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Intraday Seasonality in Efficiency, Liquidity, Volatility and Volume: Platinum and Gold Futures in Tokyo and New York

Author

Listed:
  • Kentaro Iwatsubo

    (Graduate School of Economics, Kobe University)

  • Clinton Watkins

    (Graduate School of Economics, Kobe University)

  • Tao Xu

    (Graduate School of Economics, Kobe University)

Abstract
We investigate intraday seasonality in, and relationships between, informational efficiency, volatility, volume and liquidity. Platinum and gold, both traded in overlapping sessions in Tokyo and New York, provide an interesting comparison because Tokyo is an internationally important trading venue for platinum but not for gold. Our analysis indicates that both platinum and gold markets in Tokyo are dominated by uninformed trading, while there is evidence supporting both uninformed and informed trading in New York. Separating global trading hours into Tokyo, London and New York day sessions, we also find that uninformed trading is more prevalent during the Tokyo day session while informed trading dominates the New York day session for both metals in both locations. This evidence suggests that futures markets for the same underlying commodity on different exchanges have different microstructure characteristics, while both informed and uninformed traders choose when to trade depending on market characteristics in different time zones.

Suggested Citation

  • Kentaro Iwatsubo & Clinton Watkins & Tao Xu, 2017. "Intraday Seasonality in Efficiency, Liquidity, Volatility and Volume: Platinum and Gold Futures in Tokyo and New York," Discussion Papers 1722, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1722
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    Citations

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    Cited by:

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    2. Ying Jiang & Neil Kellard & Xiaoquan Liu, 2020. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1486-1507, October.
    3. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.
    4. Ding, Shusheng & Zhang, Yongmin, 2020. "Cross market predictions for commodity prices," Economic Modelling, Elsevier, vol. 91(C), pages 455-462.
    5. Shusheng Ding & Zhipan Yuan & Fan Chen & Xihan Xiong & Zheng Lu & Tianxiang Cui, 2021. "Impact persistence of stock market risks in commodity markets: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-22, November.
    6. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    7. Anastasios Demertzidis, 2019. "Interbank transactions on the intraday frequency: -Different market states and the effects of the financial crisis-," MAGKS Papers on Economics 201932, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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    More about this item

    Keywords

    intraday patterns; microstructure; efficiency; commodity futures;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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