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Informational efficiency and spurious spillover effects between spot and derivatives markets

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  • Sogiakas, Vasilios
  • Karathanassis, George

Abstract

Derivatives markets produce the means for price discovery as leading indicators in the transmission of new information. Examining volatility spillovers between spot and derivatives markets without accounting for possible disequilibria in the long term relationship could potentially result in spurious spillover effects. Our paper aims to contribute in this literature by controlling for possible disturbances in the long-run equilibrium relationship between the two markets. By application of a regime shift approach we provide evidence of a time varying spillover effect from derivatives to spot markets. However, this effect is inconclusive in the absence of a significant (1 −1) cointegration relationship.

Suggested Citation

  • Sogiakas, Vasilios & Karathanassis, George, 2015. "Informational efficiency and spurious spillover effects between spot and derivatives markets," Global Finance Journal, Elsevier, vol. 27(C), pages 46-72.
    • Handle: RePEc:eee:glofin:v:27:y:2015:i:c:p:46-72
    DOI: 10.1016/j.gfj.2015.04.004
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    1. Ah‐Boon Sim & Ralf Zurbreugg, 1999. "Intertemporal volatility and price interactions between Australian and Japanese spot and futures stock index markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(5), pages 523-540, August.
    2. Yiuman Tse, 1998. "International linkages in Euromark futures markets: Information transmission and market integration," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 129-149, April.
    3. Manolis G. Kavussanos & Ilias D. Visvikis & Panayotis D. Alexakis, 2008. "The Lead‐Lag Relationship Between Cash and Stock Index Futures in a New Market," European Financial Management, European Financial Management Association, vol. 14(5), pages 1007-1025, November.
    4. Merton, Robert C, 1998. "Applications of Option-Pricing Theory: Twenty-Five Years Later," American Economic Review, American Economic Association, vol. 88(3), pages 323-349, June.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. 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.
    7. Krolzig, H., 1996. "Statistical Analysis of Cointegrated VAR Processes with Markovian Regime Shifts," SFB 373 Discussion Papers 1996,25, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    9. Norrbin, Stefan C. & Reffett, Kevin L., 1996. "Exogeneity and forward rate unbiasedness," Journal of International Money and Finance, Elsevier, vol. 15(2), pages 267-274, April.
    10. M. Illueca & J. A. Lafuente, 2003. "The effect of spot and futures trading on stock index market volatility: A nonparametric approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(9), pages 841-858, September.
    11. Merton, Robert C., 1995. "Financial innovation and the management and regulation of financial institutions," Journal of Banking & Finance, Elsevier, vol. 19(3-4), pages 461-481, June.
    12. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    13. Cox, Charles C, 1976. "Futures Trading and Market Information," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1215-1237, December.
    14. Yiuman Tse, 1999. "Price discovery and volatility spillovers in the DJIA index and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(8), pages 911-930, December.
    15. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
    16. Abhay Abhyankar, 1998. "Linear and nonlinear Granger causality: Evidence from the U.K. stock index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(5), pages 519-540, August.
    17. Stephen A. Ross, 1976. "Options and Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(1), pages 75-89.
    18. Zhong, Maosen & Darrat, Ali F. & Otero, Rafael, 2004. "Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3037-3054, December.
    19. Michael A. Pizzi & Andrew J. Economopoulos & Heather M. O'Neill, 1998. "An examination of the relationship between stock index cash and futures markets: A cointegration approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(3), pages 297-305, May.
    20. Eugene F. Fama & Kenneth R. French, 2015. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 4, pages 79-102, World Scientific Publishing Co. Pte. Ltd..
    21. Gregory, Allan W & Hansen, Bruce E, 1996. "Tests for Cointegration in Models with Regime and Trend Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 555-560, August.
    22. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    23. George Karathanassis & Vasilios Sogiakas, 2010. "Spill over effects of futures contracts initiation on the cash market: a regime shift approach," Review of Quantitative Finance and Accounting, Springer, vol. 34(1), pages 95-143, January.
    24. Villanueva, O. Miguel, 2007. "Spot-forward cointegration, structural breaks and FX market unbiasedness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(1), pages 58-78, February.
    25. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    26. Gregory Koutmos & Michael Tucker, 1996. "Temporal relationships and dynamic interactions between spot and futures stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 55-69, February.
    27. Jae H. Min & Mohammad Najand, 1999. "A further investigation of the lead–lag relationship between the spot market and stock index futures: Early evidence from Korea," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 217-232, April.
    28. Sanford J. Grossman, 1977. "The Existence of Futures Markets, Noisy Rational Expectations and Informational Externalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 431-449.
    29. Richard Holowczak & Yusif Simaan & Liuren Wu, 2006. "Price discovery in the U.S. stock and stock options markets: A portfolio approach," Review of Derivatives Research, Springer, vol. 9(1), pages 37-65, January.
    30. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    31. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    32. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    33. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    34. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
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    More about this item

    Keywords

    Spurious spillover effects; Derivatives markets; Regime shift;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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