Model Risk Analysis of Multiplier Technology Applied at Stock Valuation of Russian Companies

This work is a new direction in the authors’ previous study on applying the market multipliers in assessing the value of oil and gas companies. The work is based on the findings of statistical studies of multipliers calculated for the industry, as well as their volatility over a 12-year period — from 2006 to 2017 inclusively, as exemplified by 46 companies from nine sectors of the economy of the Russian Federation. The analysis of the risk measures Value-at-Risk (hereinafter VaR) and Expected Shortfall (hereinafter ES) was conducted by means of volatility calculated in different ways. In particular, the multiplier volatility was introduced by V. B. Minasyan. It was established that for all nine sectors of the Russian economy, calculated with conventional stock volatility statistics (when possible), risk valuation measures VaR and ES led to lower calculated risk values compared to those calculated using multiplier volatility. The results of the study are of interest to evaluators, investors and other interested parties, as it allows to analyze the general behavior of the stock value in Russian companies and to compare the change in indicators of various economic sectors in terms of multiplier technology.

company valuation, multiplier P/E, multiplier P/B, stock value, stock volatility, multiplier volatility, risk measure VaR, risk measure ES

1. Limitovskii M. A., Lobanova E. N., Minasyan V. B., Palamarchuk V.P. Corporate financial management. Moscow: Urait; 2017. 990 p. (In Russ.).

2. Cherkasova V.A., Grigor’eva S.A., Kozlov S.O. Modeling market multipliers in emerging capital markets. Upravlencheskii uchet i finansy = Management Accounting and Finance Journal. 2016;(2):108–129. (In Russ.).

3. Ivko D.G.Multipliers method application when estimating the cost of the RF oil and gas companies. Problemy ekonomiki i upravleniya neftegazovym kompleksom = Problems of Economics and Management of Oil and Gas Complex. 2017;(4):40–49. (In Russ.).

4. IvkoD.G.Features of the valuation of Russian companies by the method of market multipliers. Finansy i upravlenie = Finance and Management. 2017;(1):34–46. (In Russ.). DOI: 10.7256/2409–7802.2017.1.22087

5. Ivko D.G.Assessing the value of Russian companies: The risks of using the market multipliers method. Finansy i upravlenie = Finance and Management. 2018;(1):8–22. (In Russ.). DOI: 10.25136/2409–7802.2018.1.25448

6. Cheng C., McNamara R. The valuation accuracy of the price-earnings and price-book benchmark valuation methods. Review of Quantitative Finance and Accounting. 2000;15(4):349–370. DOI: 10.1023/A:1012050524545

7. Barnes R. Earnings volatility and market valuation: An empirical investigation. SSRN Electronic Journal. 2002. DOI: 10.2139/ssrn.335380

8. Fama E. F., French K. R. Value versus growth: The international evidence. The Journal of Finance. 1998;53(6):1975–1999. DOI: 10.1111/0022–1082.00080

9. Koutmos D. The P/E multiple and market volatility revisited. International Research Journal of Finance and Economics. 2010;(43):23–32.

10. Liu J., Nissim D., Thomas J. Equity valuation using multiples. Journal of Accounting Research. 2002;40(1):135–172. DOI: 10.1111/1475–679X.00042

11. Seghal S., Pandey A. The behaviour of price multiples in India (1990–2007). Asian Academy of Management Journal of Accounting and Finance. 2009;5(1):31–65. URL: http://web.usm.my/journal/aamjaf/Vol%205–1– 2009/5–1–2.pdf

12. Minasyan V.B. Assessment of risks arising from the application of technology multipliers for stock valuation. Finansy: teoriya i praktika = Finance: Theory and Practice. 2018;22(3):124–135. (In Russ.). DOI: 10.26794 / 2587–5671–2018–22–3–124–135

13. Crouhy M., Galai D., Mark R. The essentials of risk management. Transl. from Eng. Moscow: Urait; 2017. 390 p. (In Russ.).

14. Limitovskii M.A., Minasyan V.B.Investment project risks analysis. Upravlenie finansovymi riskami. 2011;(2):132– 150. (In Russ.).

15. Minasyan V.B. Incentives and moral risks in the relationship between a principal and an agent. Upravlenie finansovymi riskami. 2015;(3):172–184. (In Russ.).