Results 71 to 80 of about 58,908 (171)

Numerický model oceňování evropské kupní opce [PDF]

, 2010
In this paper a mathematical model of European call options prizing is presented. This model is based on reduced Black-Scholes partial differential equation, discretized employing the finite difference method. The results of this model and of the exact
Seinerová, Kateřina
core   +1 more source

Robust Mean–Variance Portfolio Optimization: Mean–Variance–Variance Criterion Versus Mean–Variance–Standard Deviation Criterion

Mathematical Finance, EarlyView.
ABSTRACT We study a dynamic portfolio optimization problem under the mean–variance–variance (M‐V‐V) criterion proposed by Maccheroni et al. It is an analogue of the Arrow–Pratt approximation to the well‐known smooth ambiguity model. Under the standard Black–Scholes framework, we derive fully explicit equilibrium investment strategies in which a DM's ...
David Landriault, Bin Li, Yuanyuan Zhang
wiley   +1 more source

Option Pricing: The empirical tests of the Black-Scholes pricing formula and the feed-forward networks [PDF]

In this article we evaluate the pricing performance of the rather simple but revolutionary Black-Scholes model and one of the more complex techniques (neural networks) on the European-style S&P Index call and put options over the period of 1.6.2006 till ...
Michaela Vlasáková Baruníková
core   +1 more source

Financial rogue waves

, 2010
The financial rogue waves are reported analytically in the nonlinear option pricing model due to Ivancevic, which is nonlinear wave alternative of the Black-Scholes model. These solutions may be used to describe the possible physical mechanisms for rogue
A.J. Frost, A.R. Osborne, A.W. Lo, C. Kharif, G. Lowton, K. Itǒ, L. Draper, L. Stenflo, P. Müller, P. Steven, R.C. Merton, V. Ivancevic, V. Ivancevic, Zhen-Ya Yan   +13 more
core   +1 more source

Improving Implied Volatility Forecasts for American Options Using Neural Networks

Journal of Futures Markets, Volume 46, Issue 6, Page 1137-1153, June 2026.
ABSTRACT This paper explores the application of neural networks to improve pricing of American options. Focusing on both American and European options on the S&P 100 index from January 2016 to August 2023, we integrate neural networks to model the difference between market‐implied and model‐implied volatilities derived from the Black‐Scholes and Heston
Haitong Jiang, Emese Lazar, Miriam Marra
wiley   +1 more source

Using a Mix of Finite Difference Methods and Fractional Differential Transformations to Solve Modified Black–Scholes Fractional Equations

Mathematics
This paper discusses finding solutions to the modified Fractional Black–Scholes equation. As is well known, the options theory is beneficial in the stock market.
Agus Sugandha, Endang Rusyaman, Sukono, Ema Carnia   +3 more
doaj   +1 more source

Quantum effects in an expanded Black-Scholes model. [PDF]

Eur Phys J B, 2022
Bhatnagar A, Vvedensky DD.
europepmc   +1 more source

Quantum extension of European option pricing based on the Ornstein-Uhlenbeck process

, 2005
In this work we propose a option pricing model based on the Ornstein-Uhlenbeck process. It is a new look at the Black-Scholes formula which is based on the quantum game theory. We show the differences between a classical look which is price changing by a
Anna Zambrzycka, Darbyshire, Edward W. Piotrowski, Glimm, Haven, Mantegna, Masoliver, Małgorzata Schroeder, Piotrowski, Piotrowski, Shafer, van Kampen, Zellinger   +12 more
core   +1 more source

Environmental Pollution Liability Insurance Pricing and the Solvency of Insurance Companies in China: Based on the Black-Scholes Model. [PDF]

Int J Environ Res Public Health, 2023
Chen S, Yang J.
europepmc   +1 more source

A Linear Algorithm for Black Scholes Economic Model [PDF]

The pricing of options is a very important problem encountered in financial domain. The famous Black-Scholes model provides explicit closed form solution for the values of certain (European style) call and put options.
Dumitru FANACHE, Ion SMEUREANU
core