Results 1 to 10 of about 5,214 (240)

Generalised Geometric Brownian Motion: Theory and Applications to Option Pricing [PDF]

open access: yesEntropy, 2020
Classical option pricing schemes assume that the value of a financial asset follows a geometric Brownian motion (GBM). However, a growing body of studies suggest that a simple GBM trajectory is not an adequate representation for asset dynamics, due to ...
Viktor Stojkoski   +4 more
doaj   +2 more sources

Geometric fractional Brownian motion model for commodity market simulation

open access: goldAlexandria Engineering Journal, 2021
The geometric Brownian motion (GBM) model is a mathematical model that has been used to model asset price paths. By incorporating Hurst parameter to GBM to characterize long-memory phenomenon, the geometric fractional Brownian motion (GFBM) model was ...
Siti Nur Iqmal Ibrahim   +2 more
doaj   +2 more sources

Entropy corrected geometric Brownian motion [PDF]

open access: yesScientific Reports
The geometric Brownian motion (GBM) is widely used for modeling stochastic processes, particularly in finance. However, its solutions are constrained by the assumption that the underlying distribution of returns follows a log-normal distribution.
Rishabh Gupta   +3 more
doaj   +2 more sources

Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios [PDF]

open access: goldMathematics, 2022
The present article proposes a methodology for modeling the evolution of stock market indexes for 2020 using geometric Brownian motion (GBM), but in which drift and diffusion are determined considering two states of economic conjunctures (states of the ...
Vasile Brătian   +3 more
doaj   +2 more sources

PENENTUAN NILAI VALUE at RISK PADA SAHAM IHSG MENGGUNAKAN MODEL GEOMETRIC BROWNIAN MOTION DENGAN LOMPATAN

open access: diamondE-Jurnal Matematika, 2015
The aim of this research was to measure the risk of the IHSG stock data using the Value at Risk (VaR). IHSG stock index data typically indicates a jump. However, Geometric Brownian Motion (GBM) model can not catch any of the jumps.
I GEDE ARYA DUTA PRATAMA   +2 more
doaj   +3 more sources

Langevin equations and a geometric integration scheme for the overdamped limit of rotational Brownian motion of axisymmetric particles

open access: goldPhysical Review Research
The translational motion of anisotropic or self-propelled colloidal particles is closely linked with the particle’s orientation and its rotational Brownian motion.
Felix Höfling, Arthur V. Straube
doaj   +2 more sources

Pricing geometric average Asian options in the mixed sub-fractional Brownian motion environment with Vasicek interest rate model

open access: goldAIMS Mathematics
Considering the characteristics of long-range correlations in financial markets, the issue of valuing geometric average Asian options is examined, assuming that the variations of the underlying asset follow the mixed sub-fractional Brownian motion, and ...
Xinyi Wang, Chunyu Wang
doaj   +2 more sources

Portfolio Optimization for Rupiah Exchange Rate using Multidimensional Geometric Brownian Motion Model

open access: goldJTAM (Jurnal Teori dan Aplikasi Matematika)
Exchange rate fluctuations are critical in ensuring economic stability and shaping foreign investment, while foreign currencies serve as asset and wealth diversification instruments.
Siti Masitah   +2 more
doaj   +2 more sources

Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion

open access: yesMathematics, 2021
In this article, we propose a test of the dynamics of stock market indexes typical of the US and EU capital markets in order to determine which of the two fundamental hypotheses, efficient market hypothesis (EMH) or fractal market hypothesis (FMH), best ...
Vasile Brătian   +4 more
doaj   +1 more source

An Empirical Analysis of Price Jump and Asymmetric Information in Tehran Stock Exchange [PDF]

open access: yesراهبرد مدیریت مالی, 2016
Deep understanding aboutthe impact of news and information on stock market is vital for analyzing and forecasting stock return. For this purpose, stochastic differential equations, such as geometric Brownian motion, geometric Brownian motion with jump ...
Saber Molaei   +2 more
doaj   +1 more source

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