IDEAS home Printed from https://ideas.repec.org/a/jof/jforec/v27y2008i8p649-669.html
   My bibliography  Save this article

Modeling regime transition in stock index futures markets and forecasting implications

Author

Listed:
  • Angelos Kanas

Abstract

Using a time-varying regime-switching vector error correction approach, this paper seeks to address which factors explain the transition across regimes of the US and the UK stock index futures markets. The findings suggest that the basis exercises a significant effect in regime transition. The basis effect is driven by a dividend yield effect in the UK, and by a dividend yield effect and an interest rate effect in the USA. The volatility of the underlying index is another significant factor, which is consistent with the significance of the basis in conjunction with Chen et al. (1995). Furthermore, there is evidence of an international regime transition effect from the UK to the USA. In most cases, forecasts based on time-varying regime transition models are more accurate than forecasts based on models with constant transition probabilities. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Angelos Kanas, 2008. "Modeling regime transition in stock index futures markets and forecasting implications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 649-669.
  • Handle: RePEc:jof:jforec:v:27:y:2008:i:8:p:649-669
    DOI: 10.1002/for.1084
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/for.1084
    File Function: Link to full text; subscription required
    Download Restriction: no

    File URL: https://libkey.io/10.1002/for.1084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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..
    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. Vicente Meneu & Hipòlit Torró, 2003. "Asymmetric covariance in spot‐futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(11), pages 1019-1046, November.
    4. 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.
    5. 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.
    6. Davidson, James, 2004. "Forecasting Markov-switching dynamic, conditionally heteroscedastic processes," Statistics & Probability Letters, Elsevier, vol. 68(2), pages 137-147, June.
    7. Hansen, Peter Reinhard, 2003. "Structural changes in the cointegrated vector autoregressive model," Journal of Econometrics, Elsevier, vol. 114(2), pages 261-295, June.
    8. Costas Milas & Jesús Otero & Theodore Panagiotidis, 2004. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 277-288.
    9. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    10. Lucio Sarno & Giorgio Valente, 2000. "The cost of carry model and regime shifts in stock index futures markets: An empirical investigation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(7), pages 603-624, August.
    11. 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.
    12. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 145-159, Supplemen.
    13. Chen, Nai-Fu & Cuny, Charles J & Haugen, Robert A, 1995. "Stock Volatility and the Levels of the Basis and Open Interest in Future Contracts," Journal of Finance, American Finance Association, vol. 50(1), pages 281-300, March.
    14. Amir Alizadeh & Nikos Nomikos, 2004. "A Markov regime switching approach for hedging stock indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(7), pages 649-674, July.
    15. Ying‐Foon Chow, 1998. "Regime switching and cointegration tests of the efficiency of futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(8), pages 871-901, December.
    16. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    17. Jian Yang & David A. Bessler, 2004. "The International Price Transmission in Stock Index Futures Markets," Economic Inquiry, Western Economic Association International, vol. 42(3), pages 370-386, July.
    18. Massimiliano Marcellino & Grayham E. Mizon & Hans-Martin Krolzig, 2002. "A Markov-switching vector equilibrium correction model of the UK labour market," Empirical Economics, Springer, vol. 27(2), pages 233-254.
    19. 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.
    20. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    21. Siklos, Pierre L. & Granger, Clive W.J., 1997. "Regime-Sensitive Cointegration With An Application To Interest-Rate Parity," Macroeconomic Dynamics, Cambridge University Press, vol. 1(3), pages 640-657, September.
    22. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
    23. 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.
    24. P. V. Viswanath, 1993. "Efficient use of information, convergence adjustments, and regression estimates of hedge ratios," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(1), pages 43-53, February.
    25. Green, Christopher J & Joujon, Emmanuel, 2000. "Unified Tests of Causality and Cost of Carry: The Pricing of the French Stock Index Futures Contract," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(2), pages 121-140, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    2. Chang, Kuang-Liang, 2012. "Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market," Energy Economics, Elsevier, vol. 34(1), pages 294-306.
    3. Avdoulas Christos & Bekiros Stelios & Lucey Brian, 2020. "The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-23, September.

    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. Angelos Kanas, 2009. "Regime switching in stock index and futures markets: a note on the NIKKEI evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 394-399.
    2. 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.
    3. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    4. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.
    5. H. Kent Baker & Satish Kumar & Nitesh Pandey, 2021. "Forty years of the Journal of Futures Markets: A bibliometric overview," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1027-1054, July.
    6. Clements, Michael P. & Galvao, Ana Beatriz, 2004. "A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure," International Journal of Forecasting, Elsevier, vol. 20(2), pages 219-236.
    7. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    8. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    9. Kristensen, Dennis & Rahbek, Anders, 2010. "Likelihood-based inference for cointegration with nonlinear error-correction," Journal of Econometrics, Elsevier, vol. 158(1), pages 78-94, September.
    10. Tillmann, Peter, 2003. "Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates," Bonn Econ Discussion Papers 27/2003, University of Bonn, Bonn Graduate School of Economics (BGSE).
    11. Sarno, Lucio & Thornton, Daniel L & Valente, Giorgio, 2005. "Federal Funds Rate Prediction," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 449-471, June.
    12. PeterTillmann, 2004. "Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates," Computing in Economics and Finance 2004 53, Society for Computational Economics.
    13. Moawia Alghalith & Ricardo Lalloob, 2012. "A General Empirical Model of Hedging," JRFM, MDPI, vol. 5(1), pages 1-19, December.
    14. Camacho, Maximo, 2005. "Markov-switching stochastic trends and economic fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 135-158, January.
    15. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    16. Ana Beatriz Galvão & Michael Artis & Massimiliano Marcellino, 2007. "The transmission mechanism in a changing world," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 39-61.
    17. Kao, Chung-Wei & Wan, Jer-Yuh, 2009. "Information transmission and market interactions across the Atlantic -- an empirical study on the natural gas market," Energy Economics, Elsevier, vol. 31(1), pages 152-161, January.
    18. Emmanuel Hache & Frédéric Lantz, 2011. "Oil price volatility: An Econometric Analysis of the WTI Market," Working Papers hal-02472326, HAL.
    19. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    20. Maximo Camacho, 2002. "Nonlinear stochastic trends and economic fluctuations," Computing in Economics and Finance 2002 274, Society for Computational Economics.

    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:jof:jforec:v:27:y:2008:i:8:p:649-669. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/2966 .

    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.