

Pricing models of shares of Russian companies and their practical application
https://doi.org/10.32609/0042-8736-2019-3-48-76
Abstract
The article analyzes the problems of applying stock pricing models in the Russian stock market. The novelty of the study lies in the peculiarities of the methodology used and the substantive conclusions on the specifics of the influence of fundamental factors on the pricing of shares of Russian companies. The study was conducted using its own 5-factor basic pricing model based on a sample of the most complete number of issues of shares of Russian issuers and a long time horizon, from 1997 to 2017. The market portfolio was the widest for a set of issuers. We consider the factor model as a kind of universal indicator of the efficiency of the stock market performance of its functions. The article confirms the significance of factors of a broad market portfolio, size, liquidity and, in part, momentum (inertia). However, starting from 2011, the significance of factors began to decrease as the qualitative characteristics of the stock market deteriorated due to the outflow of foreign portfolio investment, combined with the low level of development of domestic institutional investors. Also identified is the cyclical nature of the actions of company size and liquidity factors. Their ability to generate additional income on shares rises mainly at the stage of the fall of the stock market. The results of the study suggest that as domestic institutional investors develop on the Russian stock market, factor investment strategies can be used as a tool to increase the return on investor portfolios.
Keywords
JEL: D53; E44; G11; G12; G17
About the Authors
Alexander E. AbramovRussian Federation
Moscow
Alexander D. Radygin
Russian Federation
Moscow
Maria I. Chernova
Russian Federation
Moscow
References
1. Abramov A. (2017). The Russian financial market: Drivers of development and constrains to growth. Moscow: Gaidar Institute Publ. (In Russian).
2. Abramov A., Radygin A. (2007). Russian financial market under state capitalism. Voprosy Ekonomiki, No. 6, pp. 28—44. (In Russian). https://doi.org/10.32609/0042-8736-2007-6-28-44
3. Abramov A., Radygin A., Chernova M., Akshentseva K. (2015). Effectiveness of pension saving management: Theoretical and empirical aspects. Voprosy Ekonomiki, No. 7, pp. 26—44. (In Russian). https://doi.org/10.32609/0042-8736-2015-7-26-44
4. Bank of Russia (2016). Overview of the money market and derivatives market, No. 4, III quarter. (In Russian). http://www.cbr.ru/Collection/Collection/File/8864/MMR_16Q3.pdf
5. Collins J. (2014). Good to great: Why some companies make the leap… and others don’t. Moscow: Mann, Ivanov and Farber. (In Russian).
6. Mikova E. S. (2014). Momentum effect in the stock price dynamics of the Russian market. Ph.D. thesis. Moscow. (In Russian).
7. Amihud Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, Vol. 5, No. 1, pp. 31—56.
8. Arnott R., Beck N., Kalesnik V., West J. (2016). How can “smart beta” go horribly wrong?Available at SSRN: https://dx.doi.org/10.2139/ssrn.3040949
9. Avramov D., Chordia T. (2006). Asset pricing models and financial market anomalies. Review of Financial Studies, Society for Financial Studies, Vol. 19, No. 3, pp. 1001—1040.
10. Banz R. (1981). The relationship between return and market value of common stocks. Journal of Financial Economics, Vol. 9, No. 1, pp. 3—18.
11. Basu S. (1977). Investment performance of common stocks in relation to their price—earnings ratios: A test of the efficient market hypothesis. Journal of Finance, Vol. 32, No. 3, pp. 663—682.
12. Bekaert G., Harvey R. C. (2003). Emerging markets finance. Journal of Empirical Finance, Vol. 10, No. 1—2, pp. 3—55.
13. Betermier S., Calvet L., Sodini P. (2017). Who are the value and growth investors? Journal of Finance, Vol. 72, No. 1, pp. 5—46.
14. Burnham T., Gakidis H., Wurgler J. (2018). Investing in the presence of massive flows: The case of MSCI country reclassifications. Financial Analysts Journal, Vol. 74, No. 1, pp. 77—87.
15. Cakici N., Tang Y., Yan A. (2016). Do the size, value, and momentum factors drive stock returns in emerging markets? Journal of International Money and Finance, Vol. 69, pp. 179—204.
16. Campbell J., Vuolteenaho T. (2004). Bad beta, good beta. American Economic Review, Vol. 94, No. 5, pp. 1249—1275.
17. Campbell H., Yan L., Heqing Z. (2016). …and the cross-section of expected returns. Review of Financial Studies, Vol. 29, No. 1, pp. 5—68.
18. Carhart M. (1997). On persistence in mutual fund performance. Journal of Finance, Vol. 52, No. 1, pp. 7—82.
19. Chana K., Hammed A. (2006). Stock price synchronicity and analyst converge in emerging markets. Journal of Financial Economics, Vol. 80, No. 1, pp. 115—147.
20. Dash S., Mahakud J. (2014). Do asset pricing models explain size, value, momentum effects? The case of an emerging stock market. Journal of Emerging Market Finance, Vol. 13, No. 3, pp. 217—251.
