines. Financial physics, also known as Econophysics, has brought new statistical methods and insights into the studies. Since thermodynamic laws, one of the most frequently used simulation systems, can explain the basics of all physical movements, the crypto money market, the stock market, and the dynamics of the foreign exchange market have been introduced. Thermodynamics describes heat movements; explain internal energy of economic systems, heat and jobs created (also called wealth or profits), and open a new page in quantitative/qualitative Economic Research. In this study, following the second law of thermodynamics, the Carnot cycle was written with a new point of view from the question of whether the amount of work given to the system in the crypto currency reserve can explain the possible trading (exchange) prices that occur or are likely to occur with the exchange of money.

This research was funded by Kastamonu University under the Scientific Research Project KU- BAP 01/2015-10.

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References

  • Boness, A. J. (1964). Elements of a theory of stock-option value. Journal of Political Economy, 72(2), 163–175.

    Article  Google Scholar 

  • Chakrabarti, B. K. (2005). Econophys-Kolkata: A short story. In A. Chatterjee, S. Yarlagadda, & B. K. Chakrabarti (Eds.), Econophysics of wealth distributions (pp. 225–228). Milan: Springer.

    Chapter  Google Scholar 

  • Coco, L., Concas, G., & Marchesi, M. (2014). Using an artificial financial market for studying a cryptocurrency market. University of Cagliari, Italy Dipartimento Ingegneria Elettrica ed Elettronicaar Xiv:1406.6496v1 [q-fin.TR].

    Google Scholar 

  • Derman, E. (2004). My life as a quant – reflections on physics and finance. Hoboken, NJ: Wiley.

    Google Scholar 

  • Donmez, C. C. (2018). An econophysics approach to introduction uncertainty in dynamics of complex market structural models. In I. Nekrasova, O. Karnaukhova, & B. Christiansen (Eds.), Fractal approaches for modeling financial assets and predicting crises (pp. 1–22). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-3767-0.ch001

    Chapter  Google Scholar 

  • Easwaran, S., Dixit, M., & Sinha, S. (2015). Bitcoin dynamics: The inverse square law of price fluctuations and other stylized facts. In F. Abergel, H. Aoyama, B. Chakrabarti, A. Chakraborti, & A. Ghosh (Eds.), Econophysics and data driven modelling of market dynamics (pp. 121–128). Cham: Springer. https://doi.org/10.1007/978-3-319-08473-2_4

    Chapter  Google Scholar 

  • Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49(3), 283–306.

    Article  Google Scholar 

  • Ghosh, B., & Kozarević, E. (2018). Identifying explosive behavioral trace in the CNX Nifty Index: A quantum finance approach. Investment Management and Financial Innovations, 15(1), 208–223. https://doi.org/10.21511/imfi.15(1).2018.18

    Article  Google Scholar 

  • Ghosh, B., Krishna, M. C., Shrikanth, R., Kozarević, E., & Pandey, R. K. (2018). Predictability and herding of bourse volatility: An econophysics analogue. Investment Management and Financial Innovations, 15(2), 317–326. https://doi.org/10.21511/imfi.15(2).2018.28

    Article  Google Scholar 

  • Heukelom, F., Dopfer, K., Frantz, R., Mousavi, S., & Chen, S. H. (2016). Routledge handbook of behavioral economics. London: Taylor and Francis.

    Google Scholar 

  • Ivanov, A. I. (2018). Condensed lagrange equations. XVIII International Scientific Conference, VSU’2018, Sofia, Bulgaria.

    Google Scholar 

  • Külahoglu, T. (2001). Termodinamik entropi ve iletişim teorisi. Ankara: TMMOB Makine Mühendisleri Odası Yayınları.

    Google Scholar 

  • Levy, M., Levy, H., & Solomon, S. (1994, May). A microscopic model of the stock market: Cycles, booms, and crashes. Economics Letters, Elsevier, 45(1), 103–111.

    Google Scholar 

  • Li, Z. Z., Tao, R., Su, C. W., & Lobonţ, O. R. (2019). Does Bitcoin bubble burst? Quality & Quantity, 53(1), 91–105.

    Article  Google Scholar 

  • Mandelbrot, B. (1963). The variation of certain speculative prices. Journal of Business, 36(4), 394–419.

    Article  Google Scholar 

  • Mantegna, R. N., & Stanley, H. E. (1999). Introduction to econophysics: Correlations and complexity in finance. New York: Cambridge University Press.

    Book  Google Scholar 

  • Merton, R., & Scholes, B. (1972). The valuation of options contracts and a test of market efficiency. Journal of Finance, 27(2), 399–417.

    Article  Google Scholar 

  • Mimkes, J. (2004). A thermodynamic formulation of econophysics. In B. K. Chakrabarti, A. Chakraborti, & A. Chatterjee (Eds.), Econophysics and sociophysics: Trends and perspectives. Weinheim: Wiley.

    Google Scholar 

  • Oliveira, S. M., & Stauffer, D. (1999). Evolution, money, war, and computers – non-traditional applications of computational statistical physics. Stuttgart-Leipzig: Teubner.

    Google Scholar 

  • Sharma, B. G., Agrawal, S., Sharma, M., Bisen, D. P., & Sharma, R. (2011). Econophysics: A brief review of historical development, present status and future trends. arXiv preprint arXiv:1108.0977.

    Google Scholar 

  • Silva, A. C. (2005). Applications of physics to finance and economics: Returns, trading activity and income. arXiv:physics/0507022v1 [physics.soc-ph]

    Google Scholar 

  • Sornette, D. (2004). A complex system view of why stock markets crash. New Thesis, 1(1), 5–18.

    Google Scholar 

  • Stanley, H. E., Amaral, L. A. N., Canning, D., Gopikrishnan, P., Lee, Y., & Liu, Y. (1999). Econophysics: Can physicists contribute to the science of economics? Physica A: Statistical Mechanics and its Applications, 269(1), 156–169.

    Article  Google Scholar 

  • ul Haq, M. A., Usman, R. M., Bursa, N., & Özel, G. (2018). McDonald power function distribution with theory and applications. International Journal of Statistics and Economics, 19(2).

    Google Scholar 

  • Ulusoy, T. (2008). Ekonofizik ve finans: İMKB üzerine görgül bir çalışma/Econophysics and finance: An empirical study on ISE. Yayınlanmamış Doktora Tezi, Ankara Universitesi, PhD. Thesis, Ankara University.

    Google Scholar 

  • Ulusoy, T. (2017). Price fluctuations in econophysics. In Ü. Hacioğlu & H. Dinçer (Eds.), Global financial crisis and its ramifications on capital markets (pp. 459–474). Cham: Springer.

    Chapter  Google Scholar 

  • Venegas, P. (2017). Ethereum price prediction: The value investor’s guide initial coin offering (ICOS). In: Blockchain trustless crypto markets.

    Google Scholar 

  • Zhou, W. X., & Sornette, D. (2004). Antibubble and prediction of China’s stock market and real-estate. Physica A, 337(1–2), 243–268.

    Article  Google Scholar 

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Correspondence to Tolga Ulusoy .

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Ulusoy, T., Çelik, M.Y. (2019). Is It Possible to Understand the Dynamics of Cryptocurrency Markets Using Econophysics? Crypto-Econophysics. In: Hacioglu, U. (eds) Blockchain Economics and Financial Market Innovation. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-25275-5_12

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