IDEAS home Printed from https://ideas.repec.org/p/sgo/wpaper/1111.html
   My bibliography  Save this paper

On the Properties of Regression Tests of Asset Return Predictability

Author

Listed:
  • Seongman Moon

    (Universidad Carlos III de Madrid)

  • Carlos Velasco

    (Universidad Carlos III de Madrid)

Abstract

This paper investigates, both in finite samples and asymptotically, statistical inference on predictive regressions where time series are generated by present value models of asset prices. We show that regression-based tests, including robust tests such as robust conditional test and Q-test, are inconsistent and thus suffer from lack of power in local-to-unity models for the regressor persistence. The main reason is that the near-integrated regressor from the present value model slows down the convergence rates of the estimates, an effect which is masked in predictive regressions analysis with exogenous constant covariance of innovations. We illustrate these properties in a simulation study and analyze the predictability of several stock returns series.

Suggested Citation

  • Seongman Moon & Carlos Velasco, 2011. "On the Properties of Regression Tests of Asset Return Predictability," Working Papers 1111, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  • Handle: RePEc:sgo:wpaper:1111
    as

    Download full text from publisher

    File URL: https://tinyurl.com/ylyholwd
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Seongman Moon & Carlos Velasco, 2011. "The Forward Discount Puzzle: Identi cation of Economic Assumptions," Working Papers 1112, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    More about this item

    Keywords

    present value model; predictive regression; local-to-unity assumption; conditional test; Q-test; t-test.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G1 - Financial Economics - - General Financial Markets

    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:sgo:wpaper:1111. 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: Jung Hur (email available below). General contact details of provider: https://edirc.repec.org/data/risogkr.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.