IDEAS home Printed from https://ideas.repec.org/a/eee/jfinin/v43y2020ics1042957319300166.html
   My bibliography  Save this article

Intensive margin of the Volcker rule: Price quality and welfare

Author

Listed:
  • Ando, Sakai
  • Matsumura, Misaki

Abstract

We analyze the impact of dealer regulation on price quality (informativeness and volatility) and its implications for the welfare of market participants. We argue that although price informativeness, volatility, and the dealer’s profitability all deteriorate, against conventional wisdom, other market participants are better off due to the dealer’s risk-shifting motive. A static model is used to clarify the main intuition, and the robustness of the welfare results, as well as the fragility of the conventional wisdom about price quality, are discussed by incorporating dynamics and endogenizing information acquisition.

Suggested Citation

  • Ando, Sakai & Matsumura, Misaki, 2020. "Intensive margin of the Volcker rule: Price quality and welfare," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    • Handle: RePEc:eee:jfinin:v:43:y:2020:i:c:s1042957319300166
    DOI: 10.1016/j.jfi.2019.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042957319300166
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jfi.2019.03.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:43:y:1988:i:3:p:617-37 is not listed on IDEAS
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Grossman, S.J. & Miller, M.H., 1988. "Liquidity And Market Structure," Papers 88, Princeton, Department of Economics - Financial Research Center.
    4. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-574, September.
    5. Andrew G. Atkeson & Andrea L. Eisfeldt & Pierre‐Olivier Weill, 2015. "Entry and Exit in OTC Derivatives Markets," Econometrica, Econometric Society, vol. 83, pages 2231-2292, November.
    6. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    7. Bradyn Breon-Drish, 2015. "On Existence and Uniqueness of Equilibrium in a Class of Noisy Rational Expectations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 868-921.
    8. Liu, Hong & Wang, Yajun, 2016. "Market making with asymmetric information and inventory risk," Journal of Economic Theory, Elsevier, vol. 163(C), pages 73-109.
    9. Amihud, Yakov & Mendelson, Haim, 1980. "Dealership market : Market-making with inventory," Journal of Financial Economics, Elsevier, vol. 8(1), pages 31-53, March.
    10. Lu, Chia-Wu & Chen, Tsung-Kang & Liao, Hsien-Hsing, 2010. "Information uncertainty, information asymmetry and corporate bond yield spreads," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2265-2279, September.
    11. repec:bla:jfinan:v:53:y:1998:i:5:p:1623-1656 is not listed on IDEAS
    12. Ho, Thomas S Y & Stoll, Hans R, 1983. "The Dynamics of Dealer Markets under Competition," Journal of Finance, American Finance Association, vol. 38(4), pages 1053-1074, September.
    13. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    2. Vayanos, Dimitri & Wang, Jiang, 2009. "Liquidity and asset prices: a united framework," LSE Research Online Documents on Economics 29303, London School of Economics and Political Science, LSE Library.
    3. Jankowitsch, Rainer & Nashikkar, Amrut & Subrahmanyam, Marti G., 2011. "Price dispersion in OTC markets: A new measure of liquidity," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 343-357, February.
    4. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    5. Guillermo Llorente & Jiang Wang, 2020. "Trading and information in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1231-1263, August.
    6. Martin Evans and Richard K. Lyons, 2002. "Are Different-Currency Assets Imperfect Substitutes?," Working Papers gueconwpa~02-02-12, Georgetown University, Department of Economics.
    7. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    8. Goldstein, Michael A. & Namin, Elmira Shekari, 2023. "Corporate bond liquidity and yield spreads: A review," Research in International Business and Finance, Elsevier, vol. 65(C).
    9. Xu, Yanyan & Huang, Dengshi & Ma, Feng & Qiao, Gaoxiu, 2019. "The heterogeneous impact of liquidity on volatility in Chinese stock index futures market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 73-85.
    10. Albert Wang & Joon Chae, 2004. "Who makes markets? The Role of Dealers and Liquidity Provision," Econometric Society 2004 North American Summer Meetings 364, Econometric Society.
    11. Giovanni Cespa & Xavier Vives, 2015. "The Beauty Contest and Short-Term Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2099-2154, October.
    12. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    13. Han, Bing & Tang, Ya & Yang, Liyan, 2016. "Public information and uninformed trading: Implications for market liquidity and price efficiency," Journal of Economic Theory, Elsevier, vol. 163(C), pages 604-643.
    14. Liu, Hong & Wang, Yajun, 2016. "Market making with asymmetric information and inventory risk," Journal of Economic Theory, Elsevier, vol. 163(C), pages 73-109.
    15. Laux, Paul A., 1995. "Dealer market structure, outside competition, and the bid-ask spread," Journal of Economic Dynamics and Control, Elsevier, vol. 19(4), pages 683-710, May.
    16. Martin D. D. Evans & Richard K. Lyons, 2017. "Are Different-Currency Assets Imperfect Substitutes?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 10, pages 415-456, World Scientific Publishing Co. Pte. Ltd..
    17. Gębka, Bartosz & Wohar, Mark E., 2013. "The determinants of quantile autocorrelations: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 51-61.
    18. Bruno Biais, 1990. "Formation des prix sur les marchés de contrepartie. Une synthèse de la littérature récente," Revue Économique, Programme National Persée, vol. 41(5), pages 755-788.
    19. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4, July-Dece.
    20. Krebs, Tom, 2005. "Fundamentals, information, and international capital flows: A welfare analysis," European Economic Review, Elsevier, vol. 49(3), pages 579-598, April.

    More about this item

    Keywords

    Dealer; Financial regulation; Heterogeneous information; Volcker rule;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:eee:jfinin:v:43:y:2020:i:c:s1042957319300166. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622875 .

    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.