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A partially linear approach to modelling the dynamics of spot and futures prices

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  • Gaul, Jürgen
  • Theissen, Erik

Abstract

This paper considers the dynamics of spot and futures prices in the presence of arbitrage. A partially linear error correction model is proposed where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference. The model is estimated using data on the DAX index and the DAX futures contract. We find that the adjustment is indeed nonlinear. The linear alternative is rejected. The speed of price adjustment is increasing almost monotonically with the magnitude of the price difference.

Suggested Citation

  • Gaul, Jürgen & Theissen, Erik, 2012. "A partially linear approach to modelling the dynamics of spot and futures prices," CFR Working Papers 13-01, University of Cologne, Centre for Financial Research (CFR).
  • Handle: RePEc:zbw:cfrwps:1301
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    References listed on IDEAS

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    1. Taylor, Nick & Dijk, Dick van & Franses, Philip Hans & Lucas, Andre, 2000. "SETS, arbitrage activity, and stock price dynamics," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1289-1306, August.
    2. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    3. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    4. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.
    5. Richard Roll & Eduardo Schwartz & Avanidhar Subrahmanyam, 2007. "Liquidity and the Law of One Price: The Case of the Futures‐Cash Basis," Journal of Finance, American Finance Association, vol. 62(5), pages 2201-2234, October.
    6. Theissen, Erik, 2002. "Price discovery in floor and screen trading systems," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 455-474, November.
    7. Li, Q. & Wang, Suojin, 1998. "A simple consistent bootstrap test for a parametric regression function," Journal of Econometrics, Elsevier, vol. 87(1), pages 145-165, August.
    8. 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.
    9. 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.
    10. Berkman, Henk & Brailsford, Tim & Frino, Alex, 2005. "A note on execution costs for stock index futures: Information versus liquidity effects," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 565-577, March.
    11. McDonald, Robert L, 2001. "Cross-Border Investing with Tax Arbitrage: The Case of German Dividend Tax Credits," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 617-657.
    12. G. Geoffrey Booth & Ji-Chai Lin & Teppo Martikainen & Yiuman Tse, 2002. "Trading and Pricing in Upstairs and Downstairs Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1111-1135.
    13. 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.
    14. John Xu Zheng, 1996. "A consistent test of functional form via nonparametric estimation techniques," Journal of Econometrics, Elsevier, vol. 75(2), pages 263-289, December.
    15. 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.
    16. 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.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Pradeep K. Yadav & Peter F. Pope & Krishna Paudyal, 1994. "Threshold Autoregressive Modeling In Finance: The Price Differences Of Equivalent Assets1," Mathematical Finance, Wiley Blackwell, vol. 4(2), pages 205-221, April.
    19. Harris, Frederick H. deB. & McInish, Thomas H. & Wood, Robert A., 2002. "Common factor components versus information shares: a reply," Journal of Financial Markets, Elsevier, vol. 5(3), pages 341-348, July.
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    Cited by:

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    2. Chen, Yu-Lun & Tsai, Wei-Che, 2017. "Determinants of price discovery in the VIX futures market," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 59-73.
    3. Fei Ren & Mei-Ling Cai & Sai-Ping Li & Xiong Xiong & Zhang-HangJian Chen, 2023. "A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock Index-Based Spot, Futures and Options," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 1-28, June.
    4. Mike Buckle & Jing Chen & Qian Guo & Xiaoxi Li, 2019. "The impact of multilateral trading facilities on price discovery: Further evidence from the European markets," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 28(4), pages 321-343, November.
    5. Xu Guo & Tao Wang & Lixing Zhu, 2016. "Model checking for parametric single-index models: a dimension reduction model-adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1013-1035, November.
    6. Ihle, Rico & von Cramon-Taubadel, Stephan, 2016. "Semiparametric insights into price dynamics in Tanzanian maize markets," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249329, African Association of Agricultural Economists (AAAE).

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    More about this item

    Keywords

    Futures Markets; Cointegration; Partially linear models; Nonparametric methods;
    All these keywords.

    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
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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