Adaptive-Wave Alternative for the Black-Scholes Option Pricing Model
Vladimir G. Ivancevic

TL;DR
This paper introduces an adaptive nonlinear wave model based on Schrödinger equations to improve Black-Scholes option pricing, capturing market dynamics and stochastic volatility through quantum-inspired probability amplitudes.
Contribution
It develops a novel adaptive wave framework using nonlinear Schrödinger equations for more accurate and flexible option pricing models compared to traditional methods.
Findings
Adaptive shock-wave solutions align well with Black-Scholes predictions.
The model incorporates stochastic volatility via coupled NLS equations.
Analytical solutions are derived using Jacobi elliptic functions.
Abstract
A nonlinear wave alternative for the standard Black-Scholes option-pricing model is presented. The adaptive-wave model, representing 'controlled Brownian behavior' of financial markets, is formally defined by adaptive nonlinear Schr\"odinger (NLS) equations, defining the option-pricing wave function in terms of the stock price and time. The model includes two parameters: volatility (playing the role of dispersion frequency coefficient), which can be either fixed or stochastic, and adaptive market potential that depends on the interest rate. The wave function represents quantum probability amplitude, whose absolute square is probability density function. Four types of analytical solutions of the NLS equation are provided in terms of Jacobi elliptic functions, all starting from de Broglie's plane-wave packet associated with the free quantum-mechanical particle. The best agreement with the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Probability and Statistical Research · Financial Risk and Volatility Modeling
