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Hedge ratio estimation: A note on the Bitcoin future contract

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  • Alexandros Koulis
  • Constantinos Kyriakopoulos

Abstract

This paper investigates the hedging effectiveness of Bitcoin (BTC) future contract using daily settlement prices for the period of 1 January 2018 until 26 March 2021. Standard OLS regressions, Error Correction Model (ECM), as well as GARCH and EGARCH models are used to estimate the optimal hedge ratio which is necessary for trading and risk management. The findings indicate that the time varying hedge ratios, if estimated through the Error Correction Model (ECM), are more efficient than the fixed hedge ratios in terms of risk minimization.

Suggested Citation

  • Alexandros Koulis & Constantinos Kyriakopoulos, 2021. "Hedge ratio estimation: A note on the Bitcoin future contract," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 125-131.
    • Handle: RePEc:rmk:rmkbae:v:8:y:2021:i:2:p:125-131
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    References listed on IDEAS

    as
    1. A. F. Herbst & D. D. Kare & S. C. Caples, 1989. "Hedging effectiveness and minimum risk hedge ratios in the presence of autocorrelation: Foreign currency futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(3), pages 185-197, June.
    2. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Cheng-Few Lee & Kehluh Wang & Yan Long Chen, 2009. "Hedging and Optimal Hedge Ratios for International Index Futures Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 593-610.
    5. Jun Deng & Huifeng Pan & Shuyu Zhang & Bin Zou, 2020. "Minimum-variance hedging of Bitcoin inverse futures," Applied Economics, Taylor & Francis Journals, vol. 52(58), pages 6320-6337, December.
    6. Hun Y. Park & Anil K. Bera, 1987. "Interest‐Rate Volatility, Basis Risk and Heteroscedasticity in Hedging Mortgages," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 15(2), pages 79-97, June.
    7. Darren Butterworth & Phil Holmes, 2001. "The hedging effectiveness of stock index futures: evidence for the FTSE-100 and FTSE-mid250 indexes traded in the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 11(1), pages 57-68.
    8. Beneki, Christina & Koulis, Alexandros & Kyriazis, Nikolaos A. & Papadamou, Stephanos, 2019. "Investigating volatility transmission and hedging properties between Bitcoin and Ethereum," Research in International Business and Finance, Elsevier, vol. 48(C), pages 219-227.
    9. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    10. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    11. Zhou, Jian, 2016. "Hedging performance of REIT index futures: A comparison of alternative hedge ratio estimation methods," Economic Modelling, Elsevier, vol. 52(PB), pages 690-698.
    12. Pal, Debdatta & Mitra, Subrata K., 2019. "Hedging bitcoin with other financial assets," Finance Research Letters, Elsevier, vol. 30(C), pages 30-36.
    13. Sebastião, Helder & Godinho, Pedro, 2020. "Bitcoin futures: An effective tool for hedging cryptocurrencies," Finance Research Letters, Elsevier, vol. 33(C).
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    More about this item

    Keywords

    Optimal hedge ratio; hedging models; bitcoin; futures market;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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