IDEAS home Printed from https://ideas.repec.org/a/fip/fedmsr/510.html
   My bibliography  Save this article

A Demand System Approach to Asset Pricing

Author

Listed:
  • Ralph S. J. Koijen
  • Motohiro Yogo

Abstract

This Staff Report was previously titled \\"An Equilibrium Model of Institutional Demand and Asset Prices.\\" {{p}} We develop an asset pricing model with rich heterogeneity in asset demand across investors, designed to match institutional holdings data. The equilibrium price vector is uniquely determined by market clearing, which equates the supply of each asset to aggregate demand. We estimate the model on U.S. stock market data by instrumental variables, under an identifying assumption that allows for price impact. The model sheds light on the role of institutions in stock market liquidity, volatility, and predictability. We also relate the model to consumption-based asset pricing and Fama-MacBeth regressions.

Suggested Citation

  • Ralph S. J. Koijen & Motohiro Yogo, . "A Demand System Approach to Asset Pricing," Staff Report, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:510
    as

    Download full text from publisher

    File URL: https://www.minneapolisfed.org/research/sr/sr510.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tobias Adrian & Nina Boyarchenko, 2012. "Intermediary leverage cycles and financial stability," Staff Reports 567, Federal Reserve Bank of New York.
    2. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    3. Amil Dasgupta & Andrea Prat & Michela Verardo, 2011. "The Price Impact of Institutional Herding," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 892-925.
    4. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    5. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    6. Mankiw, N. Gregory & Zeldes, Stephen P., 1991. "The consumption of stockholders and nonstockholders," Journal of Financial Economics, Elsevier, vol. 29(1), pages 97-112, March.
    7. Lewellen, Jonathan, 2011. "Institutional investors and the limits of arbitrage," Journal of Financial Economics, Elsevier, vol. 102(1), pages 62-80, October.
    8. Zhiguo He & Arvind Krishnamurthy, 2013. "Intermediary Asset Pricing," American Economic Review, American Economic Association, vol. 103(2), pages 732-770, April.
    9. Michael W. Brandt & Pedro Santa-Clara & Rossen Valkanov, 2009. "Parametric Portfolio Policies: Exploiting Characteristics in the Cross-Section of Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3411-3447, September.
    10. James L. Davis & Eugene F. Fama & Kenneth R. French, 2000. "Characteristics, Covariances, and Average Returns: 1929 to 1997," Journal of Finance, American Finance Association, vol. 55(1), pages 389-406, February.
    11. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    12. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    13. Péter Kondor & Dimitri Vayanos, 2019. "Liquidity Risk and the Dynamics of Arbitrage Capital," Journal of Finance, American Finance Association, vol. 74(3), pages 1139-1173, June.
    14. Dimitri Vayanos, 1999. "Strategic Trading and Welfare in a Dynamic Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 219-254.
    15. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.), THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 31, pages 465-472, World Scientific Publishing Co. Pte. Ltd..
    16. Alon Brav & George M. Constantinides & Christopher C. Geczy, 2002. "Asset Pricing with Heterogeneous Consumers and Limited Participation: Empirical Evidence," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 793-824, August.
    17. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    18. Campbell, John Y. & Viceira, Luis M., 2002. "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," OUP Catalogue, Oxford University Press, number 9780198296942, Decembrie.
    19. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    20. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    21. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    22. Shleifer, Andrei, 1986. "Do Demand Curves for Stocks Slope Down?," Journal of Finance, American Finance Association, vol. 41(3), pages 579-590, July.
    23. Suleyman Basak & Anna Pavlova, 2013. "Asset Prices and Institutional Investors," American Economic Review, American Economic Association, vol. 103(5), pages 1728-1758, August.
    24. Markus K. Brunnermeier & Yuliy Sannikov, 2014. "A Macroeconomic Model with a Financial Sector," American Economic Review, American Economic Association, vol. 104(2), pages 379-421, February.
    25. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1996. "Market microstructure and asset pricing: On the compensation for illiquidity in stock returns," Journal of Financial Economics, Elsevier, vol. 41(3), pages 441-464, July.
    26. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    27. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, November.
    28. Marzena Rostek & Marek Weretka, 2015. "Dynamic Thin Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2946-2992.
    29. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    30. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    31. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    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. Stefan Lewellen & Adi Sunderam & Mark Egan, 2017. "The Cross Section of Bank Value," 2017 Meeting Papers 1283, Society for Economic Dynamics.
    2. Cassola, Nuno & Koulischer, François, 2019. "The collateral channel of open market operations," Journal of Financial Stability, Elsevier, vol. 41(C), pages 73-90.
    3. Tim A Kroencke & Maik Schmeling & Andreas Schrimpf, 2015. "Global Asset Allocation Shifts," BIS Working Papers 497, Bank for International Settlements.
    4. van Binsbergen, Jules H. & Koijen, Ralph S.J., 2017. "The term structure of returns: Facts and theory," Journal of Financial Economics, Elsevier, vol. 124(1), pages 1-21.

