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Price linkage between the US and Japanese futures across different time zones: An analysis of the minute-by-minute data

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  • Kao, Erin H.
  • Ho, Tsung-wu
  • Fung, Hung-Gay

Abstract

This study uses minute-by-minute data to analyze price discovery dynamics between the Nikkei 225 index in Japan and the E-mini S&P 500 index futures in the United States across their respective time zones. Specifically, we apply Gonzalo and Granger's (1995) and Hasbrouck's (1995) models to examine long-term price discovery in the markets and use a Granger-causality test to analyze the short-run dynamics of information transmission. We find a consistent result in the short- and long-run price discovery process. Our results show that the Nikkei 225 index futures price is influenced mainly by information from the location of trading rather than from the home market, supporting the trading-place-bias hypothesis. We also find that the leading role in information transmission has changed over time, from the United States in 2011–2012 to Japan in 2013.

Suggested Citation

  • Kao, Erin H. & Ho, Tsung-wu & Fung, Hung-Gay, 2015. "Price linkage between the US and Japanese futures across different time zones: An analysis of the minute-by-minute data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 321-336.
    • Handle: RePEc:eee:intfin:v:34:y:2015:i:c:p:321-336
    DOI: 10.1016/j.intfin.2014.12.002
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    Cited by:

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    2. Li, Wei-Xuan & Chen, Clara Chia-Sheng & Nguyen, James, 2022. "Which market dominates the price discovery in currency futures? The case of the Chicago Mercantile Exchange and the Intercontinental Exchange," Global Finance Journal, Elsevier, vol. 52(C).
    3. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2017. "Asymmetry in spillover effects: Evidence for international stock index futures markets," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 94-111.
    4. Caner Özdurak & Veysel Ulusoy, 2020. "Spillovers from the Slowdown in China on Financial and Energy Markets: An Application of VAR–VECH–TARCH Models," IJFS, MDPI, vol. 8(3), pages 1-17, August.
    5. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    6. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    7. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 96-114.
    8. Sobti, Neharika & Sehgal, Sanjay & Ilango, Balakrishnan, 2021. "How do macroeconomic news surprises affect round-the-clock price discovery of gold?," International Review of Financial Analysis, Elsevier, vol. 78(C).

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