IDEAS home Printed from https://ideas.repec.org/a/wly/emetrp/v85y2017ip1219-1238.html
   My bibliography  Save this article

The Identification of Beliefs From Asset Demand

Author

Listed:
  • Felix Kübler
  • Herakles Polemarchakis

Abstract

The demand for assets as prices and initial wealth vary identifies beliefs and attitudes towards risk. We derive conditions that guarantee identification with no knowledge either of the cardinal utility index (attitudes towards risk) or of the distribution of future endowments or payoffs of assets; the argument applies even if the asset market is incomplete and demand is observed only locally.

Suggested Citation

  • Felix Kübler & Herakles Polemarchakis, 2017. "The Identification of Beliefs From Asset Demand," Econometrica, Econometric Society, vol. 85, pages 1219-1238, July.
    • Handle: RePEc:wly:emetrp:v:85:y:2017:i::p:1219-1238
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    2. repec:dau:papers:123456789/13505 is not listed on IDEAS
    3. Philip Dybvig & Heraklis Polemarchakis, 1981. "Recovering Cardinal Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 159-166.
    4. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    5. Jaroslav Borovička & Lars Peter Hansen & José A. Scheinkman, 2016. "Misspecified Recovery," Journal of Finance, American Finance Association, vol. 71(6), pages 2493-2544, December.
    6. Chiappori, P. -A. & Ekeland, I. & Kubler, F. & Polemarchakis, H. M., 2004. "Testable implications of general equilibrium theory: a differentiable approach," Journal of Mathematical Economics, Elsevier, vol. 40(1-2), pages 105-119, February.
    7. Kubler, F. & Chiappori, P. -A. & Ekeland, I. & Polemarchakis, H. M., 2002. "The Identification of Preferences from Equilibrium Prices under Uncertainty," Journal of Economic Theory, Elsevier, vol. 102(2), pages 403-420, February.
    8. Steve Ross, 2015. "The Recovery Theorem," Journal of Finance, American Finance Association, vol. 70(2), pages 615-648, April.
    9. Dybvig, Philip H & Rogers, L C G, 1997. "Recovery of Preferences from Observed Wealth in a Single Realization," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 151-174.
    10. Federico Echenique & Kota Saito, 2015. "Savage in the Market," Econometrica, Econometric Society, vol. 83(4), pages 1467-1495, July.
    11. Felix Kubler & Larry Selden & Xiao Wei, 2014. "Asset Demand Based Tests of Expected Utility Maximization," American Economic Review, American Economic Association, vol. 104(11), pages 3459-3480, November.
    12. Varian, Hal R., 1983. "Nonparametric Tests of Models of Investor Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(3), pages 269-278, September.
    13. Mas-Colell, Andreu, 1977. "The Recoverability of Consumers' Preferences from Market Demand Behavior," Econometrica, Econometric Society, vol. 45(6), pages 1409-1430, September.
    14. Polemarchakis, H. M., 1983. "Observable probabilistic beliefs," Journal of Mathematical Economics, Elsevier, vol. 11(1), pages 65-75, January.
    15. Polemarchakis, H. M., 1979. "Is there an income effect?," Journal of Economic Theory, Elsevier, vol. 21(3), pages 380-388, December.
    16. Chiappori, P. A. & Ekeland, I., 2004. "Individual excess demands," Journal of Mathematical Economics, Elsevier, vol. 40(1-2), pages 41-57, February.
    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. Anastasia Burkovskaya, 2022. "A model of state aggregation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(1), pages 121-149, February.
    2. Gorno, Leandro, 2019. "Revealed preference and identification," Journal of Economic Theory, Elsevier, vol. 183(C), pages 698-739.
    3. Kubler, Felix & Selden, Larry & Wei, Xiao, 2020. "Incomplete market demand tests for Kreps-Porteus-Selden preferences," Journal of Economic Theory, Elsevier, vol. 185(C).

