PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation
The Accardi–Boukas quantum Black–Scholes framework, provides a means by which one can apply the Hudson–Parthasarathy quantum stochastic calculus to problems in finance. Solutions to these equations can be modelled using nonlocal diffusion processes, via a Kramers–Moyal expansion, and this provides u...
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doaj-0d5e7556144543b2915a2d99f45fa4ca2020-11-24T21:06:00ZengMDPI AGEntropy1099-43002019-01-0121210510.3390/e21020105e21020105PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes EquationWill Hicks0Investec Bank PLC, 30 Gresham Street, London EC2V 7QP, UKThe Accardi–Boukas quantum Black–Scholes framework, provides a means by which one can apply the Hudson–Parthasarathy quantum stochastic calculus to problems in finance. Solutions to these equations can be modelled using nonlocal diffusion processes, via a Kramers–Moyal expansion, and this provides useful tools to understand their behaviour. In this paper we develop further links between quantum stochastic processes, and nonlocal diffusions, by inverting the question, and showing how certain nonlocal diffusions can be written as quantum stochastic processes. We then go on to show how one can use path integral formalism, and <inline-formula> <math display="inline"> <semantics> <mi mathvariant="script">PT</mi> </semantics> </math> </inline-formula> symmetric quantum mechanics, to build a non-Gaussian kernel function for the Accardi–Boukas quantum Black–Scholes. Behaviours observed in the real market are a natural model output, rather than something that must be deliberately included.https://www.mdpi.com/1099-4300/21/2/105quantum Black–Scholesnon-Gaussian kernelsquantum stochastic calculusPT symmetric quantum mechanics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Will Hicks |
spellingShingle |
Will Hicks PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation Entropy quantum Black–Scholes non-Gaussian kernels quantum stochastic calculus PT symmetric quantum mechanics |
author_facet |
Will Hicks |
author_sort |
Will Hicks |
title |
PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation |
title_short |
PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation |
title_full |
PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation |
title_fullStr |
PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation |
title_full_unstemmed |
PT Symmetry, Non-Gaussian Path Integrals, and the Quantum Black–Scholes Equation |
title_sort |
pt symmetry, non-gaussian path integrals, and the quantum black–scholes equation |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2019-01-01 |
description |
The Accardi–Boukas quantum Black–Scholes framework, provides a means by which one can apply the Hudson–Parthasarathy quantum stochastic calculus to problems in finance. Solutions to these equations can be modelled using nonlocal diffusion processes, via a Kramers–Moyal expansion, and this provides useful tools to understand their behaviour. In this paper we develop further links between quantum stochastic processes, and nonlocal diffusions, by inverting the question, and showing how certain nonlocal diffusions can be written as quantum stochastic processes. We then go on to show how one can use path integral formalism, and <inline-formula> <math display="inline"> <semantics> <mi mathvariant="script">PT</mi> </semantics> </math> </inline-formula> symmetric quantum mechanics, to build a non-Gaussian kernel function for the Accardi–Boukas quantum Black–Scholes. Behaviours observed in the real market are a natural model output, rather than something that must be deliberately included. |
topic |
quantum Black–Scholes non-Gaussian kernels quantum stochastic calculus PT symmetric quantum mechanics |
url |
https://www.mdpi.com/1099-4300/21/2/105 |
work_keys_str_mv |
AT willhicks ptsymmetrynongaussianpathintegralsandthequantumblackscholesequation |
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1716767052291637248 |