IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v34y2021i8p3840-3879..html
   My bibliography  Save this article

When a Master Dies: Speculation and Asset Float
[Optimal financial crises]

Author

Listed:
  • Julien Pénasse
  • Luc Renneboog
  • José A Scheinkman
  • Stijn Van Nieuwerburgh

Abstract

An artist’s death constitutes a negative shock to his future production; death permanently decreases the artist’s float. We use this shock to test predictions of speculative trading models with short-selling constraints. As predicted in our model, we find that an artist’s premature death leads to a permanent increase in prices and turnover; this effect being larger for more famous artists. We document that premature death increases prices (by 54.7%) and secondary market volume (by 63.2%).

Suggested Citation

  • Julien Pénasse & Luc Renneboog & José A Scheinkman & Stijn Van Nieuwerburgh, 2021. "When a Master Dies: Speculation and Asset Float [Optimal financial crises]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3840-3879.
  • Handle: RePEc:oup:rfinst:v:34:y:2021:i:8:p:3840-3879.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhab006
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alan Beggs & Kathryn Graddy, 2009. "Anchoring Effects: Evidence from Art Auctions," American Economic Review, American Economic Association, vol. 99(3), pages 1027-1039, June.
    2. Jianping Mei & Michael Moses, 2005. "Vested Interest and Biased Price Estimates: Evidence from an Auction Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2409-2435, October.
    3. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    4. Harrison Hong & José Scheinkman & Wei Xiong, 2006. "Asset Float and Speculative Bubbles," Journal of Finance, American Finance Association, vol. 61(3), pages 1073-1117, June.
    5. Heinrich W. Ursprung & Christian Wiermann, 2011. "Reputation, Price, And Death: An Empirical Analysis Of Art Price Formation," Economic Inquiry, Western Economic Association International, vol. 49(3), pages 697-715, July.
    6. Marcel Nutz & José A. Scheinkman, 2020. "Shorting in Speculative Markets," Journal of Finance, American Finance Association, vol. 75(2), pages 995-1036, April.
    7. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    8. Arthur Korteweg & Roman Kräussl & Patrick Verwijmeren, 2016. "Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1007-1038.
    9. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    10. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    11. David W. Galenson & Bruce A. Weinberg, 2000. "Age and the Quality of Work: The Case of Modern American Painters," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 761-777, August.
    12. Eli Ofek & Matthew Richardson, 2003. "DotCom Mania: The Rise and Fall of Internet Stock Prices," Journal of Finance, American Finance Association, vol. 58(3), pages 1113-1137, June.
    13. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    14. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    15. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    16. repec:bla:jfinan:v:58:y:2003:i:3:p:1113-1138 is not listed on IDEAS
    17. Stefano Lovo & Christophe Spaenjers, 2018. "A Model of Trading in the Art Market," American Economic Review, American Economic Association, vol. 108(3), pages 744-774, March.
    18. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    19. R. Ekelund & Rand Ressler & John Watson, 2000. "The ``Death-Effect'' in Art Prices: A Demand-Side Exploration," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(4), pages 283-300, November.
    20. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," Working Papers 1398, Princeton University, Department of Economics, Econometric Research Program..
    21. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    22. David Maddison & Anders Jul Pedersen, 2008. "The death effect in art prices: evidence from Denmark," Applied Economics, Taylor & Francis Journals, vol. 40(14), pages 1789-1793.
    23. Pesando, James E, 1993. "Art as an Investment: The Market for Modern Prints," American Economic Review, American Economic Association, vol. 83(5), pages 1075-1089, December.
    24. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    25. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yuexin Li & Xiaoyin Ma & Luc Renneboog, 2024. "In Art We Trust," Management Science, INFORMS, vol. 70(1), pages 98-127, January.
    2. William N Goetzmann & Christophe Spaenjers & Stijn Van Nieuwerburgh, 2021. "Real and Private-Value Assets [Gendered prices]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3497-3526.
    3. Ma, Marshall Xiaoyin & Noussair, Charles N. & Renneboog, Luc, 2022. "Colors, Emotions, and the Auction Value of Paintings," European Economic Review, Elsevier, vol. 142(C).
    4. Prieto-Rodriguez, Juan & Vecco, Marilena, 2021. "Reading between the lines in the art market: Lack of transparency and price heterogeneity as an indicator of multiple equilibria," Economic Modelling, Elsevier, vol. 102(C).
    5. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    6. Etro, Federico & Stepanova, Elena, 2021. "Art return rates from old master paintings to contemporary art," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 94-116.
    7. Heinrich Ursprung & Katarina Zigova, 2021. "The Ultimate Coasian Commitment: Estimating and Explaining Artist-Specific Death Effects," Working Papers CEB 21-013, ULB -- Universite Libre de Bruxelles.

