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Could the Volatility Be a Measure of Investors’ Optimism?

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Experimental and Quantitative Methods in Contemporary Economics (CMEE 2018)

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

The optimism is rather the psychological term describing belief of someone in success or hopefulness and confidence in the decision-making process. After Kahneman and Tversky’s “prospect theory” (Kahneman and Tversky in Econometrica 47:263–291, 1979 [9]) the perception of the role of psychology in economic activities of investors was totally changed. The works of these two authors revolutionized the academic attempt to human judgement. The using of terms “heuristic and biases” caused that errors of theoretical models became to be explained as the result of the influence of human nature (Gilovich and others in Heuristic and biases: the psychology of intuitive judgement. Cambridge University Press, UK, 2002 [5]). The trading volume on stock exchanges always confirms market trends and signals from technical analysis. It is possible to assume that during the growing trend, increase in trading volume describes a belief of investors in the bull market and during decreasing trend in bear market. Both situations could be treated as symptoms of optimism and pessimism of investors. The main goal of the article is to examine that the volatility could be an indicator of investors’ optimism. So, the main hypothesis is that trading volume could be modelled by the market risk (standard deviation of rates of return) using econometric models. Such hypothesis is supported by additional—the sign of the rate of return is a significant binary variable for econometrical describing of trading volume. Different methods of estimation of the volatility parameter will be used in the research—from classical statistics to ARCH-type models. Different length of the time window of the standard deviation calculating was taken into account and the 180 trading days window was chosen for the analysis according to similar works from the past (Majewska in Przeg. Stat. 1–2, 161–170, 2000 [12]). The data used for verification of raised hypothesis was taken from the Warsaw Stock Exchange, and it concerns the group of chosen stock exchange indexes listed on the Warsaw Stock Exchange.

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Reference

  1. Arms Jr., R.: Profits in Volume: Equivolume Charting. Marketplace Books, USA (1999)

    Google Scholar 

  2. Barber, B.M., Odean, T.: Boys will be boys: gender, overconfidence, and common stock investment. Quart. J. Econ. 261–292 (2001)

    Article  Google Scholar 

  3. Bollerslev, T.: Generalized autoregressive conditional heteroskedasticity. J. Econom. 31, 307–327 (1986)

    Article  Google Scholar 

  4. Engle, R.F.: Autoregressive conditional heteroskedasticity with estimates of the variance of U.K. inflation. Econometrica 50, 987–1008 (1982)

    Article  Google Scholar 

  5. Gilovich, T., Griffin, D., Kahneman, D. (eds.): Heuristic and Biases: The Psychology of Intuitive Judgement. Cambridge University Press, UK (2002)

    Google Scholar 

  6. Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424–438 (1969)

    Article  Google Scholar 

  7. Granger, C.W.J.: Testing for causality: a personal viewpoint. J. Econ. Dynam. Control 2, 329–352 (1980)

    Article  Google Scholar 

  8. Gursoy, G., Yuksel, As., Yuksel, Ay.: Trading volume and stock market volatility: evidence from emerging stock markets. Investment Manage. Financ. Innovations 5(4–1) (2008)

    Google Scholar 

  9. Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47(2), 263–291 (1979)

    Article  Google Scholar 

  10. Langer, E.J.: The illusion of control. J. Pers. Soc. Psychol. 32(2), 311–328 (1975)

    Article  Google Scholar 

  11. Lewicka, M.: Confirmation bias. Cognitive error or adaptive strategy of action control? In: Kofta, M., Weary, G., Sedek, G. (eds.) Personal Control in Action, pp. 233–258. Plenum Press, New York (1998)

    Chapter  Google Scholar 

  12. Majewska, A.: Szacowanie zmienności na rynku opcji. Przeg. Stat. 1–2, 161–170(2000) (in Polish)

    Google Scholar 

  13. Majewski, S.: The Influence of Behavioural Factors on the Market Stocks Valuation. Quantitative Approach. WNUS, Szczecin (2012). (in Polish)

    Google Scholar 

  14. Mestel, R., Gurgul, H., Majdosz, P.: The empirical relationship between stock returns, return volatility and trading volume on Austrian Stock Market. https://www.researchgate.net (2003). Accessed 12.02.2019

  15. Murphy, J.J.: Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York Institute of Finance, New York, USA (1999)

    Google Scholar 

  16. Sewell, M.: Technical Analysis. University College London, London, UK. http://www.technicalanalysis.org.uk/technical-analysis.pdf (2007). Accessed 13.02.2019

  17. Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185(4157), 1124–1131 (1974). New Series

    Article  Google Scholar 

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Majewski, S. (2020). Could the Volatility Be a Measure of Investors’ Optimism?. In: Nermend, K., Łatuszyńska, M. (eds) Experimental and Quantitative Methods in Contemporary Economics. CMEE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30251-1_10

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