+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Financial Analytics: Science and Experience
 

A new approach to assessment of risk associated with shares: a methodology and practical use

Vol. 8, Iss. 22, JUNE 2015

PDF  Article PDF Version

Available online: 14 June 2015

Subject Heading: RISK, ANALYSIS AND EVALUATION

JEL Classification: 

Pages: 45-54

Sizykh D.S. Moscow State Industrial University, Trapeznikov Institute of Control Sciences, RAS, Moscow, Russian Federation
D.Sizykh@gmail.com

Sizykh N.V. Moscow State Industrial University, Trapeznikov Institute of Control Sciences, RAS, Moscow, Russian Federation
sizykh@mail.ru

Importance Share quotations and dynamics of their fluctuation are influenced by factors, which generate the market risk due to their uncertainty. The risk is rather difficult to assess and forecast. Whereas we can see more and more information on various factors influencing indicators of the risk, cross-disciplinary nature of arising threats, and the current difficulties relating to risk assessment using the existing methods, it contributes to new researches and developing new methods.
     Objectives The research aims at analyzing a practical use of the volatility index of share quotation in the stock market as one of the indicators reflecting the risk of shares. The research pursues devising a method for assessing the indicator.
     Methods Using the methods of comparison with a reference indicator, we analyze how stock quotes change in the stock market. We apply a matrix approach involving triangle matrices, and econometric methods.
     Results We propose the volatility index of share prices, which may be used as one of the methods to assess the risk of securities in the stock market. We devise a method to measure the indicator. The article also analyzes specific aspects and possibilities of using the volatility index in order to assess the risk. We compare results of the risk assessment using the proposed index with similar ones resulting from the Value-at-Risk method, root-mean-square deviation, return on shares. The method was tested in analyzing shares of several companies in the US and European stock markets within 2004 to 2013.
     Conclusions and Relevance We conclude that it is possible to use the volatility index of share prices as a separate indicator of risk assessment and addition to assessments using the VaR method. The proposed indicator may be useful to take decisions relating to market risks, evaluation of shares quality, share-based ratings, examine the efficiency of shares in the stock market, etc.

Keywords: securities risk, stock quotes, return, risk, share, correlation analysis, triangular matrix

References:

  1. Brealey R., Myers S. Printsipy korporativnykh finansov [Principles of Corporate Finance]. Moscow, Olimp-Biznes Publ., 2004, 1008 p.
  2. Härtfelder M., Lozovskaya E.S., Khanush E. Fundamental'nyi i tekhnicheskii analiz rynka tsennykh bumag [Fundamental and technical analysis of the security market]. Moscow, PAIMS Publ., 2004, 352 p.
  3. Andersen T., Bollerslev T., Christoffersen P., Diebold F. Volatility and Correlation Forecasting, in the Handbook of Economic Forecasting. Ed. by Elliot G., Granger C., Timmerman A. Amsterdam, North Holland, 2005.
  4. Carol A. Market Risk Analysis, Value at Risk Models. New Jersey, John Wiley & Sons, 2009, 492 p.
  5. Danielsson J. The Emperor has no Clothes: Limits to Risk Modeling. Working paper. Financial Markets Group, London, London School of Economics, 2000.
  6. Giot P., Laurent S. Value-at-Risk for Long and Short Trading Positions. Journal of Applied Econometrics, 2003, vol. 18, pp. 641–664.
  7. Higgins R. Analysis for Financial Management with S&P bind-in card. McGraw-Hill/Irwin Series in Finance, Insurance and Real Estate, 2008, 448 p.
  8. Holton G.A. Value-at-Risk: Theory and Practice. 2nd ed. Available at: Link.
  9. Holton G.A. Value-at-Risk: Theory and Practice. San Diego, Academic Press, 2003.
  10. Indices. Available at: Link.
  11. Jorion P. Value at Risk: the New Benchmark for Managing Financial Risk. 2nd ed. Library of Congress Cataloging-in-Publication Data, 2001.
  12. Market Overview Bonds. Available at: Link.
  13. Market Summary. Available at: Link.
  14. Marston F.C., Harris R.S. The Market Risk Premium. Expectation Estimates Using Analysts. Forecasts. Journal of Applied Finance, 2001.
  15. McNeil A. Extreme Value Theory for Risk Managers. Department Mathematik. Zürich, ETH Zentrum, 1999.
  16. Mina J., Xiao J. Return to Risk Metrics: The Evolution of a Standard. New York, Risk Metrics Group, 2001.
  17. Risk Metrics, Corporate Metrics™ Technical Document. New York, Risk Metrics Group, 1999.
  18. Sizykh D. Stable Growth Ratio of Share Prices: Evaluation and Use. Proceedings of 14th FRAP – Finance, Risk and Accounting Management Perspectives Conference, September 22–24, 2014. Enns, ACRN Oxford Publishing House, 2014.
  19. Stein J., Usher S., LaGattuta D., Youngen J. A Comparables Approach to Measuring Cashflow-at-Risk for Non-Financial Firms. Journal of Applied Corporate Finance, 2001, vol. 13, no. 4, pp. 100–109.
  20. Velthuis C. Surfing the Long Summer: How Market Leaders Grow Faster Than Their Markets. Infinite Ideas, 2010.

View all articles of issue

 

ISSN 2311-8768 (Online)
ISSN 2073-4484 (Print)

Journal current issue

Vol. 17, Iss. 1
March 2024

Archive