IDEAS home Printed from https://ideas.repec.org/a/rsk/journ0/2309291.html
   My bibliography  Save this article

Variance–optimal hedging for discrete-time processes with independent increments: application to electricity markets

Author

Listed:
  • Stephane Goutte, Nadia Oudjane and Francesco Russo

Abstract

ABSTRACT We consider the discretized version of a (continuous-time) two-factor model introduced by Benth and coauthors for the electricity markets. For this model, the underlying is the exponent of a sum of independent random variables.We provide and test an algorithm based on the celebrated Föllmer Schweizer decomposition for solving the mean-variance hedging problem. In particular, we establish that decomposition explicitly, for a large class of vanilla contingent claims. Particular attention is dedicated to the choice of rebalancing dates and its impact on the hedging error, regarding the payoff regularity and the nonstationarity of the log-price process.

Suggested Citation

Handle: RePEc:rsk:journ0:2309291
as

Download full text from publisher

File URL: https://www.risk.net/system/files/import/protected/digital_assets/7322/jcf_russo_web.pdf
Download Restriction: no
---><---

More about this item

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:rsk:journ0:2309291. 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: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-computational-finance .

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.