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Can we explain the dynamics of the UK FTSE 100 stock and stock index futures markets?

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  • Chris Brooks
  • Ian Garrett

Abstract

If stock and stock index futures markets are functioning properly price movements in these markets should best be described by a first order vector error correction model with the error correction term being the price differential between the two markets (the basis). Recent evidence suggests that there are more dynamics present than should be in effectively functioning markets. Using self-exciting threshold autoregressive (SETAR) models, this study analyses whether such dynamics can be related to different regimes within which the basis can fluctuate in a predictable manner without triggering arbitrage. These findings reveal that the basis shows strong evidence of autoregressive behaviour when its value is between the two thresholds but that the extra dynamics disappear once the basis moves above the upper threshold and their persistence is reduced, although not eradicated, once the basis moves below the lower threshold. This suggests that once nonlinearity associated with transactions costs is accounted for, stock and stock index futures markets function more effectively than is suggested by linear models of the pricing relationship.

Suggested Citation

  • Chris Brooks & Ian Garrett, 2002. "Can we explain the dynamics of the UK FTSE 100 stock and stock index futures markets?," Applied Financial Economics, Taylor & Francis Journals, vol. 12(1), pages 25-31.
  • Handle: RePEc:taf:apfiec:v:12:y:2002:i:1:p:25-31
    DOI: 10.1080/09603100110087996
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    References listed on IDEAS

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    Cited by:

    1. Andreas Röthig, 2011. "On speculators and hedgers in currency futures markets: who leads whom?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 63-69, January.
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    3. Xiaobing Zheng & Kun Liang & Qiang Xia & Dabin Zhang, 2022. "Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1175-1201, March.
    4. Abderrazek Ben Hamouda, 2023. "On the Link Between FDI, Political Risk and Economic Growth in Sub-Saharan Africa: A Panel VAR Approach," Journal of Economic Impact, Science Impact Publishers, vol. 5(2), pages 171-180.
    5. Nidhi Aggarwal, 2015. "Limits to arbitrage: The case of single stock futures and spot prices," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-010, Indira Gandhi Institute of Development Research, Mumbai, India.
    6. Cathy W. S. Chen & Richard H. Gerlach & Ann M. H. Lin, 2010. "Falling and explosive, dormant, and rising markets via multiple‐regime financial time series models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(1), pages 28-49, January.
    7. Chin-Ping King, 2012. "Half Life of the Real Exchange Rate: Evidence from the Nonlinear Approach in Emerging Economies," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 8(1), pages 1-23, January.
    8. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.
    9. Riadh El abed, 2017. "Exploring the nexus between Stock prices and Macroeconomic shocks: Panel VAR approach," Economics Bulletin, AccessEcon, vol. 37(3), pages 2053-2066.
    10. Cathy Chen & Shu-Yu Chen & Sangyeol Lee, 2013. "Bayesian Unit Root Test in Double Threshold Heteroskedastic Models," Computational Economics, Springer;Society for Computational Economics, vol. 42(4), pages 471-490, December.
    11. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    12. Jiazhu Pan & Qiang Xia & Jinshan Liu, 2017. "Bayesian analysis of multiple thresholds autoregressive model," Computational Statistics, Springer, vol. 32(1), pages 219-237, March.
    13. David G. McMillan, 2009. "Non-linear interest rate dynamics and forecasting: evidence for US and Australian interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 139-155.
    14. Partha Sarathi Roy & Tanupa Chakraborty, 2023. "Efficiency of Indian Equity Futures Market—An Empirical Analysis with reference to National Stock Exchange," Global Business Review, International Management Institute, vol. 24(6), pages 1326-1352, December.
    15. Andric, Vladimir & Arsic, Milojko & Mladenovic, Zorica, 2016. "The Dynamics of Public Debt in Serbia - A Nonlinear Analysis," EconStor Preprints 144713, ZBW - Leibniz Information Centre for Economics.
    16. McMillan, David G., 2009. "Forward interest rate premium and asymmetric adjustment: Evidence from 16 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 258-273, April.
    17. 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.

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