Arbeitspapier

Meteorological forecasts and the pricing of weather derivatives

In usual pricing approaches for weather derivatives, forward-looking information such as meteorological weather forecasts is not considered. Thus, important knowledge used by market participants is ignored in theory. By extending a standard model for the daily temperature, this paper allows the incorporation of meteorological forecasts in the framework of weather derivative pricing and is able to estimate the information gain compared to a benchmark model without meteorological forecasts. This approach is applied for temperature futures referring to New York, Minneapolis and Cincinnati with forecast data 13 days in advance. Despite this relatively short forecast horizon, the models using meteorological forecasts outperform the classical approach and more accurately forecast the market prices of the temperature futures traded at the Chicago Mercantile Exchange (CME). Moreover, a concentration on the last two months or on days with actual trading improves the results.

Sprache
Englisch

Erschienen in
Series: SFB 649 Discussion Paper ; No. 2010-043

Klassifikation
Wirtschaft
Forecasting Models; Simulation Methods
Contingent Pricing; Futures Pricing; option pricing
Financial Forecasting and Simulation
Economic History: Financial Markets and Institutions: Europe: Pre-1913
Thema
weather forecasting
weather risk
price forecasting
financial markets
temperature futures
CME
Wetter
Prognoseverfahren
Finanzderivat
Elementarschadenversicherung
Optionspreistheorie
Theorie
USA

Ereignis
Geistige Schöpfung
(wer)
Ritter, Matthias
Mußhoff, Oliver
Odening, Martin
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(wo)
Berlin
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ritter, Matthias
  • Mußhoff, Oliver
  • Odening, Martin
  • Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

Entstanden

  • 2010

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