DISCRETE-TIME VARIANCE-OPTIMAL HEDGING IN AFFINE STOCHASTIC VOLATILITY MODELS
Jan Kallsen,
Johannes Muhle-Karbe,
Natalia Shenkman and
Richard Vierthauer
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Jan Kallsen: Mathematisches Seminar, Christian-Albrechts-Universität zu Kiel, Christian-Albrechts Platz 4, 24098 Kiel, Germany
Johannes Muhle-Karbe: Fakultät für Mathematik, Universität Wien, Austria Nordbergstr. 15, 1090 Wien, Austria
Natalia Shenkman: Lehrstuhl für Energiehandel und Finanzdienstleistungen, Universität Duisburg-Essen, Universitätsstraße 12, 45141 Essen, Germany
Richard Vierthauer: Mathematisches Seminar, Christian-Albrechts-Universität zu Kiel, Christian-Albrechts Platz 4, 24098 Kiel, Germany
Chapter 15 in Alternative Investments and Strategies, 2010, pp 375-393 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
AbstractWe consider variance-optimal hedging when trading is restricted to a finite time set. Using Laplace transform methods, we derive semi-explicit formulas for the variance-optimal initial capital and hedging strategy in affine stochastic volatility models. For the corresponding minimal expected-squared hedging error, we propose a closed-form approximation as well as a simulation approach. The results are illustrated by computing the relevant quantities in a time-changed Lévy model.
Keywords: Alternative Investments; Portfolio Selection; Trading Strategy; Product Innovations; CPPI; Portfolio Optimization; Portfolio Insurance (search for similar items in EconPapers)
Date: 2010
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