Information Asymmetry and Big Data: Should Financial Market Paradigm Be Revised?

1565
DOI: 10.20542/0131-2227-2017-61-3-5-14
V. Milovidov (vmilovidov@hotmail.com),
MGIMO University, 76, Prosp. Vernadskogo, Moscow, 119454, Russian Federation 

 

Abstract. The article deals with the behavioral mechanisms of functioning of modern financial market. Author points out to the formation of a permanent latent information asymmetry as well as fragmentation of information preferences of different investors’ groups. This leads to concentration of “bid data” and related technologies with the professional market participants. However, such intellectualization of financial transactions does not preclude the investors from fallacy in asset selection and financial losses. Laypersons as well as professionals continue to follow their subjective motivations (gut feelings, intuition) and all of them are proving to be irrational. Author cites the results of studies showing that overconfidence of professionals worsens their investment results. Meantime, non-professional retail investors can not only move the market prices, but also outperform the professionals. The likelihood that professionals will outperform laypersons in all financial transactions is doubtful. This behavior increases overall market uncertainty and reduces the accuracy of market forecasts. Author agrees with conclusions of Western researchers that irrational behavior of professional well-informed investors may reduce negative impact of information asymmetry on the non-professional and not informed investors. Under these conditions, the development of “big data” processing and analyzing technologies cannot radically change the behavior of investors and increase the rationality of the financial market. However, penetration of mobile technologies in capital markets can increase the ability of retail investors to monitor the market as well as their ability to select assets. These technologies may help principals in agent–principal relations to protect their interests. As for the professional investors and financial institutions, “big data” helps them to establish more flexible and friendly client relation with retail customers. Still, the author concludes that the basic financial market paradigm is not yet to be revised. 

Keywords: latent information asymmetry, uncertainty, big data, financial market 


REFERENCES

1. Nazaruk A., Rauchman M. Big Data in Capital Markets. ACM SIGMOD/PODS Conference, 2013, June 22–27, New York. Available at: http://www.sigmod.org/2013/keynote_1.shtml (accessed 25.10.2016).

2. The Future of Financial Services. How Disruptive Innovations Are Reshaping the Way Financial Services Are Structured, Provisioned and Consumed. Davos, World Economic Forum. Final Report 2015. 178 p.

3. The Future of Financial Infrastructure. An Ambitious Look how Blockchain Can Reshape Financial Services. Davos, World Economic Forum, August, 2016. 130 p.

4. Marwala T., Hurwitz E. Artificial Intelligence and Asymmetric Information Theory. Available at: https://arxiv.org/abs/1510.02867 (accessed 25.10.2016).

5. Wason P.C. Reasoning. New Horizons in Psychology. Foss B.M., ed. Harmondsworth, Penguin Books, 1966. 448 p.

6. Wason P.C. Natural and Contrived Experience in a Reasoning Problem. Quarterly Journal of Experimental Psychology, 1971, no. 23, pp. 63-71. DOI: 10.1080/00335557143000068.

7. Shafir E., Tversky A. Thinking through Uncertainty: Nonconsequetial Reasoning and Choice. Cognitive Psychology, 1992, no. 24, pp. 449-474. DOI: 10.1016/0010–0285(92)90015-T.

8. Google Finance. DJI Index. Historical Prices. Available at: https://www.google.ru/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjMjbuXvvbPAhVLlSwKHRiHC0kQFggcMAA&url=https%3A%2F%2Fwww.google.com%2Ffinance%2Fhistorical%3Fq%3Dindexdjx%3A.dji&usg=AFQjCNG4lLNCANEnIoj_3W_R4Dy_TFBtjQ&sig2=FAl_DG0gddGf3WqWX71fBg&bvm=bv.136593572,d.bGg&cad=rjt (accessed 25.10.2016).

9. Google Finance. CBOE, Volatility Index. Available at: https://www.google.ru/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiviLi3vvbPAhVG8ywKHXG3AwAQFggcMAA&url=http%3A%2F%2Fwww.google.com%2Ffinance%2Fhistorical%3Fq%3DINDEXCBOE%3AVIX%26ei%3D9XNdUqi6BIrqkwPAew&usg=AFQjCNFtphagK4tTktKGvlcUVM4AXcl5tg&sig2=JhGjVjMSclVtEJqNyHQ1Pg&bvm=bv.136593572,d.bGg&cad=rjt (accessed 25.10.2016).

10. Torngren G., Montgomery H. Worse than Chance? Performance and Confidence among Professionals and Laypeople in the Stock Market. The Journal of Behavioral Finance, 2004, vol. 5, no. 3, pp. 148-153. DOI: 10.1207/s15427579jpfm9503_3.

11. Kandasamy N., Garfinkel S.N., Page L., Hardy B., Critchley H.D., Gurnell M., Coates J.M. Interceptive Ability Predicts Survival on London Trading Floor. Scientific Reports, 2016, September 19, pp. 1-6. Available at: http://www.nature.com/articles/srep32986 (accessed 25.10.2016). DOI: 10.1038/srep32986.

12. Cowles A. Can Stock Market Forecasters Forecast? Econometrica, July 1933, vol. 1, issue 3, pp. 309-324. DOI: 10.2307/1907042.

13. Gervais S., Odean T. Learning to Be Overconfident. The Review of Financial Studies, Spring 2001, vol. 14, no. 1, pp. 1-27. DOI: 10.1093/fts/14.1.1.

14. Camerer C., Loewenstein G., Weber M. The Curse of Knowledge in Economic Settings: an Experimental Analysis. The Journal of Political Economy, Oct. 1989, vol. 97, no.5, pp. 1232-1254. DOI: 10.1086/261651.

15. Barber B.M., Odean T., Ning Zhu. Do Retail Traders Move Markets? The Review of Financial Studies, 2009, vol. 22, no. 1, pp. 151-186. DOI: 10.1093/rfs/hhn035.

16. Toth B., Scalas E., Huber J., Kirchler M. The Value of Information in Multi Agent Market Model. The European Physical Journal B, January 1, 2007, vol. 55, no. 1, pp. 89-92. DOI: 10.1140/epjb/e2007-00046-2.

17. Erickson S., Rothberg H. Big Data and Knowledge Management: Establishing a Conceptual Foundation. The Electronic Journal of Knowledge Management, 2014, vol. 12, issue 2, pp. 108-116. Available at: http://www.ejkm.com/volume12/issue2/p108 (accessed 25.10.2016). 


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For citation:
Milovidov V. Information Asymmetry and Big Data: Should Financial Market Paradigm Be Revised?. World Eonomy and International Relations, 2017, vol. 61, no. 3, pp. 5-14. https://doi.org/10.20542/0131-2227-2017-61-3-5-14



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