    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. Polemarchakis, Herakles & Selden, Larry & Song, Xinxi, 2017. "The identification of attitudes towards ambiguity and risk from asset demand," CRETA Online Discussion Paper Series 28, Centre for Research in Economic Theory and its Applications CRETA.
    2. Kubler, Felix & Selden, Larry & Wei, Xiao, 2020. "Incomplete market demand tests for Kreps-Porteus-Selden preferences," Journal of Economic Theory, Elsevier, vol. 185(C).
    3. Kubler, F. & Chiappori, P. -A. & Ekeland, I. & Polemarchakis, H. M., 2002. "The Identification of Preferences from Equilibrium Prices under Uncertainty," Journal of Economic Theory, Elsevier, vol. 102(2), pages 403-420, February.
    4. Dillschneider, Yannick & Maurer, Raimond, 2019. "Functional Ross recovery: Theoretical results and empirical tests," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    5. Chambers, Christopher P. & Liu, Ce & Martinez, Seung-Keun, 2016. "A test for risk-averse expected utility," Journal of Economic Theory, Elsevier, vol. 163(C), pages 775-785.
    6. Michel Dacorogna & Juan-José Francisco Miguelez & Marie Kratz, 2016. "Risk neutral versus real-world distribution on puclicly listed bank corporations," Working Papers hal-01373071, HAL.
    7. Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
    8. Krebs, Tom, 2004. "Testable implications of consumption-based asset pricing models with incomplete markets," Journal of Mathematical Economics, Elsevier, vol. 40(1-2), pages 191-206, February.
    9. Felix Brinkmann & Olaf Korn, 2018. "Risk-adjusted option-implied moments," Review of Derivatives Research, Springer, vol. 21(2), pages 149-173, July.
    10. Escanciano, Juan Carlos & Hoderlein, Stefan & Lewbel, Arthur & Linton, Oliver & Srisuma, Sorawoot, 2021. "Nonparametric Euler Equation Identification And Estimation," Econometric Theory, Cambridge University Press, vol. 37(5), pages 851-891, October.
    11. Chiappori, P.A. & Ekeland, I., 2006. "The micro economics of group behavior: General characterization," Journal of Economic Theory, Elsevier, vol. 130(1), pages 1-26, September.
    12. Fernández-Villaverde, Jesús & Levintal, Oren, 2024. "The Distributional Effects of Asset Returns," CEPR Discussion Papers 18855, C.E.P.R. Discussion Papers.
    13. Ait-Sahalia, Yacine & Duarte, Jefferson, 2003. "Nonparametric option pricing under shape restrictions," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 9-47.
    14. Geanakoplos, J. D. & Polemarchakis, H. M., 1990. "Observability and optimality," Journal of Mathematical Economics, Elsevier, vol. 19(1-2), pages 153-165.
    15. Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
    16. Borovička, Jaroslav & Stachurski, John, 2021. "Stability of equilibrium asset pricing models: A necessary and sufficient condition," Journal of Economic Theory, Elsevier, vol. 193(C).
    17. Liu, Hong & Tang, Xiaoxiao & Zhou, Guofu, 2022. "Recovering the FOMC risk premium," Journal of Financial Economics, Elsevier, vol. 145(1), pages 45-68.
    18. Joshua Lanier & John K. -H. Quah, 2024. "Goodness-of-fit and utility estimation: what's possible and what's not," Papers 2405.08464, arXiv.org.
    19. Pierre‐André Chiappori & Bernard Salanié & François Salanié & Amit Gandhi, 2019. "From Aggregate Betting Data to Individual Risk Preferences," Econometrica, Econometric Society, vol. 87(1), pages 1-36, January.
    20. Carvajal, Andres & Ray, Indrajit & Snyder, Susan, 2004. "Equilibrium behavior in markets and games: testable restrictions and identification," Journal of Mathematical Economics, Elsevier, vol. 40(1-2), pages 1-40, February.

    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:wly:emetrp:v:85:y:2017:i::p:1219-1238. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.