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The International Price Transmission in Stock Index Futures Markets

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Listed:
  • Jian Yang
  • David A. Bessler

Abstract

This study explores dynamic price relationships among nine major stock index futures markets, combining an error-correction model with directed acyclic graph (DAG) analysis. DAG-based innovation accounting results show that the Japanese market is isolated from other major stock index futures markets. The United States and the United Kingdom appear to share leadership roles in stock index futures markets. The UK and German markets rather than the U.S. exert significant influences on most European markets, which indicates a pattern of regional integration in Europe. Innovation accounting results based on widely used Choleski decomposition are found to be seriously misleading. (JEL G15, C32) Copyright 2004, Oxford University Press.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:ecinqu:v:42:y:2004:i:3:p:370-386
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    Citations

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    Cited by:

    1. Chen, Jing & Han, Qian & Ryu, Doojin & Tang, Jing, 2022. "Does the world smile together? A network analysis of global index option implied volatilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    2. Selva Demiralp & Kevin D. Hoover & Stephen J. Perez, 2008. "A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 509-533, August.
    3. 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.
    4. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    5. Wang, Zijun & Yang, Jian & Li, Qi, 2007. "Interest rate linkages in the Eurocurrency market: Contemporaneous and out-of-sample Granger causality tests," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 86-103, February.
    6. Selva Demiralp & Kevin Hoover & Stephen Perez, 2014. "Still puzzling: evaluating the price puzzle in an empirically identified structural vector autoregression," Empirical Economics, Springer, vol. 46(2), pages 701-731, March.
    7. Dharmasena, Senarath & Fang, Lu & Bessler, David A. & Jing, Wang, 2014. "Price Discovery of World and China Vegetable Oil Markets and Causality with Non-Gaussian Innovations," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169781, Agricultural and Applied Economics Association.
    8. Yang, Jian & Guo, Hui & Wang, Zijun, 2006. "International transmission of inflation among G-7 countries: A data-determined VAR analysis," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2681-2700, October.
    9. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    10. 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.
    11. Chigbu Emmanuel Ezeji, 2014. "Impact of Long-Run Exchange Rate Volatility on Stock Market Performance in Nigeria," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 2(2), pages 70-77.
    12. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    13. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    14. Yang, Jian & Bessler, David A., 2008. "Contagion around the October 1987 stock market crash," European Journal of Operational Research, Elsevier, vol. 184(1), pages 291-310, January.
    15. Crentsil Kofi Agyekum & Haifeng Huang & Jianshu Chen, 2017. "The impact of the Chinese cornstarch futures on spot market and corn futures market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1405580-140, January.
    16. Narayanan Krishna Kumar, 2020. "Brent Prices and Its Impact on Financial Markets of BRIC Nations," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(1), pages 91-108, June.
    17. Hasan F. Baklaci & Ömür Süer & Tezer Yelkenci̇, 2018. "Price Linkages Among Emerging Gold Futures Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(05), pages 1345-1365, December.
    18. Ismail bin Ahmad & Fahmi bin Abdul Rahim, 2009. "International price relationship and volatility transmission between stock index and stock index futures," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 1(1), pages 61-75, April.
    19. Kung, Ling-Ming & Yu, Shang-Wu, 2008. "Prediction of index futures returns and the analysis of financial spillovers--A comparison between GARCH and the grey theorem," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1184-1200, May.
    20. Chatterjee, Susmita & Bagchi, Bhaskar & Dandapat, Dhruba Ranjan, 2016. "Oil Price Shock and Effects on Stock Markets of Emerging Economies," MPRA Paper 75883, University Library of Munich, Germany.
    21. Ercan Özen & Özdemir Letife & Simon Grima & Frank Bezzina, 2014. "Investigating Causality Effects in Return Volatility among Five Major Futures Markets in European Countries with a Mediterranean Connection," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 2, pages 207-220, December.

    More about this item

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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

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