IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v24y2004i6p591-608.html
   My bibliography  Save this article

Do futures‐based strategies enhance dynamic portfolio insurance?

Author

Listed:
  • Binh Huu Do
  • Robert W. Faff

Abstract

In this paper we investigate the relative performance of two approaches to dynamic portfolio insurance: the synthetic put and the Constant Proportion Portfolio Insurance (CPPI). The investigation is conducted on the Australian market, over a sample period of 59 non‐overlapping quarters from December 1987 to December 2002. Its main contribution is to provide a comprehensive assessment of the two approaches under different market conditions, and the testing of ex ante information as an input into the trading program. The major finding is that the futures‐based implementation of both synthetic put and the CPPI approach is robust to both tranquil and turbulent market conditions in preserving the desired floor. The fact that this conclusion includes the case of employing implied volatility (obtained from the options market) is highly encouraging as it suggests high implementability of the strategy. Notably, the risk‐return tradeoff shows that portfolio insurance using this volatility measure yields a return that is 64 basis points over the risk free investment. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:591–608, 2004

Suggested Citation

  • Binh Huu Do & Robert W. Faff, 2004. "Do futures‐based strategies enhance dynamic portfolio insurance?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(6), pages 591-608, June.
  • Handle: RePEc:wly:jfutmk:v:24:y:2004:i:6:p:591-608
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leland, Hayne E, 1985. "Option Pricing and Replication with Transactions Costs," Journal of Finance, American Finance Association, vol. 40(5), pages 1283-1301, December.
    2. Simon Loria & Toan Pham & Ah Boon Sim, 1991. "The Performance of a Stock Index Futures Based Portfolio Insurance Scheme: Australian Evidence," Working Paper Series 5, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    4. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    5. Garry J. Twite, 1998. "The Pricing of Australian Index Futures Contracts with Taxes and Transaction Costs," Australian Journal of Management, Australian School of Business, vol. 23(1), pages 57-81, June.
    6. Richard Bookstaber & Joseph A. Langsam, 2000. "Portfolio insurance trading rules," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(1), pages 41-57, January.
    7. Bird, Ron & Cunningham, Ross & Dennis, David & Tippett, Mark, 1990. "Portfolio insurance: a simulation under different market conditions," Insurance: Mathematics and Economics, Elsevier, vol. 9(1), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Tao & Zhou, Hongfeng & Li, Larry & Gu, Feng, 2015. "Optimal rebalance rules for the constant proportion portfolio insurance strategy – Evidence from China," Economic Systems, Elsevier, vol. 39(3), pages 413-422.
    2. Lan-chih Ho & John Cadle & Michael Theobald, 2022. "Portfolio Insurance Strategies," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 62, pages 1437-1465, Springer.
    3. Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Huai-I. Lee & Min-Hsien Chiang & Hsinan Hsu, 2008. "A new choice of dynamic asset management: the variable proportion portfolio insurance," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2135-2146.
    5. Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2017. "A bootstrap-based comparison of portfolio insurance strategies," The European Journal of Finance, Taylor & Francis Journals, vol. 23(1), pages 31-59, January.
    6. Hammadi Zouari, 2022. "On the Effectiveness of Stock Index Futures for Tail Risk Protection," International Journal of Economics and Financial Issues, Econjournals, vol. 12(3), pages 38-52, May.

    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. Binh Huu Do, 2002. "Relative performance of dynamic portfolio insurance strategies: Australian evidence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 42(3), pages 279-296, November.
    2. Wang, Jun & Liang, Jin-Rong & Lv, Long-Jin & Qiu, Wei-Yuan & Ren, Fu-Yao, 2012. "Continuous time Black–Scholes equation with transaction costs in subdiffusive fractional Brownian motion regime," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 750-759.
    3. Mastinšek Miklavž, 2015. "Reduction of the Mean Hedging Transaction Costs / Redukcija povprečnih transakcijskih stroškov hedging tehnike," Naše gospodarstvo/Our economy, Sciendo, vol. 61(5), pages 23-31, October.
    4. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    5. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    6. Lo, Andrew W & Wang, Jiang, 1995. "Implementing Option Pricing Models When Asset Returns Are Predictable," Journal of Finance, American Finance Association, vol. 50(1), pages 87-129, March.
    7. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    8. Bas Peeters & Cees L. Dert & André Lucas, 2003. "Black Scholes for Portfolios of Options in Discrete Time: the Price is Right, the Hedge is wrong," Tinbergen Institute Discussion Papers 03-090/2, Tinbergen Institute.
    9. Reiß, Ariane, 1997. "Option replication with large transactions costs," Tübinger Diskussionsbeiträge 106, University of Tübingen, School of Business and Economics.
    10. Hu, Yuan & Lindquist, W. Brent & Rachev, Svetlozar T. & Shirvani, Abootaleb & Fabozzi, Frank J., 2022. "Market complete option valuation using a Jarrow-Rudd pricing tree with skewness and kurtosis," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    11. Suresh M. Sundaresan, 2000. "Continuous‐Time Methods in Finance: A Review and an Assessment," Journal of Finance, American Finance Association, vol. 55(4), pages 1569-1622, August.
    12. Chamorro, Jose M. & Perez de Villarreal, Jose M., 2000. "Mutual fund evaluation: a portfolio insurance approach: A heuristic application in Spain," Insurance: Mathematics and Economics, Elsevier, vol. 27(1), pages 83-104, August.
    13. Duffie, Darrell, 2003. "Intertemporal asset pricing theory," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 11, pages 639-742, Elsevier.
    14. Ben Hambly & Renyuan Xu & Huining Yang, 2021. "Recent Advances in Reinforcement Learning in Finance," Papers 2112.04553, arXiv.org, revised Feb 2023.
    15. Jos'e Manuel Corcuera, 2021. "The Golden Age of the Mathematical Finance," Papers 2102.06693, arXiv.org, revised Mar 2021.
    16. Wang, Xiao-Tian & Yan, Hai-Gang & Tang, Ming-Ming & Zhu, En-Hui, 2010. "Scaling and long-range dependence in option pricing III: A fractional version of the Merton model with transaction costs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 452-458.
    17. John H. Cochrane & Jesus Saa-Requejo, 2000. "Beyond Arbitrage: Good-Deal Asset Price Bounds in Incomplete Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 79-119, February.
    18. Lv, Longjin & Xiao, Jianbin & Fan, Liangzhong & Ren, Fuyao, 2016. "Correlated continuous time random walk and option pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 100-107.
    19. Perrakis, Stylianos & Lefoll, Jean, 2000. "Option pricing and replication with transaction costs and dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 24(11-12), pages 1527-1561, October.
    20. Chuang-Chang Chang & Jun-Biao Lin, 2010. "The valuation of multivariate contingent claims under transformed trinomial approaches," Review of Quantitative Finance and Accounting, Springer, vol. 34(1), pages 23-36, January.

    More about this item

    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:wly:jfutmk:v:24:y:2004:i:6:p:591-608. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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.