IDEAS home Printed from https://ideas.repec.org/p/uts/wpaper/8.html
   My bibliography  Save this paper

Exploiting Volatility Movements in the Sydney Futures Exchange's Bank Bill Contract

Author

Listed:

Abstract

An appropriate stochastic model was fitted to one year data on the implied volatility of options on 90 day bank accepted bill futures contracts traded in the Sydney Futures Exchange. The model used was ARIMA augmnented with day of the week variables, an option time to maturity variable, and recent values of historic volatility. The high ex-post predicitive accuract of the model was then employed as the central elemnet of a strategy of buy low / sell high volatility. We employed two trading schemes with suitability constructed Delta neutral portfolios comprising bill futures and call and put options on those futures over a period of 6 months, to test whether speculative trading profit could be earned. The existence of trading profits before transaction costs validated the potential of the buy low /sell high volatility strategies to generate speculative profits. The absence of any such trading profits after transaction costs however, showed that the market pricing of these securities is such that the dependencies within implied volatility can not be profitably exploited. This result may be interpreted as evidence supporting an hypothesis of semi-strong form market efficiency.

Suggested Citation

  • Ben Hunt & Ram Bhar, 1991. "Exploiting Volatility Movements in the Sydney Futures Exchange's Bank Bill Contract," Working Paper Series 8, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  • Handle: RePEc:uts:wpaper:8
    as

    Download full text from publisher

    File URL: http://www.finance.uts.edu.au/research/wpapers/wp8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bessembinder, Hendrik & Seguin, Paul J, 1992. "Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-2034, December.
    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. Ya-Wen Lai, 2023. "Impact of futures’ trader types on stock market quality: evidence from Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 417-436, June.
    2. C. P. Gupta & Sanjay Sehgal & Sahaj Wadhwa, 2018. "Agricultural Commodity Trading: Is it Destabilizing Spot Markets?," Vikalpa: The Journal for Decision Makers, , vol. 43(1), pages 47-57, March.
    3. Yuan, Xianghui & Li, Xiang, 2022. "Delta-hedging demand and intraday momentum: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    4. Hua, Renhai & Liu, Qingfu & Tse, Yiuman, 2016. "Extended trading in Chinese index markets: Informed or uninformed?," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 112-122.
    5. Liang, Chao & Tang, Linchun & Li, Yan & Wei, Yu, 2020. "Which sentiment index is more informative to forecast stock market volatility? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 71(C).
    6. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. Jian Yang & R. Brian Balyeat & David J. Leatham, 2005. "Futures Trading Activity and Commodity Cash Price Volatility," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(1‐2), pages 297-323, January.
    8. Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
    9. Fleming, Jeff & Ostdiek, Barbara, 1999. "The impact of energy derivatives on the crude oil market," Energy Economics, Elsevier, vol. 21(2), pages 135-167, April.
    10. Bernales, Alejandro & Verousis, Thanos & Voukelatos, Nikolaos, 2020. "Do investors follow the herd in option markets?," Journal of Banking & Finance, Elsevier, vol. 119(C).
    11. Gannon, Gerard, 2005. "Simultaneous volatility transmissions and spillover effects: U.S. and Hong Kong stock and futures markets," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 326-336.
    12. Sui, Cong & Lung, Peter & Yang, Mo, 2021. "Index option trading and equity volatility: Evidence from the SSE 50 and CSI 500 stocks," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 60-75.
    13. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    14. Timothy Krause & Sina Ehsani & Donald Lien, 2014. "Exchange-traded funds, liquidity and volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 24(24), pages 1617-1630, December.
    15. Kiril Alampieski & Andrew Lepone, 2009. "Impact of a tick size reduction on liquidity: evidence from the Sydney Futures Exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(1), pages 1-20, March.
    16. Augustin, Patrick & Rubtsov, Alexey & Shin, Donghwa, 2022. "The impact of derivatives on spot markets: Evidence from the introduction of bitcoin futures contracts," LawFin Working Paper Series 41, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    17. Fiammetta Menchetti & Fabrizio Cipollini & Fabrizia Mealli, 2021. "Causal effect of regulated Bitcoin futures on volatility and volume," Papers 2109.15052, arXiv.org.
    18. Liu, Jinan & Valcarcel, Victor J., 2024. "Hedging inflation expectations in the cryptocurrency futures market," Journal of Financial Stability, Elsevier, vol. 70(C).
    19. Mei-Ling Cai & Zhang-HangJian Chen & Sai-Ping Li & Xiong Xiong & Wei Zhang & Ming-Yuan Yang & Fei Ren, 2022. "New volatility evolution model after extreme events," Papers 2201.03213, arXiv.org.
    20. Chin-Lin Chuang & Dar-Hsin Chen & Chung-Hsien Su, 2008. "Reexamining The Expiration Day Effects Of Stock Index Derivatives: Evidence From Taiwan," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 2(2), pages 85-105.

    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:uts:wpaper:8. 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: Duncan Ford (email available below). General contact details of provider: https://edirc.repec.org/data/sfutsau.html .

    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.