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Valuing Volatility Spillovers

Author

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  • George Milunovich

    (Macquarie University)

  • Susan Thorp

    (UTS)

Abstract

We measure the reduction in realized portfolio risk that can be achieved by allowing for volatility spillover in forecasts of equity covariance. The conditional second moment matrix of equity returns for pairs of major European equity markets is estimated via two asymmetric dynamic conditional correlation models (A-DCC): the unrestricted model includes volatility spillover e¤ects and the restricted model does not. Data are daily returns on the London, Frankfurt and Paris equity market price indices synchronized at London 16:00 time. Covariance forecasts from the restricted and unrestricted models are combined with assumed expected returns to compute e¢ cient three-asset portfolios (two equity indices and the risk-free asset). The impact of expected return choice on out-of-sample portfolio e¢ ciency is minimized via the polar co-ordinates method of Engel and Colacito (2004), which allows expected equity returns to span all relatives. Out-of-sample realized portfolio returns and variances from e¢ cient portfolios are computed and tested. Allowing for volatility spillover e¤ects produces small, statistically signi.cant reductions in portfolio risk. Portfolio standard deviations for the unrestricted model are at most one per cent smaller than standard deviations for restricted models. Significant risk reductions persist across daily, weekly, and monthly rebalancing horizons. Tests for second degree stochastic dominance indicate that realized returns from portfolios based on the volatility spillover model would be preferred by risk averse agents.
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(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
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(This abstract was borrowed from another version of this item.)

Suggested Citation

  • George Milunovich & Susan Thorp, 2005. "Valuing Volatility Spillovers," International Finance 0506008, EconWPA.
  • Handle: RePEc:wpa:wuwpif:0506008
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    References listed on IDEAS

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    Cited by:

    1. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CARF F-Series CARF-F-163, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Chan, Leo & Lien, Donald & Weng, Wenlong, 2008. "Financial interdependence between Hong Kong and the US: A band spectrum approach," International Review of Economics & Finance, Elsevier, vol. 17(4), pages 507-516, October.
    4. Ekin Tokat & Hakkı Arda Tokat, 2010. "Shock and Volatility Transmission in the Futures and Spot Markets: Evidence from Turkish Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 92-104, January.
    5. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2010. "Analyzing and forecasting volatility spillovers, asymmetries and hedging in major oil markets," Energy Economics, Elsevier, vol. 32(6), pages 1445-1455, November.
    6. Chia-Lin Chang & Michael McAleer & Yanghuiting Wang, 2016. "Testing co-volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances," Documentos de Trabajo del ICAE 2016-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Susan Thorp & George Milunovich, 2005. "Asymmetric Risk and International Portfolio Choice," Research Paper Series 160, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. Yen-Hsien Lee & Hao Fang & Wei-Fan SU, 2014. "Effectiveness of Portfolio Diversification and the Dynamic Relationship between Stock and Currency Markets in the Emerging Eastern European and Russian Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 296-311, September.
    9. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CIRJE F-Series CIRJE-F-639, CIRJE, Faculty of Economics, University of Tokyo.
    10. Yen-Hsien Lee & Ya-Ling Huang & Chun-Yu Wu, 2014. "Dynamic Correlations and Volatility Spillovers between Crude Oil and Stock Index Returns: The Implications for Optimal Portfolio Construction," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 327-336.
    11. Andrikopoulos, Andreas & Angelidis, Timotheos & Skintzi, Vasiliki, 2014. "Illiquidity, return and risk in G7 stock markets: Interdependencies and spillovers," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 118-127.
    12. Ozer-Imer, Itir & Ozkan, Ibrahim, 2014. "An empirical analysis of currency volatilities during the recent global financial crisis," Economic Modelling, Elsevier, vol. 43(C), pages 394-406.
    13. Walid Matar & Saud M. Al-Fattah & Tarek Atallah & Axel Pierru, 2013. "An introduction to oil market volatility analysis," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 37(3), pages 247-269, September.

    More about this item

    Keywords

    forecasting; adcc; volatility spillovers; valuing;

    JEL classification:

    • F3 - International Economics - - International Finance
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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