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RISK MANAGEMENT OF INVESTMENT PORTFOLIO BY FUTURE

Abstract

The article considers the problem of the dynamic risk management of the investment portfolio using future contracts. The management starts with the concept of effective inhomogeneous portfolios, which contain futures together with underlying asserts. The effective portfolios are defined as the ones of the minimal dispersion with the expected return greater or equal to the specified value. Risk is measured by the probability of losing of a certain part of the portfolio value. The control parameters are the number of futures for each asset of portfolio, which is defined from the condition of effectiveness of portfolio and risk acceptability on each step.The effective adaptive strategies of portfolio risk management together with comparative analysis on a concrete example are presented. The proposed approach provides the forecast correction of the expected income and its variance for the assets with the emergence of new data. The financial time series are determined by volatility clustering, i.e. relative or absolute price changes tend to keep high or low magnitude for some time, with the result that clusters are created - periods of high or low volatility. Then adaptive estimate of correlational relationships between asset prices are essential because the degree of correlational relationship also changes in time. So the correlation of future and spot price changes considerably increases while approaching to performance of contracts. For taking into account of data instability of dispersion and correlation simple methods of volatility forecasting and correlation of relative changes of price data based on exponential smoothing are implemented.

About the Authors

A. K. Kerimov
People’s Friendship University of Russia
Russian Federation

Associate Professor of Mathematical Economic Modeling Department,

Moscow



Y. F. Kasimov
Financial University under the Government of Russian Federation
Russian Federation

Associate Professor of Chair of Data Analysis, Decision Making Theory and Financial Technology,

Moscow



References

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3. Kerimov А.К. Strakhovaniye investitsionnogo portfelya srochnymi kontraktami [Meanvariance future hedging for security portfolio], Proceedings of RUDN, 2014. No 3. pp. 109–116. (in Russian)

4. Kerimov A.К. Finansovyye f'yuchersnyye kontrakty [Financial future contracts]. Мoscow, Financial University, 2013, 80 p. (in Russian)

5. Lukashin Y.P. Adaptivnyye metody kratkosrochnogo prognozirovaniya [Adaptive methods of short-term forecasting]. Moscow, Statistics, 1981, 251 p. (in Russian)

6. Melnikov A.V., Popova N.V., Skornjakova V.S. Matematicheskiye metody finansovogo analiza [Mathematical methods of financial analysis]. Moscow, Ankil, 2006, 440 p. (in Russian)

7. Engle R.F. Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometric. 1982, vol. 5, no. 4, pp. 987–1007.


Review

For citations:


Kerimov A.K., Kasimov Y.F. RISK MANAGEMENT OF INVESTMENT PORTFOLIO BY FUTURE. Civil Aviation High Technologies. 2017;20(2):174-183. (In Russ.)

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ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)