Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/56622 
Year of Publication: 
2010
Series/Report no.: 
SFB 649 Discussion Paper No. 2010-043
Publisher: 
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk, Berlin
Abstract: 
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.
Subjects: 
weather forecasting
weather risk
price forecasting
financial markets
temperature futures
CME
JEL: 
C53
G13
G17
N23
Document Type: 
Working Paper

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