    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. Ralph S. J. Koijen & Motohiro Yogo, 2019. "A Demand System Approach to Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1475-1515.
    2. Mohammad (Vahid) Irani & Hugh Hoikwang Kim, 2023. "The consequences of non‐trading institutional investors," Financial Management, Financial Management Association International, vol. 52(3), pages 433-481, September.
    3. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    4. Wagner, Alexander F. & Glossner, Simon & Matos, Pedro Pinto & Ramelli, Stefano, 2022. "Do institutional investors stabilize equity markets in crisis periods? Evidence from COVID-19," CEPR Discussion Papers 15070, C.E.P.R. Discussion Papers.
    5. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    6. van Dijk, Mathijs A., 2011. "Is size dead? A review of the size effect in equity returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3263-3274.
    7. Andres, Christian & Cumming, Douglas & Karabiber, Timur & Schweizer, Denis, 2014. "Do markets anticipate capital structure decisions? — Feedback effects in equity liquidity," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 133-156.
    8. Cohen, Randolph B. & Gompers, Paul A. & Vuolteenaho, Tuomo, 2002. "Who underreacts to cash-flow news? evidence from trading between individuals and institutions," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 409-462.
    9. Péter Kondor & Dimitri Vayanos, 2019. "Liquidity Risk and the Dynamics of Arbitrage Capital," Journal of Finance, American Finance Association, vol. 74(3), pages 1139-1173, June.
    10. He, Zhiguo & Kelly, Bryan & Manela, Asaf, 2017. "Intermediary asset pricing: New evidence from many asset classes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 1-35.
    11. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    12. Li, Xiafei & Luo, Di, 2019. "Financial constraints, stock liquidity, and stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    13. Zhang, Yiming & Wang, Guanying, 2020. "Compensation for illiquidity in China: Evidence from an alternative measure," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    14. Baltzer, Markus & Jank, Stephan & Smajlbegovic, Esad, 2019. "Who trades on momentum?," Journal of Financial Markets, Elsevier, vol. 42(C), pages 56-74.
    15. 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.
    16. Liu, Weimin & Luo, Di & Zhao, Huainan, 2016. "Transaction costs, liquidity risk, and the CCAPM," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 126-145.
    17. Aragon, George O. & Kim, Min S., 2023. "Fire sale risk and expected stock returns," Journal of Financial Economics, Elsevier, vol. 149(3), pages 578-609.
    18. Avanidhar Subrahmanyam, 2010. "The Cross†Section of Expected Stock Returns: What Have We Learnt from the Past Twenty†Five Years of Research?," European Financial Management, European Financial Management Association, vol. 16(1), pages 27-42, January.
    19. Chen, Xi & Wang, Junbo & Wu, Chunchi & Wu, Di, 2024. "Extreme illiquidity and cross-sectional corporate bond returns," Journal of Financial Markets, Elsevier, vol. 68(C).
    20. Jun Liu & Kai Wu & Fuwei Jiang & Zhiqi Shen, 2023. "How is illiquidity priced in the Chinese stock market?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1285-1320, April.

    More about this item

    Keywords

    Differentiated product demand systems; asset pricing models; Institutional investors; Portfolio choice; Liquidity;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:fip:fedmsr:510. 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: Kate Hansel (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.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.