Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/25317
Authors: 
Härdle, Wolfgang Karl
López Cabrera, Brenda
Year of Publication: 
2009
Series/Report no.: 
SFB 649 discussion paper 2009,001
Abstract: 
Weather influences our daily lives and choices and has an enormous impact on cooperate revenues and earnings. Weather derivatives differ from most derivatives in that the underlying weather cannot be traded and their market is relatively illiquid. The weather derivative market is therefore incomplete. This paper implements a pricing methodology for weather derivatives that can increase the precision of measuring weather risk. We applied continous autoregressive models (CAR) with seasonal variation to model the temperature in Berlin and with that to get explicite nature of non-arbitrage prices for temperature derivatives. We infer the implied market price from Berlin cumulative monthly temperature futures that are traded at the Chicago Mercantile Exchange (CME), which is an important parameter of the associated equivalent martingale measures used to price and hedge weather future/options in the market. We propose to study the market price of risk, not only as a piecewise constant linear function, but also as a time dependent. In any of the previous cases, we found that the market price of weather risk is different from zero and shows a seasonal structure. With the extract information we price other exotic options, such as cooling/heating degree day temperatures and non standard contract with crazy maturities.
Subjects: 
Weather derivatives
weather risk
weather forecasting
seasonality
continuous autoregressive model
stochastic variance
CAT index
CDD index
HDD index
market price of risk
risk premium
CME
JEL: 
G19
G29
N26
N56
Q29
Q54
Document Type: 
Working Paper

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