IDEAS home Printed from https://ideas.repec.org/p/uts/wpaper/122.html
   My bibliography  Save this paper

The Role of Intra-Day and Inter-Day Data Effects in Determining Linear and Nonlinear Granger Causality Between Australian Futures and Cash Index Markets

Author

Listed:
  • R. M. Eldridge
  • Maurice Peat

    (Discipline of Finance, University of Sydney)

  • Max Stevenson

    (Discipline of Finance, University of Sydney)

Abstract

In order to explain the incidence of Granger causality between indices from the futures and the underlying cash market, as reported by numerous empirical studies in the literature, it is important to account for mean and volatility (second-order) persistence effects in the data. Further, there is need to control for inter-day and intra-day effects by imposing an appropriate autocorrelation structure upon each of the index returns from both markets. Once all these effects are controlled for, then linear Granger causality ceases to be statistically significant and the associated lead-lag phenomenon is no longer observable when the information flow between the spot and futures markets is completed within a five-minute observation interval. Additionally, nonlinear Granger causality testing indicates no compelling need to account for nonlinear effects (beyond the second-order moment condition) in order to explain causality. This result supports the price discovery role of futures markets.

Suggested Citation

  • R. M. Eldridge & Maurice Peat & Max Stevenson, 2003. "The Role of Intra-Day and Inter-Day Data Effects in Determining Linear and Nonlinear Granger Causality Between Australian Futures and Cash Index Markets," Working Paper Series 122, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    • Handle: RePEc:uts:wpaper:122
    as

    Download full text from publisher

    File URL: http://www.finance.uts.edu.au/research/wpapers/wp122.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-337, July.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.
    4. Baeck, E.G. & Brock, W.A., 1992. "A Nonparametric Test for Independence of a Multivariate Time Series," Working papers 9204, Wisconsin Madison - Social Systems.
    5. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    6. McInish, Thomas H & Wood, Robert A, 1984. "Intertemporal Differences in Movements of Minute-to-Minute Stock Returns," The Financial Review, Eastern Finance Association, vol. 19(4), pages 359-371, November.
    7. Dwyer, Gerald P, Jr & Locke, Peter R & Yu, Wei, 1996. "Index Arbitrage and Nonlinear Dynamics between the S&P 500 Futures and Cash," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 301-332.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Brock, W.A. & Dechert, W.D. & LeBaron, B. & Scheinkman, J.A., 1995. "A Test for Independence Based on the Correlation Dimension," Working papers 9520, Wisconsin Madison - Social Systems.
    10. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    11. Stoll, Hans R. & Whaley, Robert E., 1990. "The Dynamics of Stock Index and Stock Index Futures Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 441-468, December.
    12. Kawaller, Ira G & Koch, Paul D & Koch, Timothy W, 1987. "The Temporal Price Relationship between S&P 500 Futures and the S and P 500 Index," Journal of Finance, American Finance Association, vol. 42(5), pages 1309-1329, December.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Grunbichler Andreas & Longstaff Francis A. & Schwartz Eduardo S., 1994. "Electronic Screen Trading and the Transmission of Information: An Empirical Examination," Journal of Financial Intermediation, Elsevier, vol. 3(2), pages 166-187, March.
    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. Dimitris Kenourgios, 2005. "Price Discovery In The Athens Derivatives Exchange: Evidence For The Ftse/Ase-20 Futures Market," Finance 0512014, University Library of Munich, Germany.
    2. Jürgen Gaul & Erik Theissen, 2015. "A Partially Linear Approach to Modeling the Dynamics of Spot and Futures Prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 371-384, April.
    3. Chris Brooks & Ian Garrett & Melvin Hinich, 1999. "An alternative approach to investigating lead-lag relationships between stock and stock index futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(6), pages 605-613.
    4. Qiao, Zhuo & Chu, Patrick Kuok-Kun, 2014. "Does fine wine price contain useful information to forecast GDP? Evidence from major developed countries," Economic Modelling, Elsevier, vol. 38(C), pages 75-79.
    5. Kempf, Alexander & Korn, Olaf, 1995. "Der Einfluß von Arbitrageuren auf die Preisführerschaft von Finanzmärkten," ZEW Discussion Papers 95-02, ZEW - Leibniz Centre for European Economic Research.
    6. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    7. Tsangyao Chang & Wen-Chi Liu, 2008. "Rational Bubbles in the Korea Stock Market? Further Evidence based on Nonlinear and Nonparametric Cointegration Tests," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-12.
    8. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 269-280.
    9. Shashi Gupta & Himanshu Choudhary & D. R. Agarwal, 2018. "An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market," Global Business Review, International Management Institute, vol. 19(3), pages 771-789, June.
    10. Minho Kim & Andrew C. Szakmary & Thomas V. Schwarz, 1999. "Trading costs and price discovery across stock index futures and cash markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(4), pages 475-498, June.
    11. Zhong, Ming & Chang,Tsangyao & Tzeng, Han-Wen, 2014. "International Equity Diversification Between the United States and Brics Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 123-138, March.
    12. Kapil Choudhary & Sushil Bajaj, 2013. "Price Discovery Process in Nifty Spot and Futures Markets," Global Business Review, International Management Institute, vol. 14(1), pages 55-88, February.
    13. Judge, Amrit & Reancharoen, Tipprapa, 2014. "An empirical examination of the lead–lag relationship between spot and futures markets: Evidence from Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 335-358.
    14. McMillan, David G. & Philip, Dennis, 2012. "Short-sale constraints and efficiency of the spot–futures dynamics," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 129-136.
    15. Yang Hou & Steven Li, 2013. "Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(1), pages 49-70, March.
    16. Hock-Ann Lee & Kian-Ping Lim & Venus Khim-Sen Liew, 2009. "Is There Any International Diversification Benefits in ASEAN Stock Markets?," Economics Bulletin, AccessEcon, vol. 29(1), pages 392-406.
    17. Kim Hiang Liow, 2008. "Financial Crisis and Asian Real Estate Securities Market Interdependence: Some Additional Evidence," Journal of Property Research, Taylor & Francis Journals, vol. 25(2), pages 127-155, November.
    18. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
    19. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    20. Tse, Yiuman, 2001. "Index arbitrage with heterogeneous investors: A smooth transition error correction analysis," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1829-1855, October.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:122. 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.