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.

Language
Englisch

Bibliographic citation
Series: SFB 649 Discussion Paper ; No. 2010-043

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

Event
Geistige Schöpfung
(who)
Ritter, Matthias
Mußhoff, Oliver
Odening, Martin
Event
Veröffentlichung
(who)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(where)
Berlin
(when)
2010

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

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

Time of origin

  • 2010

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