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Is after-hours trading informative?

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  • Ulibarri, Carlos A.
Abstract
This article investigates price and trading volume relations for near term crude oil contracts at the New York Mercantile Exchange (NYMEX). The study investigates the informativeness of after-hours trading under the prior assumption that daytime and after-hours trading sessions are completely segmented. The research methodology uses a vector autoregressive (VAR) structural model to identify the lead/lag structure between the leading overnight session and the lagging daytime session. This framework permits us to impose testable restrictions in considering the view that after-hours price changes and trading volumes provide contemporaneous information in the daytime price discovery process. Furthermore, the reduced-form VAR allows testing whether innovations (surprises) in daytime prices and trading activity influence overnight price/volume behavior.

Suggested Citation

  • Ulibarri, Carlos A., 1998. "Is after-hours trading informative?," MPRA Paper 14818, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:14818
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    References listed on IDEAS

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    Cited by:

    1. Ling T. He & K. Michael Casey, 2011. "On The Pricing Of Dual Class Stocks: Evidence From Berkshire Hathaway," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 5(1), pages 103-112.
    2. Ulibarri, Carlos A. & Schatzberg, John, 2003. "Liquidity costs: Screen-based trading versus open outcry," Review of Financial Economics, Elsevier, vol. 12(4), pages 381-396.
    3. Ulibarri, Carlos A., 2004. "Introducing contemporaneous open-outcry and e-trading at the Chicago Board of Trade," MPRA Paper 14821, University Library of Munich, Germany.
    4. Conghui Hu & Wei Xiong, 2013. "Are Commodity Futures Prices Barometers of the Global Economy?," NBER Working Papers 19706, National Bureau of Economic Research, Inc.
    5. I-Chun Tsai, 2010. "Order imbalances from after-hours trading," Applied Financial Economics, Taylor & Francis Journals, vol. 20(12), pages 983-987.
    6. Lin, Sharon Xiaowen & Tamvakis, Michael N., 2001. "Spillover effects in energy futures markets," Energy Economics, Elsevier, vol. 23(1), pages 43-56, January.

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    More about this item

    Keywords

    futures markets; after hour trading; structural var model;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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