21. Ebrahim R. M., Girma S., Shah M. E., Williams J. (2014). Rationalizing the value premium in emerging markets. International Financial Markets, Institutions and Money, Vol. 29, pp. 51—70.
22. Fama E. F., French K. R. (1992). The cross-section of expected stock returns. Journal of Finance, Vol. 47, No. 2, pp. 427—465.
23. Fama E. F., French K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, Vol. 33, pp. 3—56.
24. Fama E. F., French K. R. (1998). Value versus growth: The international evidence. Journal of Finance, Vol. 53, No. 6, pp. 1975—1999.
25. Fama E. F., French K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, Vol. 116, No. 1, pp. 1—22.
26. Gordon M., Shapiro E. (1956). Capital equipment analysis: The required rate of profit. Management Science, Vol. 3, No. 1, pp. 102—110.
27. Griffin J. M. (2002). Are the Fama and French factors global or country specific? Review of Financial Studies, Vol. 15, No. 3, pp. 783—803.
28. Her L. J. F., Masmoudi T., Suret M. J. (2004). Evidence to support the four factor pricing model from the Canadian stock market. Journal of International Financial Markets, Vol. 14, No. 4, pp. 313—328.
29. Jegadeesh N., Titman S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, Vol. 48, No. 1, pp. 65—91.
30. Keene A. M., Peterson R. D. (2007). The importance of liquidity as a factor in asset pricing. Journal of Financial Research, Vol. 30, No. 1, pp. 91—109
31. Lakonishok J., Shleifer A., Vishny R. W. (1994). Contrarian investment, extrapolation, and risk. Journal of Finance, Vol. 49, No. 5, pp. 1541—1578.
32. Lam K. S. K., Tam L. H. K. (2011). Liquidity and asset pricing: Evidence from the Hong Kong stock market. Journal of Banking & Finance, Vol. 35, No. 9, pp. 2217—2230.
33. Lettau M., Ludvigson S. (2001). Resurrecting the (C)CAPM: A cross-sectional test when risk premia are time-varying. Journal of Political Economy, Vol. 109, No. 6, pp. 1238—1287.
34. Lintner J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics, Vol. 47, No. 1, pp. 13—37.
35. Lischewski J., Voronkova S. (2012). Size, value and liquidity. Do they really matter on an emerging stock market? Emerging Markets Review, Vol. 13, pp. 8—25.
36. Lo A., Mackinlay A. C. (1990). Data-snooping biases in tests of financial asset pricing models. Review of Financial Studies, Vol. 3, No. 3, pp. 431—467.
37. McLean D., Pontiff J. (2016). Does academic research destroy stock return predictability? Journal of Finance, Vol. 71, No. 1, pp. 5—31.
38. Merton R. (1973). An intertemporal capital asset pricing model. Econometrica, Vol. 41, No. 5, pp. 867—887.
39. Morck R., Yeung B., Yu W. (2000). The informational content of stock markets: Why do emerging markets have synchronous stock price movements? Journal of Financial Economics, Vol. 58, No. 1—2, pp. 215—260.
40. MSCI (2015). Factor focus: Value. Factor investing. https://www.msci.com/documents/1296102/1339060/Factor+Factsheets+Value.pdf/4428f243-31a2-4cb2-876b-cb04c6b1a2e7
41. Narayan K. P., Zheng X. (2010). Market liquidity risk factor and financial market anomalies: Evidence from the Chinese stock market. PacificBasin Finance Journal, Vol. 18, No. 2, pp. 509—520.
42. Perold A. (2004). The capital asset pricing model. Journal of Economic Perspectives, Vol. 18, No. 3, pp. 3—24.
43. Pastor L., Stambaugh R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, Vol. 111, No. 3, pp. 642—685.
44. Petkova R., Zhang L. (2005). Is value riskier than growth? Journal of Financial Economics, Vol. 78, pp. 187—202.
45. Sehgal S., Jain S. (2011). Short-term momentum patterns in stock and sectoral returns: Evidence from India. Journal of Advances in Management Research, Vol. 8, No. 1, pp. 99—122.
46. Sharpe W. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance, Vol. 19, No. 3, pp. 425—442.
47. Subrahmanyam A. (2010). The cross-section of expected stock returns: What have we learnt from the past twenty-five years of research? European Financial Management, Vol. 6, No. 1, pp. 27—42.
48. Treynor J. (1962). Toward a theory of market value of risky assets. Available at SSRN: https://dx.doi.org/10.2139/ssrn.628187
49. Xing X., Anderson R. (2011). Stock price synchronicity and public firm-specific information. Journal of Financial Markets, Vol. 14, No. 2, pp. 115—147.
Review
For citations:
Abramov A.E., Radygin A.D., Chernova M.I. Pricing models of shares of Russian companies and their practical application. Voprosy Ekonomiki. 2019;(3):48-76. (In Russ.) https://doi.org/10.32609/0042-8736-2019-3-48-76