IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v58y2022i4d10.1007_s11156-022-01037-z.html
   My bibliography  Save this article

Spot asset carry cost rates and futures hedge ratios

Author

Listed:
  • Dean Leistikow

    (Fordham University)

  • Ren-Raw Chen

    (Fordham University)

  • Yuewu Xu

    (Fordham University)

Abstract

Since the 1970s, futures hedge ratios have traditionally been calculated ex-post via economically structure-less statistical analyses. This paper proposes an ex-ante, more efficient, computationally simpler, general “carry cost rate” hedge ratio. The proposed hedge ratio is biased, but its bias is readily mitigatable via a stationary Bias Adjustment Multiplier (BAM). The 2-part intuition for the BAM and its stationarity is as follows. First, the paper reasons that the “traditional” hedge ratio should uncover the carry cost rate and shows that it does, albeit inefficiently. Then, since both the “traditional” and “carry cost rate” hedge ratios are driven by the carry cost rate, it may be that their ratio (for implementation in the same prior periods) is stationary and useful as an ex-ante BAM for the “carry cost rate” hedge ratio; the paper tests these conjectures and finds support for both. Specifically, the paper shows that the “bias-adjusted carry cost rate” hedge ratio, defined as the average product of the ex-post BAMs from prior periods and the current ex-ante “carry cost rate” hedge ratio, has higher hedge-effectiveness than that for either the “traditional” or “naive” benchmark hedge ratios in diverse real and simulated markets.

Suggested Citation

  • Dean Leistikow & Ren-Raw Chen & Yuewu Xu, 2022. "Spot asset carry cost rates and futures hedge ratios," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1741-1779, May.
  • Handle: RePEc:kap:rqfnac:v:58:y:2022:i:4:d:10.1007_s11156-022-01037-z
    DOI: 10.1007/s11156-022-01037-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11156-022-01037-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11156-022-01037-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ghosh, Asim & Clayton, Ronnie, 1996. "Hedging with International Stock Index Futures: An Intertemporal Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(4), pages 477-491, Winter.
    2. Lien, Donald, 2009. "A note on the hedging effectiveness of GARCH models," International Review of Economics & Finance, Elsevier, vol. 18(1), pages 110-112, January.
    3. Alizadeh, Amir H. & Nomikos, Nikos K. & Pouliasis, Panos K., 2008. "A Markov regime switching approach for hedging energy commodities," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1970-1983, September.
    4. Sercu, Piet & Wu, Xueping, 2000. "Cross- and delta-hedges: Regression- versus price-based hedge ratios," Journal of Banking & Finance, Elsevier, vol. 24(5), pages 735-757, May.
    5. Asim Ghosh & Ronnie Clayton, 1996. "Hedging With International Stock Index Futures: An Intertemporal Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(4), pages 477-491, December.
    6. Lucio Sarno & Giorgio Valente, 2000. "The cost of carry model and regime shifts in stock index futures markets: An empirical investigation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(7), pages 603-624, August.
    7. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    8. Gordon M. Bodnar & Gregory S. Hayt & Richard C. Marston, 1998. "1998 Wharton Survey of Financial Risk Management by US Non-Financial Firms," Financial Management, Financial Management Association, vol. 27(4), Winter.
    9. 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.
    10. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    11. David Shaffer & Andrea DeMaskey, 2005. "Currency Hedging Using the Mean-Gini Framework," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 125-137, September.
    12. 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.
    13. Bartram, Söhnke M. & Brown, Gregory W. & Conrad, Jennifer, 2011. "The Effects of Derivatives on Firm Risk and Value," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(4), pages 967-999, August.
    14. Dean Leistikow & Ren-Raw Chen, 2019. "Carry Cost Rate Regimes and Futures Hedge Ratio Variation," JRFM, MDPI, vol. 12(2), pages 1-17, May.
    15. Robert Ferguson & Dean Leistikow, 1999. "Futures Hedge Profit Measurement, Error-Correction Model vs Regression Approach Hedge Ratios and Data Error Effects," Financial Management, Financial Management Association, vol. 28(4), Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dean Leistikow & Ren-Raw Chen, 2019. "Carry Cost Rate Regimes and Futures Hedge Ratio Variation," JRFM, MDPI, vol. 12(2), pages 1-17, May.
    2. Theodoros Syriopoulos & Efthymios Roumpis & Michael Tsatsaronis, 2023. "Hedging Strategies in Carbon Emission Price Dynamics: Implications for Shipping Markets," Energies, MDPI, vol. 16(17), pages 1-27, September.
    3. Park, Jin Suk & Shi, Yukun, 2017. "Hedging and speculative pressures and the transition of the spot-futures relationship in energy and metal markets," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 176-191.
    4. Stavros Degiannakis & Christos Floros & Enrique Salvador & Dimitrios Vougas, 2022. "On the stationarity of futures hedge ratios," Operational Research, Springer, vol. 22(3), pages 2281-2303, July.
    5. Stavros Degiannakis & Christos Floros, 2010. "Hedge Ratios in South African Stock Index Futures," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(3), pages 285-304, December.
    6. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    7. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2014. "Estimation and performance evaluation of optimal hedge ratios in the carbon market of the European Union Emissions Trading Scheme," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 73-91, February.
    8. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    9. Aragó, Vicent & Salvador, Enrique, 2011. "Sudden changes in variance and time varying hedge ratios," European Journal of Operational Research, Elsevier, vol. 215(2), pages 393-403, December.
    10. Lai, Yu-Sheng, 2023. "Economic evaluation of dynamic hedging strategies using high-frequency data," Finance Research Letters, Elsevier, vol. 57(C).
    11. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    12. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    13. Čech, František & Zítek, Michal, 2022. "Marine fuel hedging under the sulfur cap regulations," Energy Economics, Elsevier, vol. 113(C).
    14. Chen, Ren-Raw & Leistikow, Dean & Wang, Andrew, 2020. "Futures minimum variance hedge ratio determination: An ex-ante analysis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    15. Zhipeng, Yan & Shenghong, Li, 2018. "Hedge ratio on Markov regime-switching diagonal Bekk–Garch model," Finance Research Letters, Elsevier, vol. 24(C), pages 49-55.
    16. Su, EnDer, 2013. "Stock index hedge using trend and volatility regime switch model considering hedging cost," MPRA Paper 49190, University Library of Munich, Germany.
    17. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
    18. Choudhry, Taufiq, 2009. "Short-run deviations and time-varying hedge ratios: Evidence from agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 58-65, March.
    19. Bessler, Wolfgang & Leonhardt, Alexander & Wolff, Dominik, 2016. "Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 239-256.
    20. Qianjie Geng & Yudong Wang, 2021. "Futures Hedging in CSI 300 Markets: A Comparison Between Minimum-Variance and Maximum-Utility Frameworks," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 719-742, February.

    More about this item

    Keywords

    Carry cost rate; Ex-ante futures hedge ratio; Ex-post hedge ratio;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:rqfnac:v:58:y:2022:i:4:d:10.1007_s11156-022-01037-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.