Hamiltonian and Potentials in Derivative Pricing Models: Exact Results and Lattice Simulations
arXiv:cond-mat/0211489 · doi:10.1016/j.physa.2003.10.080
Abstract
The pricing of options, warrants and other derivative securities is one of the great success of financial economics. These financial products can be modeled and simulated using quantum mechanical instruments based on a Hamiltonian formulation. We show here some applications of these methods for various potentials, which we have simulated via lattice Langevin and Monte Carlo algorithms, to the pricing of options. We focus on barrier or path dependent options, showing in some detail the computational strategies involved.
arXiv comment27 pages, 11 figures 1 subsection added (4.1). Slightly longer appendix
References in corpus (2)
Cited by in corpus (8)
- Does Security Transaction Volume-Price Behavior Resemble a Probability Wave?
- Pseudo Hermitian formulation of Black-Scholes equation
- The probability flow in the Stock market and Spontaneous symmetry breaking in Quantum Finance
- The Kinetic Interpretation of the DGLAP Equation, its Kramers-Moyal Expansion and Positivity of Helicity Distributions
- Path Integral and Asian Options
- Predicting the Stock Price of Frontier Markets Using Modified Black-Scholes Option Pricing Model and Machine Learning
- A Hamiltonian Approach to Floating Barrier Option Pricing
- Information content of financial markets: a practical approach based on Bohmian quantum mechanics