IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-642-02909-7_7.html
   My bibliography  Save this book chapter

Deterministic Seasonality Effects

In: Pricing of Derivatives on Mean-Reverting Assets

Author

Listed:
  • Björn Lutz

    (Hauck & Aufhäuser Asset)

Abstract

Seasonality in price movements and volatility is an important difference between certain commodity classes and standard financial assets. Especially for agricultural commodities, one observes a repeating cyclical pattern of decreasing prices at the harvesting period and after the harvest and a peak in prices a few months before the harvest. Empirically, one can observe the seasonality in the term structure of futures prices for agricultural goods such as wheat or soybeans. While agricultural and animal products do show a seasonality effect, other groups of commodities such as metals or other raw materials do not.1 Furthermore, electricity futures prices share both a mean reverting and a seasonal property, due to the cyclical behavior of consumption which is mainly driven by the seasonal evolution of temperatures.2 The case of soybeans is investigated by Richter and Sørensen (2002), who model the soybean price process with subordinated stochastic volatility and convenience yield processes. They incorporate seasonality in the convenience yield process. The price process is not mean-reverting and the seasonality effect makes an indirect impact on prices through the convenience yield process and through a seasonal impact of volatility. Richter and Sørensen provide an empirical survey with a parameter estimation based on soybean futures and options on futures prices.

Suggested Citation

  • Björn Lutz, 2010. "Deterministic Seasonality Effects," Lecture Notes in Economics and Mathematical Systems, in: Pricing of Derivatives on Mean-Reverting Assets, chapter 0, pages 115-126, Springer.
  • Handle: RePEc:spr:lnechp:978-3-642-02909-7_7
    DOI: 10.1007/978-3-642-02909-7_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnechp:978-3-642-02909-7_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.