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Optimal closing benchmarks

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Listed:
  • Frei, Christoph
  • Mitra, Joshua

Abstract

In financial markets, the closing price serves as an important benchmark. We introduce a market model to analyze the stability of the closing price with presence of three types of volume: distorting volume, volume that targets the closing price, and volume that is unrelated to the closing price. The optimal closing price is either the price from an auction or the volume weighted average price (VWAP) from regular trading only, explaining the prevalence of these closing benchmarks on financial markets. A succinct condition depending on the different volume types indicates when the inclusion of a closing auction is optimal.

Suggested Citation

  • Frei, Christoph & Mitra, Joshua, 2021. "Optimal closing benchmarks," Finance Research Letters, Elsevier, vol. 40(C).
    • Handle: RePEc:eee:finlet:v:40:y:2021:i:c:s1544612320301537
    DOI: 10.1016/j.frl.2020.101674
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    References listed on IDEAS

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    1. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2005. "Limit Order Book as a Market for Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1171-1217.
    2. Duffie, Darrell & Dworczak, Piotr, 2021. "Robust benchmark design," Journal of Financial Economics, Elsevier, vol. 142(2), pages 775-802.
    3. Angelo Aspris & Sean Foley & Peter O'Neill, 2020. "Benchmarks in the spotlight: The impact on exchange traded markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1691-1710, November.
    4. Kandel, Eugene & Rindi, Barbara & Bosetti, Luisella, 2012. "The effect of a closing call auction on market quality and trading strategies," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 23-49.
    5. Hillion, Pierre & Suominen, Matti, 2004. "The manipulation of closing prices," Journal of Financial Markets, Elsevier, vol. 7(4), pages 351-375, October.
    6. Albert S Kyle & Anna A Obizhaeva & Yajun Wang, 2018. "Smooth Trading with Overconfidence and Market Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 611-662.
    7. Olivier Gu'eant & Guillaume Royer, 2013. "VWAP execution and guaranteed VWAP," Papers 1306.2832, arXiv.org, revised May 2014.
    8. Humphery-Jenner, Mark L., 2011. "Optimal VWAP trading under noisy conditions," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2319-2329, September.
    9. Christoph Frei & Nicholas Westray, 2015. "Optimal Execution Of A Vwap Order: A Stochastic Control Approach," Mathematical Finance, Wiley Blackwell, vol. 25(3), pages 612-639, July.
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    Cited by:

    1. Markus Baldauf & Christoph Frei & Joshua Mollner, 2022. "Principal Trading Arrangements: When Are Common Contracts Optimal?," Management Science, INFORMS, vol. 68(4), pages 3112-3128, April.

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    More about this item

    Keywords

    Benchmark stability; Closing auction; Volume weighted average price; VWAP;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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