Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/2348
Title: Lie symmetry analysis of the Black-Scholes-Merton Model for European options with stochastic volatility
Authors: Paliathanasis, Andronikos 
Krishnakumar, K. 
Tamizhmani, K. M. 
Leach, P. G. L. 
Keywords: Lie point symmetries;Financial Mathematics;Stochastic volatility;Black-Scholes -Merton equation
Issue Date: 3-May-2016
Publisher: MDPI
Source: Paliathanasis. A. 2016. Lie symmetry analysis of the Black-Scholes-Merton Model for European options with stochastic volatility. Mathematics. 4(28): 1-14.
Journal: Mathematics (Basel) 
Abstract: 
We perform a classification of the Lie point symmetries for the Black-Scholes-Merton Model for European options with stochastic volatility, σ, in which the last is defined by a stochastic differential equation with an Orstein-Uhlenbeck term. In this model, the value of the option is given by a linear (1 + 2) evolution partial differential equation in which the price of the option depends upon two independent variables, the value of the underlying asset, S, and a new variable, y. We find that for arbitrary functional form of the volatility, σ(y), the (1 + 2) evolution equation always admits two Lie point symmetries in addition to the automatic linear symmetry and the infinite number of solution symmetries. However, when σ(y) = σ0 and as the price of the option depends upon the second Brownian motion in which the volatility is defined, the (1 + 2) evolution is not reduced to the Black-Scholes-Merton Equation, the model admits five Lie point symmetries in addition to the linear symmetry and the infinite number of solution symmetries. We apply the zeroth-order invariants of the Lie symmetries and we reduce the (1 + 2) evolution equation to a linear second-order ordinary differential equation. Finally, we study two models of special interest, the Heston model and the Stein-Stein model.
URI: http://hdl.handle.net/10321/2348
ISSN: 2227-7390 (print)
Appears in Collections:Research Publications (Applied Sciences)

Files in This Item:
File Description SizeFormat
Paliathanasis_Mathematics_Vol4#2#28_Pgs1-14_2016.pdf830.13 kBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

585
checked on Dec 22, 2024

Download(s)

276
checked on Dec 22, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.