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Equilibrium trading of climate and weather risk and numerical simulation in a Markovian framework

Please always quote using this URN:urn:nbn:de:0296-matheon-468
  • We consider financial markets with agents exposed to external sources of risk caused for example by short term climate events such as the South Pacific sea surface temperature anomalies widely known under the name El Nino. Since such risks cannot be hedged through investments on the capital market alone, we face a typical example of an incomplete financial market. In order to make this risk tradable, we use a financial market model in which an additional insurance asset provides another possibility of investment besides the usual capital market. Given one of many possible market prices of risk each agent can maximize his individual exponential utility from his income obtained from trading in the capital market, the additional security, and his risk exposure function. Under the equilibrium market clearing condition for the insurance security the market price of risk is uniquely determined by a backward stochastic differential equation. We translate these stochastic equations via the Feynman-Kac formalism into semi-linear parabolic partial differential equations. Numerical schemes are available by which these semilinear pde can be simulated. We choose two simple qualitatively interesting models to describe sea surface temperature, and with an ENSO risk exposed fisher and farmer and a climate risk neutral bank three model agents with simple risk exposure functions. By simulating the expected appreciation price of risk trading, the optimal utility of the agents as a function of temperature, and their optimal investment into the risk trading security we obtain first insight into the dynamics of such a market in simple situations.

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Metadaten
Author:Sébastian Chaumont, Peter Imkeller, Matthias Müller
URN:urn:nbn:de:0296-matheon-468
Referee:Hans Föllmer
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2004/02/13
Release Date:2004/01/15
Institute:Humboldt-Universität zu Berlin
Preprint Number:73
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