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Futures hedging: Multivariate GARCH with dynamic conditional correlations (in Russian)

Author

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  • Alexei Kolokolov

    (Plekhanov Russian University of Economics, Moscow, Russia
    University of Rome 'Tor Vergata', Rome, Italy)

Abstract

This article studies modeling dependence between futures and spot prices of financial indices and verifies a practical value of econometric models for futures hedging using Russian and foreign data. The dynamics of futures and spot prices is described by an error correction model, while volatilities and correlations are modeled by various multivariate GARCH models with dynamic conditional correlations of different degree of detail. The empirical investigation carried out in the article can answer questions on effectiveness of hedging strategies based on multivariate GARCH models, on similarities and differences of dependencies between futures and basic assets in Russian and foreign financial markets, and on a reasonable degree of detail in multivariate GARCH modeling.

Suggested Citation

  • Alexei Kolokolov, 2011. "Futures hedging: Multivariate GARCH with dynamic conditional correlations (in Russian)," Quantile, Quantile, issue 9, pages 61-75, July.
    • Handle: RePEc:qnt:quantl:y:2011:i:9:p:61-75
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    1. François Gourio & Jianjun Miao, 2010. "Firm Heterogeneity and the Long-Run Effects of Dividend Tax Reform," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 131-168, January.
    2. Weeds, Helen, 2012. "Superstars and the long tail: The impact of technology on market structure in media industries," Information Economics and Policy, Elsevier, vol. 24(1), pages 60-68.
    3. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    4. van Damme, E.E.C., 2002. "The Dutch UMTS-auction," Other publications TiSEM e33a97f5-c69b-4c3b-9aca-4, Tilburg University, School of Economics and Management.
    5. Chris Brooks & Olan T. Henry & Gita Persand, 2002. "The Effect of Asymmetries on Optimal Hedge Ratios," The Journal of Business, University of Chicago Press, vol. 75(2), pages 333-352, April.
    6. Fubing Su & Ran Tao, 2017. "The China model withering? Institutional roots of China’s local developmentalism," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 230-250, January.
    7. Kontek, Krzysztof, 2010. "Classifying Behaviors in Risky Choices," MPRA Paper 23845, University Library of Munich, Germany.
    8. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    9. C. Y. Tzeng, 1998. "Optimal Control of a Ship for a Course-Changing Maneuver," Journal of Optimization Theory and Applications, Springer, vol. 97(2), pages 281-297, May.
    10. Vasiliki D. Skintzi & Spyros Xanthopoulos-Sisinis, 2007. "Evaluation of correlation forecasting models for risk management," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(7), pages 497-526.
    11. Kevin Gallagher, 2011. "Trading Away Stability and Growth: United States Trade Agreements in Latin America," Working Papers wp266, Political Economy Research Institute, University of Massachusetts at Amherst.
    12. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    13. Prudentia Zikalala & Isaya Kisekka & Mark Grismer, 2019. "Calibration and Global Sensitivity Analysis for a Salinity Model Used in Evaluating Fields Irrigated with Treated Wastewater in the Salinas Valley," Agriculture, MDPI, vol. 9(2), pages 1-33, February.
    14. H. N. E. BystrOm, 2003. "The hedging performance of electricity futures on the Nordic power exchange," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 1-11.
    15. repec:bla:reviec:v:10:y:2002:i:1:p:129-39 is not listed on IDEAS
    16. -, 1981. "1980 census: analytical commentary," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 27739, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    17. Olga Kupets, 2015. "Skill mismatch and overeducation in transition economies," IZA World of Labor, Institute of Labor Economics (IZA), pages 224-224, December.
    18. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    19. Joseph A. Alutto & James A. Belasco, 1974. "Determinants of Attitudinal Militancy among Nurses and Teachers," ILR Review, Cornell University, ILR School, vol. 27(2), pages 216-227, January.
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    Cited by:

    1. Habrov, Vladimir, 2012. "Optimization of portfolio management based on vector autoregression models and multivariate volatility models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 35-62.

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    More about this item

    Keywords

    futures; hedging; multivariate GARCH models; dynamic conditional correlations;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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