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Robust portfolio selection problem under temperature uncertainty. (English) Zbl 1395.91445
Summary: In this paper, we consider a portfolio selection problem under temperature uncertainty. Weather derivatives based on different temperature indices are used to protect against undesirable temperature events. We introduce stochastic and robust portfolio optimization models using weather derivatives. The investors’ different risk preferences are incorporated into the portfolio allocation problem. The robust investment decisions are derived in view of discrete and continuous sets that the underlying uncertain data in temperature model belong. We illustrate main features of the robust approach and performance of the portfolio optimization models using real market data. In particular, we analyze impact of various model parameters on different robust investment decisions.

91G20 Derivative securities (option pricing, hedging, etc.)
91G10 Portfolio theory
90C31 Sensitivity, stability, parametric optimization
86A32 Geostatistics
Full Text: DOI
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