IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp1537.html
   My bibliography  Save this paper

A Dynamic Equilibrium Model of ETFs

Author

Listed:
  • Semyon MALAMUD

    (Ecole Polytechnique Federale de Lausanne and Swiss Finance Institute)

Abstract

I develop a dynamic general equilibrium model of exchange traded funds (ETFs) that accounts for the two-tier ETF market structure with both a centralized exchange (secondary market) and a creation/redemption mechanism (primary market) operating through market-making firms known as Authorized Participants (APs). The model is tractable and allows for any number of ETFs and basket securities. I show that the creation/redemption mechanism serves as a shock propagation channel through which temporary demand shocks may have long-lasting impacts on future prices. In particular, they may lead to a momentum in asset returns and a persistent ETF pricing gap. Improving liquidity in the primary market stimulates creation/redemption and therefore strengthens the shock propagation channel. As a result, it may amplify the volatility of both the underlying assets and the ETF pricing gap. At the same time, introducing new ETFs may reduce both the volatility and co-movement in the returns and may improve the liquidity of the underlying securities.

Suggested Citation

  • Semyon MALAMUD, 2015. "A Dynamic Equilibrium Model of ETFs," Swiss Finance Institute Research Paper Series 15-37, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1537
    as

    Download full text from publisher

    File URL: http://ssrn.com/abstract=2662433
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Kenechukwu E. Anadu & Mathias S. Kruttli & Patrick E. McCabe & Emilio Osambela, 2018. "The Shift from Active to Passive Investing : Potential Risks to Financial Stability?," Finance and Economics Discussion Series 2018-060r1, Board of Governors of the Federal Reserve System (U.S.), revised 29 Jun 2020.
    2. Itzhak Ben-David & Francesco A. Franzoni & Rabih Moussawi, 2016. "Exchange Traded Funds (ETFs)," Swiss Finance Institute Research Paper Series 16-64, Swiss Finance Institute.
    3. Vandermarliere, B. & Ryckebusch, J. & Schoors, K. & Cauwels, P. & Sornette, D., 2017. "Discrete hierarchy of sizes and performances in the exchange-traded fund universe," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 111-123.
    4. Agarwal, Vikas & Hanouna, Paul & Moussawi, Rabih & Stahel, Christof W., 2021. "Do ETFs increase the commonality in liquidity of underlying stocks?," CFR Working Papers 21-04, University of Cologne, Centre for Financial Research (CFR).
    5. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
    6. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    7. Pan, Kevin & Zeng, Yao, 2017. "ETF arbitrage under liquidity mismatch," ESRB Working Paper Series 59, European Systemic Risk Board.
    8. Karamfil Todorov, 2021. "Passive funds affect prices: evidence from the most ETF-dominated asset classes," BIS Working Papers 952, Bank for International Settlements.
    9. Fabrice Riva & Thomas Marta, 2022. "Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique," Post-Print hal-03969597, HAL.
    10. John J Shim & Karamfil Todorov, 2021. "ETFs, illiquid assets, and fire sales," BIS Working Papers 975, Bank for International Settlements.

    More about this item

    Keywords

    exchange-traded funds; liquidity; volatility; co-movement; mis-pricing;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:chf:rpseri:rp1537. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.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.