“…The existence results for di erent types of linear Schrödinger equations can be found in book [22]. Stock options pricing models based on linear Schrödinger equations and their relation to Black-Scholes models are reported in many papers [23][24][25][26][27][28][29]. Among others in the author's previous paper [29], the European call option price based on the linear Schrödinger equation has been calculated.…”
This paper deals with numerical option pricing methods based on a Schrödinger model rather than the Black-Scholes model. Nonlinear Schrödinger boundary value problems seem to be alternatives to linear models which better re ect the complexity and behavior of real markets. Therefore, based on the nonlinear Schrödinger option pricing model proposed in the literature, in this paper a model augmented by external atomic potentials is proposed and numerically tested. In terms of statistical physics the developed model describes the option in analogy to a pair of two identical quantum particles occupying the same state. The proposed model is used to price European call options on a stock index. the model is calibrated using the Levenberg-Marquardt algorithm based on market data. A Runge-Kutta method is used to solve the discretized boundary value problem numerically. Numerical results are provided and discussed. It seems that our proposal more accurately models phenomena observed in the real market than do linear models.
“…The existence results for di erent types of linear Schrödinger equations can be found in book [22]. Stock options pricing models based on linear Schrödinger equations and their relation to Black-Scholes models are reported in many papers [23][24][25][26][27][28][29]. Among others in the author's previous paper [29], the European call option price based on the linear Schrödinger equation has been calculated.…”
This paper deals with numerical option pricing methods based on a Schrödinger model rather than the Black-Scholes model. Nonlinear Schrödinger boundary value problems seem to be alternatives to linear models which better re ect the complexity and behavior of real markets. Therefore, based on the nonlinear Schrödinger option pricing model proposed in the literature, in this paper a model augmented by external atomic potentials is proposed and numerically tested. In terms of statistical physics the developed model describes the option in analogy to a pair of two identical quantum particles occupying the same state. The proposed model is used to price European call options on a stock index. the model is calibrated using the Levenberg-Marquardt algorithm based on market data. A Runge-Kutta method is used to solve the discretized boundary value problem numerically. Numerical results are provided and discussed. It seems that our proposal more accurately models phenomena observed in the real market than do linear models.
“…[9][10][11][12][13]. In quantum mechanics (which deals with microscopic objects) h is the Planck constant.…”
Section: Quantum Force Approach To Financial Marketmentioning
confidence: 99%
“…Here we consider a "classical" (time dependent) force f (t, q) = − ∂V (t,q) ∂q and "quantum" force g(t, q) = − ∂U(t,q) ∂q , where U(t, q) is the quantum potential, induced by the Schrödinger dynamics. In Bohmian mechanics for physical systems (9) is considered as an ordinary differential equation and q(t) as the unique solution (corresponding to the initial conditions q(t 0 ) = q 0 , q (t 0 ) = q 0 ) of the class C 2 : q(t) is assumed to be twice differentiable with continuous q (t). In contrast to it, in financial mathematics it is commonly assumed that the price-trajectory is not differentiable [20,22].…”
Section: Problem Of Smoothness Of Price Trajectoriesmentioning
confidence: 99%
“…We remark also that there were performed investigations on the application of quantum methods to the financial market [9][10][11][12]21] that were not directly coupled to behavioral modeling, but based on the general concept that randomness of the financial market can be better described by quantum mechanics.…”
We propose to describe behavioral financial factors (e.g., expectations of traders) by using the pilot wave (Bohmian) model of quantum mechanics. Through comparing properties of trajectories we come to the conclusion that the only possibility to proceed with real financial data is to apply the stochastic version of the pilot wave theory-the model of Bohm-Vigier.
“…Alternatively a modified Ising model to study stochastic resonance and model financial crashes 4 has been used. Stochastic Differential Equations (SDE) have also been exploited in the evaluation of option pricing, [5][6][7] and has been found to be successful in developing a theory of non-Gaussian option pricing which allows for closed form solutions for European options, which are such that can be exercised exclusively on a fixed day of expiration and not before (as in the case of American options), 8,9 their approach uses stochastic processes with statistical feedback 10 as a model for stock prices. Such processes were developed within the Tsallis generalized thermostatistics.…”
In this short note we propose an approach for calculating option prices in financial markets in the framework of path integrals. We review various techniques from engineering and physics applied to the theory of financial risks. We explore how the path integral methods may be used to study financial markets quantitatively and we also suggest a method in calculating transition probabilities for option pricing using real data in that framework.
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