Subject The article addresses behavers, i.e. persons taking financial decisions on the basis of mechanisms and principles underlying behavioral analytical tools; behavioral finance tools and extrapolation as a key element in behavioral model building. Objectives The aim is to develop and describe the theoretical basis of extrapolation mechanisms and their realization in behavioral models. Methods I employ methods of analysis and synthesis, reveal the degree of formalization of the problem and apply logical methods of research. Results The developed theoretical framework for extrapolation principles in behavioral finance is illustrated by numerous behavioral models. I specify principles and driving factors of extrapolation in taking financial decisions, offer a mechanism describing the effect of these driving factors. I tested the model on the factual material of foreign markets. The findings may help analyze investors' behavior in the stock market, in corporate finances in conditions of instability and crisis. Conclusions Currently, behavioral analytical tools based on extrapolation have been formed and are being applied. Owing to these tools, it is possible to make highly accurate forecasts and describe phenomena in financial markets. To develop such models and integrate them with technical analysis is a promising area of new research.
Bogatyrev S.Yu. [Developing the concept of behavioral finance in the Russian financial science]. Finansy i kredit = Finance and Credit, 2015, no. 42, pp. 2712–2726. URL: Link (In Russ.)
Bogatyrev S.Yu. [Prospect theory cost function in Russian practice]. Finansy i kredit = Finance and Credit, 2017, vol. 23, iss. 46, pp. 2762–2776. (In Russ.) URL: Link
Culter D.M., Poterba J.M., Summers L.H. Speculative Dynamics and the Role of Feedback Traders. The American Economic Review, 1990, vol. 80, iss. 2, pp. 63–68. URL: Link
De Long J.B., Shleifer A., Summers L.H., Waldmann R.J. Positive Feedback Investment Strategies and Destabilizing Rational Speculation. The Journal of Finance, 1990, vol. 45, pp. 379–395. URL: Link
Hong H., Stein J.C. A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets. The Journal of Finance, 1999, vol. 54, iss. 6, pp. 2143–2184. URL: Link
Barberis N., Shleifer A. Style Investing. Journal of Financial Economics, 2003, vol. 68, pp. 161–199. URL: Link
Greenwood R., Shleifer A. Expectations of Returns and Expected Returns. Review of Financial Studies, 2014, vol. 27(3), pp. 714–746. URL: Link
Barberis N., Greenwood R., Jin L., Shleifer A. X-CAPM: An Extrapolative Capital Asset Pricing Model. Journal of Financial Economics, 2015, vol. 115(1), pp. 1–24. URL: Link
Cassella S., Gulen H. Extrapolation Bias and the Predictability of Stock Returns by Price-Scaled Variables. SSRN, 2017, September. URL: Link
Koijen R.S.J., Schmeling M., Vrugt E.B. Survey Expectations of Returns and Asset Pricing Puzzles. IFA Working Paper,2015. URL: Link
Glaeser E.L., Nathanson C.G. An Extrapolative Model of House Price Dynamics. NBER Working Paper Series, 2015, no. 21037. URL: Link
Statman M. Behaviorial Finance: Past Battles and Future Engagements. Financial Analysts Journal, 1999, vol. 55, iss. 6, pp. 18–27. URL: Link
Statman M., Fisher K.L., Anginer D. Affect in a Behavioral Asset-Pricing Model. Financial Analysts Journal, 2008, vol. 64, iss. 2, pp. 87–90. URL: Link
Shiller R.J. Do Stock Prices Move Too Much to Be Justified by Subsequent Changes in Dividends? TheAmerican Economic Review, 1981, vol. 71, iss. 3, pp. 421–436. URL: Link
Tversky A., Kahneman D. Judgment under Uncertainty: Heuristics and Biases. Science, 1974, vol. 185, no. 4157, pp. 1124–1131. URL: Link
Barberis N., Greenwood R., Jin L., Shleifer A. Extrapolation and Bubbles. NBER Working Paper Series,2016, no. 21944. URL: Link
Fedotova M.A., Bogatyrev S.Yu., Bershadskaya A.I. [Behavioral analysis of the Russian currency market]. Audit i finansovyi analiz = Audit and Financial Analysis, 2015, no. 5, pp. 260–265. URL: Link (In Russ.)
