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Principal Trading Arrangements: When Are Common Contracts Optimal?

Author

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  • Markus Baldauf

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

  • Christoph Frei

    (Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta T6G 2G1, Canada)

  • Joshua Mollner

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

Many financial arrangements reference market prices that are yet to be realized at the time of contracting and consequently susceptible to manipulation. Two of the most common such arrangements are as follows: (i) guaranteed volume-weighted average price (VWAP) contracts, which reference the VWAP prevailing over an execution window, and (ii) market-on-close contracts, which reference the price prevailing at the window’s end. To study such situations, we introduce a stylized model of financial contracting between a client, who wishes to trade a large position, and the client’s dealer. We provide conditions under which guaranteed VWAP contracts are optimal in this principal-agent problem. In contrast, market-on-close contracts generally cannot be optimal. These results explain the use of guaranteed VWAP contracts in practice, question the use of market-on-close contracts, and suggest considerations for the design of financial benchmarks.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:4:p:3112-3128
    DOI: 10.1287/mnsc.2021.4022
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    References listed on IDEAS

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    1. Duffie, Darrell & Dworczak, Piotr, 2021. "Robust benchmark design," Journal of Financial Economics, Elsevier, vol. 142(2), pages 775-802.
    2. Darrell Duffie & Piotr Dworczak & Haoxiang Zhu, 2017. "Benchmarks in Search Markets," Journal of Finance, American Finance Association, vol. 72(5), pages 1983-2044, October.
    3. Frei, Christoph & Mitra, Joshua, 2021. "Optimal closing benchmarks," Finance Research Letters, Elsevier, vol. 40(C).
    4. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    5. Suleyman Basak & Anna Pavlova, 2013. "Asset Prices and Institutional Investors," American Economic Review, American Economic Association, vol. 103(5), pages 1728-1758, August.
    6. Hillion, Pierre & Suominen, Matti, 2004. "The manipulation of closing prices," Journal of Financial Markets, Elsevier, vol. 7(4), pages 351-375, October.
    7. Brian Coulter & Joel Shapiro & Peter Zimmerman, 2018. "A Mechanism for LIBOR [Optimal selling strategies under uncertainty for a discriminating monopolist when demands are interdependent]," Review of Finance, European Finance Association, vol. 22(2), pages 491-520.
    8. Itzhak Ben‐David & Francesco Franzoni & Augustin Landier & Rabih Moussawi, 2013. "Do Hedge Funds Manipulate Stock Prices?," Journal of Finance, American Finance Association, vol. 68(6), pages 2383-2434, December.
    9. Kumar, Praveen & Seppi, Duane J, 1992. "Futures Manipulation with "Cash Settlement."," Journal of Finance, American Finance Association, vol. 47(4), pages 1485-1502, September.
    10. Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3364-3402, National Bureau of Economic Research, Inc.
    11. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    12. Humphery-Jenner, Mark L., 2011. "Optimal VWAP trading under noisy conditions," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2319-2329, September.
    13. Henderson, Brian J. & Pearson, Neil D. & Wang, Li, 2020. "Pre-trade hedging: Evidence from the issuance of retail structured products," Journal of Financial Economics, Elsevier, vol. 137(1), pages 108-128.
    14. Fishman, Michael J & Longstaff, Francis A, 1992. "Dual Trading in Futures Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 643-671, June.
    15. Bernhardt, Dan & Taub, Bart, 2010. "How and when is dual trading irrelevant?," Journal of Financial Markets, Elsevier, vol. 13(2), pages 295-320, May.
    16. Subrahmanyam, Avanidhar, 1991. "A Theory of Trading in Stock Index Futures," The Review of Financial Studies, Society for Financial Studies, vol. 4(1), pages 17-51.
    17. Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues [Performance of institutional trading desks: An analysis of persistence in trading costs]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3364-3402.
    18. Gabriel Carroll, 2015. "Robustness and Linear Contracts," American Economic Review, American Economic Association, vol. 105(2), pages 536-563, February.
    19. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 29-45, March.
    20. 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.
    21. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
    22. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    23. Cuoco, Domenico & Kaniel, Ron, 2011. "Equilibrium prices in the presence of delegated portfolio management," Journal of Financial Economics, Elsevier, vol. 101(2), pages 264-296, August.
    24. Robert Battalio & Shane A. Corwin & Robert Jennings, 2016. "Can Brokers Have It All? On the Relation between Make-Take Fees and Limit Order Execution Quality," Journal of Finance, American Finance Association, vol. 71(5), pages 2193-2238, October.
    25. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    26. Carole Comerton-Forde & Tālis J. Putniņš, 2014. "Stock Price Manipulation: Prevalence and Determinants," Review of Finance, European Finance Association, vol. 18(1), pages 23-66.
    27. Sarkar Asani, 1995. "Dual Trading: Winners, Losers, and Market Impact," Journal of Financial Intermediation, Elsevier, vol. 4(1), pages 77-93, January.
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