MODELLING UNCERTAIN VOLATILITY USING QUANTUM STOCHASTIC CALCULUS: UNITARY VS NON-UNITARY TIME EVOLUTION

In this article we look at stochastic processes with uncertain parameters, and consider different ways in which information is obtained when carrying out observations. For example we focus on the case of a the random evolution of a traded financial asset price with uncertain volatility. The quantum approach presented, allows us to encode different volatility levels in a state acting on a Hilbert space. We consider different means of defining projective measurements in order to track the evolution of a traded market price, and discuss the results of different Monte-Carlo simulations.

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Publication Details

Journal
Journal of Stochastic Analysis
Published
2024-09-01
DOI
https://doi.org/10.31390/josa.5.3.02
Primary Topic
Stochastic processes and financial applications
Type
article
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article

MODELLING UNCERTAIN VOLATILITY USING QUANTUM STOCHASTIC CALCULUS: UNITARY VS NON-UNITARY TIME EVOLUTION

Will Hicks
Journal of Stochastic Analysis
Stochastic processes and financial applications
article

MODELLING UNCERTAIN VOLATILITY USING QUANTUM STOCHASTIC CALCULUS: UNITARY VS NON-UNITARY TIME EVOLUTION

Will Hicks
article en

Abstract

In this article we look at stochastic processes with uncertain parameters, and consider different ways in which information is obtained when carrying out observations. For example we focus on the case of a the random evolution of a traded financial asset price with uncertain volatility. The quantum approach presented, allows us to encode different volatility levels in a state acting on a Hilbert space. We consider different means of defining projective measurements in order to track the evolution of a traded market price, and discuss the results of different Monte-Carlo simulations.

Journal of Stochastic AnalysisVol. 5(3)
Openalex Percentile: Top 64%
Stochastic processes and financial applications
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