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FUZZY ECONOMIC REVIEW
Article . 2011 . Peer-reviewed
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FUZZY UNCERTAINTY IN THE HESTON STOCHASTIC VOLATILITY MODEL

Authors: Figà Talamanca G.; GUERRA, MARIA LETIZIA; Stefanini L.;

FUZZY UNCERTAINTY IN THE HESTON STOCHASTIC VOLATILITY MODEL

Abstract

Stochastic volatility models for option pricing are suitable to explain many empirical stylized facts in financial markets. Among the other models, Heston provides a good analytical tractability because a quasi closed formula for the price of a European call option can be derived. The estimation of the Heston model parameters is nowadays a subject of on-going research; the aim of this paper is to manage uncertainty about parameters through fuzzy logic preserving the probabilistic structure of the Heston model.

Country
Italy
Keywords

FUZZY NUMBERS; STOCHASTIC VOLATILITY; SENSITIVITY ANALYSIS

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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