    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. Julien Pénasse & Luc Renneboog, 2022. "Speculative Trading and Bubbles: Evidence from the Art Market," Management Science, INFORMS, vol. 68(7), pages 4939-4963, July.
    2. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    3. Eom, Yunsung, 2021. "Kimchi premium and speculative trading in bitcoin," Finance Research Letters, Elsevier, vol. 38(C).
    4. Jose A. Scheinkman, 2013. "Speculation, Trading and Bubbles Third Annual Arrow Lecture," Working Papers 1458, Princeton University, Department of Economics, Econometric Research Program..
    5. Liu, Clark & Wang, Shujing & Wei, K.C. John, 2021. "Demand shock, speculative beta, and asset prices: Evidence from the Shanghai-Hong Kong Stock Connect program," Journal of Banking & Finance, Elsevier, vol. 126(C).
    6. Etro, Federico & Stepanova, Elena, 2021. "Art return rates from old master paintings to contemporary art," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 94-116.
    7. Wei Xiong, 2013. "Bubbles, Crises, and Heterogeneous Beliefs," NBER Working Papers 18905, National Bureau of Economic Research, Inc.
    8. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2021. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 118887, London School of Economics and Political Science, LSE Library.
    9. Tibor Neugebauer & Sascha Füllbrunn, 2013. "Deflating Bubbles in Experimental Asset Markets: Comparative Statics of Margin Regulations," LSF Research Working Paper Series 13-14, Luxembourg School of Finance, University of Luxembourg.
    10. Liao, Jingchi & Peng, Cheng & Zhu, Ning, 2019. "Price and volume dynamics in bubbles," LSE Research Online Documents on Economics 102057, London School of Economics and Political Science, LSE Library.
    11. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    12. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2022. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 110514, London School of Economics and Political Science, LSE Library.
    13. Werner, Jan, 2022. "Speculative trade under ambiguity," Journal of Economic Theory, Elsevier, vol. 199(C).
    14. ÅžimÅŸek, Alp, 2021. "The Macroeconomics of Financial Speculation," CEPR Discussion Papers 15733, C.E.P.R. Discussion Papers.
    15. Yu-Jane Liu & Zheng Zhang & Longkai Zhao, 2015. "Speculation Spillovers," Management Science, INFORMS, vol. 61(3), pages 649-664, March.
    16. Marcel Nutz & José A. Scheinkman, 2020. "Shorting in Speculative Markets," Journal of Finance, American Finance Association, vol. 75(2), pages 995-1036, April.
    17. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," 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 1221-1288, Elsevier.
    18. Marcel Nutz & José A. Scheinkman, 2017. "Supply and Shorting in Speculative Markets," NBER Working Papers 23751, National Bureau of Economic Research, Inc.
    19. Régis Blazy & Marie Blum, 2022. "Horizontal and vertical differentiation in comic art auctions," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1382-1415, July.
    20. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.

    More about this item

    Keywords

    G12; P34; Z11; D44;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G4 - Financial Economics - - Behavioral Finance
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

    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:oup:rfinst:v:34:y:2021:i:8:p:3840-3879.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.