IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28020.html
   My bibliography  Save this paper

Is There Too Much Benchmarking in Asset Management?

Author

Listed:
  • Anil K Kashyap
  • Natalia Kovrijnykh
  • Jian Li
  • Anna Pavlova

Abstract

We propose a tractable model of asset management in which benchmarking arises endogenously, and analyze its unintended welfare consequences. Fund managers’ portfolios are not contractible and they incur private costs in running them. Incentive contracts for fund managers create a pecuniary externality through their effect on asset prices. Benchmarking inflates asset prices and creates crowded trades. The crowding reduces the effectiveness of benchmarking in incentive contracts for others, which fund investors fail to account for. A social planner, recognizing the crowding, opts for contracts with less benchmarking and less incentive provision. The planner also delivers lower asset management costs.

Suggested Citation

  • Anil K Kashyap & Natalia Kovrijnykh & Jian Li & Anna Pavlova, 2020. "Is There Too Much Benchmarking in Asset Management?," NBER Working Papers 28020, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28020
    Note: AP CF
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28020.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kashyap, Anil K & Kovrijnykh, Natalia & Li, Jian & Pavlova, Anna, 2021. "The benchmark inclusion subsidy," Journal of Financial Economics, Elsevier, vol. 142(2), pages 756-774.
    2. Dimitri Vayanos & Paul Woolley, 2023. "Asset Management as Creator of Market Inefficiency," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 51(1), pages 1-11, March.
    3. Corum, Adrian Aycan & Malenko, Andrey & Malenko, Nadya, 2020. "Corporate Governance in the Presence of Active and Passive Delegated Investment," OSF Preprints 8n6xj, Center for Open Science.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:28020. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.