IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24972.html
   My bibliography  Save this paper

Asset Pricing with Endogenously Uninsurable Tail Risk

Author

Listed:
  • Hengjie Ai
  • Anmol Bhandari

Abstract

This paper studies asset pricing and labor market dynamics in a setting in which idiosyncratic risk in human capital is not fully insurable. Firms use long-term contracts to provide insurance to workers, but neither side can fully commit; furthermore, owing to costly and unobservable retention effort, worker-firm relationships have endogenous durations. Uninsured tail risk in labor earnings arises as a part of an optimal risk-sharing scheme. In equilibrium, exposure to the tail risk generates higher aggregate risk premia and higher return volatility. Consistent with data, firm-level labor share predicts both future returns and pass-throughs of firm-level shocks to labor compensation.

Suggested Citation

  • Hengjie Ai & Anmol Bhandari, 2018. "Asset Pricing with Endogenously Uninsurable Tail Risk," NBER Working Papers 24972, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24972
    Note: AP EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24972.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Winston Wei Dou & Yan Ji & David Reibstein & Wei Wu, 2021. "Inalienable Customer Capital, Corporate Liquidity, and Stock Returns," Journal of Finance, American Finance Association, vol. 76(1), pages 211-265, February.
    2. Hengjie Ai & Dana Kiku & Rui Li & Jincheng Tong, 2021. "A Unified Model of Firm Dynamics with Limited Commitment and Assortative Matching," Journal of Finance, American Finance Association, vol. 76(1), pages 317-356, February.
    3. Indrajit Mitra & Yu Xu, 2020. "Limited Household Risk Sharing: General Equilibrium Implications for the Term Structure of Interest Rates," FRB Atlanta Working Paper 2020-20, Federal Reserve Bank of Atlanta.

    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

    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:nbr:nberwo:24972. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.