Dynamic Valuation of Weather Derivatives Under Default Risk

SFB 649 Discussion Paper 2017-005

38 Pages Posted: 11 Dec 2017

See all articles by Wolfgang Karl Härdle

Wolfgang Karl Härdle

Blockchain Research Center Humboldt-Universität zu Berlin; Charles University; National Yang Ming Chiao Tung University; Asian Competitiveness Institute

Maria Osipenko

Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE)

Date Written: February 06, 2017

Abstract

Weather derivatives are contingent claims with payoff based on a pre-specified weather index. Firms exposed to weather risk can transfer it to financial markets via weather derivatives. We develop a utility-based model for pricing baskets of weather derivatives in over-the-counter markets under counterparty default risk. In our model, agents maximise the expected utility of their terminal wealth, while they dynamically rebalance their weather portfolios over a finite investment horizon. Via partial market clearing, we obtain semi-closed forms for the equilibrium prices of weather derivatives and for the optimal strategies of the agents. We give an example on how to price rainfall derivatives on selected stations in China in the universe of a financial investor and a weather exposed crop insurer.

Keywords: Derivative Securities, Asset Pricing Models

JEL Classification: C00

Suggested Citation

Härdle, Wolfgang Karl and Osipenko, Maria, Dynamic Valuation of Weather Derivatives Under Default Risk (February 06, 2017). SFB 649 Discussion Paper 2017-005 , Available at SSRN: https://ssrn.com/abstract=3085860 or http://dx.doi.org/10.2139/ssrn.3085860

Wolfgang Karl Härdle (Contact Author)

Blockchain Research Center Humboldt-Universität zu Berlin ( email )

Unter den Linden 6
Berlin, D-10099
Germany

Charles University ( email )

Celetná 13
Dept Math Physics
Praha 1, 116 36
Czech Republic

National Yang Ming Chiao Tung University ( email )

No. 1001, Daxue Rd. East Dist.
Hsinchu City 300093
Taiwan

Asian Competitiveness Institute ( email )

Singapore

Maria Osipenko

Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE) ( email )

Spandauer Strasse 1
Berlin, D-10178
Germany

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