Advanced Search
MyIDEAS: Login

Inverse Realized Laplace Transforms for Nonparametric Volatility Estimation in Jump-Diffusions

Contents:

Author Info

  • Viktor Todorov
  • George Tauchen
Registered author(s):

    Abstract

    We develop a nonparametric estimator of the stochastic volatility density of a discretely-observed Ito semimartingale in the setting of an increasing time span and finer mesh of the observation grid. There are two steps. The first is aggregating the high-frequency increments into the realized Laplace transform, which is a robust nonparametric estimate of the underlying volatility Laplace transform. The second step is using a regularized kernel to invert the realized Laplace transform. The two steps are relatively quick and easy to compute, so the nonparametric estimator is practicable. We derive bounds for the mean squared error of the estimator. The regularity conditions are sufficiently general to cover empirically important cases such as level jumps and possible dependencies between volatility moves and either diffusive or jump moves in the semimartingale. Monte Carlo work indicates that the nonparametric estimator is reliable and reasonably accurate in realistic estimation contexts. An empirical application to 5-minute data for three large-cap stocks, 1997-2010, reveals the importance of big short-term volatility spikes in generating high levels of stock price variability over and above that induced by price jumps. The application also shows how to trace out the dynamic response of the volatility density to both positive and negative jumps in the stock price.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1943061
    File Function: main text
    Download Restriction: no

    Bibliographic Info

    Paper provided by Duke University, Department of Economics in its series Working Papers with number 11-21.

    as in new window
    Length: 31
    Date of creation: 2011
    Date of revision:
    Handle: RePEc:duk:dukeec:11-21

    Contact details of provider:
    Postal: Department of Economics Duke University 213 Social Sciences Building Box 90097 Durham, NC 27708-0097
    Phone: (919) 660-1800
    Fax: (919) 684-8974
    Web page: http://econ.duke.edu/

    Related research

    Keywords: Laplace transform; stochastic volatility; ill-posed problems; regularization; nonparametric density estimation; high-frequency data;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:duk:dukeec:11-21. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Department of Economics Webmaster).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.