New candidates for arbitrage-free stock price models via generalized conditional symmetry method

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摘要

In this paper a new perspective upon generating arbitrage-free stock price models is proposed. The generalized conditional symmetry (GCS) method is applied to the governing second order (1+1) partial differential equation which does contain a rational parameter p drawn from the interval [12,1]. We investigate the conditions that yield the concerned equation admitting a special class of second-order GCSs. The determining system is solved in several special cases and, from invariance surface condition associated to each of the GCS operator, for all values of p, some invariant solutions are pointed out. New candidate models for arbitrage-free stock price are derived.

论文关键词:Generalized conditional symmetries,Symbolic computation,Stock price model,Arbitrage-free model,Invariant solutions

论文评审过程:Received 9 April 2017, Revised 3 January 2018, Accepted 29 March 2018, Available online 24 April 2018, Version of Record 24 April 2018.

论文官网地址:https://doi.org/10.1016/j.amc.2018.03.115