[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/cte/wsrepe/30332.html
   My bibliography  Save this paper

Quantile Consumption-Capital Asset Pricing

Author

Abstract
The Consumption-Capital Asset Pricing Model is a statement about the mean of asset returns anddoes not provide any information on the returns' quantiles. Using quantile maximization decisiontheory, this paper considers a quantile-based Euler equation that states that the asset price is afunction of the quantiles of the payoff, consumption growth, stochastic discount factor and riskaversion. Assuming that the consumption growth rate is log-elliptically distributed, we show thatreturns' quantiles are non-monotone functions of the consumption growth volatility. Using data fromthe United States and United Kingdom, empirical evidence validates our theoretical results and showsthat this volatility is a driving factor of the returns' distribution.

Suggested Citation

  • Ramos, Sofía B., 2020. "Quantile Consumption-Capital Asset Pricing," DES - Working Papers. Statistics and Econometrics. WS 30332, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:wsrepe:30332
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/b12bbb8c-9610-4b91-a1b6-2ebea3f47ecc/content
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Quantile Utility Function;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:cte:wsrepe:30332. 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: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    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.