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The Hedge Ratio and the Empirical Relationship between the Stock and Futures Markets: A New Approach Using Wavelet Analysis

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Author Info

  • Francis In

    (Monash University)

  • Sangbae Kim

    (Kyungpook National University)

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    Abstract

    This paper examines the relationship between the stock and futures markets in terms of lead-lag relationship, correlation, and the hedge ratio using wavelet analysis. Empirical results show that (1) there is a feedback relationship between the stock and futures markets regardless of time scales, (2) wavelet correlation between two markets varies over investment horizons but remains very high, and (3) hedge ratio and the effectiveness of hedging strategies increase as the wavelet time scale increases. Simulation for utility comparisons shows that hedging effectiveness depends not only on the time scale but also on the risk aversion coefficient of an individual investor.

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    Bibliographic Info

    Article provided by University of Chicago Press in its journal Journal of Business.

    Volume (Year): 79 (2006)
    Issue (Month): 2 (March)
    Pages: 799-820

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    Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:2:p:799-820

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    Web page: http://www.journals.uchicago.edu/JB/

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    Cited by:
    1. Fernandez, Viviana, 2009. "The behavior of stock returns in the mining industry following the Iraq war," Research in International Business and Finance, Elsevier, vol. 23(3), pages 274-292, September.
    2. Kim, Sangbae & In, Francis, 2007. "On the relationship between changes in stock prices and bond yields in the G7 countries: Wavelet analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 167-179, April.
    3. In, Francis & Kim, Sangbae & Gençay, Ramazan, 2011. "Investment horizon effect on asset allocation between value and growth strategies," Economic Modelling, Elsevier, vol. 28(4), pages 1489-1497, July.
    4. Power, Gabriel J. & Turvey, Calum G., 2010. "Long-range dependence in the volatility of commodity futures prices: Wavelet-based evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 79-90.
    5. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2013. "The influence of the international oil prices on the real effective exchange rate in Romania in a wavelet transform framework," Energy Economics, Elsevier, vol. 40(C), pages 714-733.
    6. António Rua & Luís Catela Nunes, 2012. "A wavelet-based assessment of market risk: The emerging markets case," Working Papers w201203, Banco de Portugal, Economics and Research Department.
    7. Silvo Dajčman, 2013. "Interdependence Between Some Major European Stock Markets - A Wavelet Lead/Lag Analysis," Prague Economic Papers, University of Economics, Prague, vol. 2013(1), pages 28-49.
    8. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 3(1), pages 26-62, December.
    9. Antonakakis, Nikolaos & Kizys, Renatas & Floros, Christos, 2014. "Dynamic Spillover Effects in Futures Markets," MPRA Paper 53876, University Library of Munich, Germany.
    10. Fernandez, Viviana, 2008. "The war on terror and its impact on the long-term volatility of financial markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 1-26.
    11. Thomas Conlon & John Cotter & Ramazan Gencay, 2012. "Commodity futures hedging, risk aversion and the hedging horizon," Working Papers 201218, Geary Institute, University College Dublin.
    12. Haven, Emmanuel & Liu, Xiaoquan & Shen, Liya, 2012. "De-noising option prices with the wavelet method," European Journal of Operational Research, Elsevier, vol. 222(1), pages 104-112.
    13. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    14. Thomas Conlon & John Cotter, 2012. "Downside risk and the energy hedger's horizon," Working Papers 201219, Geary Institute, University College Dublin.
    15. In, Francis & Kim, Sangbae, 2007. "A note on the relationship between Fama-French risk factors and innovations of ICAPM state variables," Finance Research Letters, Elsevier, vol. 4(3), pages 165-171, September.
    16. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    17. Fernandez, Viviana, 2006. "The CAPM and value at risk at different time-scales," International Review of Financial Analysis, Elsevier, vol. 15(3), pages 203-219.
    18. Silvo Dajcman, 2012. "The Dynamics of Return Comovement and Spillovers Between the Czech and European Stock Markets in the Period 1997–2010," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(4), pages 368-390, August.
    19. Kim, Sangbae & In, Francis, 2006. "A note on the relationship between industry returns and inflation through a multiscaling approach," Finance Research Letters, Elsevier, vol. 3(1), pages 73-78, March.
    20. Gianluca Stefani & Marco Tiberti, 2013. "Textbook Estimators of Multiperiod Optimal Hedging Ratios: Methodological Aspects and Application to the European Wheat Market," Working Papers - Economics wp2013_29.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    21. Yi-Tsung Lee & Wei-Shao Wu & Yun Yang, 2013. "Informed Futures Trading and Price Discovery: Evidence from Taiwan Futures and Stock Markets," Asia-Pacific Financial Markets, Springer, vol. 20(3), pages 219-242, September.
    22. Uddin, Gazi Salah & Tiwari, Aviral Kumar & Arouri, Mohamed & Teulon, Frédéric, 2013. "On the relationship between oil price and exchange rates: A wavelet analysis," Economic Modelling, Elsevier, vol. 35(C), pages 502-507.

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