Results 1 to 10 of about 63,195 (264)

Modeling Financial Markets Using Combined Ornstein-uhlenbeck Process with Levy Noise [PDF]

open access: yesتحقیقات مالی, 2021
Objective: The main purpose of this paper is to investigate a developed stochastic algorithm for modeling financial markets using the Ornstein-uhlenbeck process combined with Levy noise. Using the closing prices of stock markets, it can be concluded that
Mina Mohammadi, Parisa Nabati
doaj   +1 more source

Modelling of Fuel- and Energy-Switching Prices by Mean-Reverting Processes and Their Applications to Alberta Energy Markets

open access: yesMathematics, 2021
This paper introduces a fuel-switching price to the Alberta market, which is designed for encouraging power plant companies to switch from coal to natural gas when they produce electricity; this has been successfully applied to the European market ...
Weiliang Lu   +3 more
doaj   +1 more source

Kajian Integral Lintasan Levy dalam Mekanika Kuantum Fraksional untuk Membentuk Persamaan Schrodinger Fraksional

open access: yesRisenologi, 2020
The implementation of Lévy path integral generated by Lévy stochastic process on fractional Schrödinger equation has been investigated in the framework of fractional quantum mechanics.
Chandra Halim, M. Farchani Rosyid
doaj   +1 more source

PERSAMAAN DIFERENSIAL ORNSTEIN-UHLENBECK DALAM PERAMALAN HARGA SAHAM

open access: yesMedia Statistika, 2020
Geometric Brownian motion is one of the most widely used stock price model. One of the assumptions that is filled with stock return volatility is constant. Gamma Ornstein-Uhlenbeck process a model to describe volatility in finance.
Amam Taufiq Hidayat, Subanar Subanar
doaj   +1 more source

Extension of Short Rate Model Under a Lévy Process

open access: yesFountain Journal of Natural and Applied Sciences (FUJNAS), 2023
A lot of abnormalities occur in real-life scenarios, thus leading to some difficulties in modelling such scenarios without a deeper understanding of certain aspects of Lévy processes.
Dr A. M. Udoye
doaj   +3 more sources

Logarithmic Lévy process directed by Poisson subordinator

open access: yesModern Stochastics: Theory and Applications, 2019
Let $\{L(t),t\ge 0\}$ be a Lévy process with representative random variable $L(1)$ defined by the infinitely divisible logarithmic series distribution. We study here the transition probability and Lévy measure of this process.
Penka Mayster, Assen Tchorbadjieff
doaj   +1 more source

Operators of stochastic differentiation on spaces of nonregular generalized functions of Levy white noise analysis

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2016
The operators of stochastic differentiation, which are closely related with the extended Skorohod stochastic integral and with the Hida stochastic derivative, play an important role in the classical (Gaussian) white noise analysis.
N.A. Kachanovsky
doaj   +1 more source

Pricing American Options by a Fourier Transform Multinomial Tree in a Conic Market

open access: yesDiscrete Dynamics in Nature and Society, 2022
Based on FFT, a high-order multinomial tree is constructed, and the method to obtain the price of American style options in the Lévy conic market is studied.
Weiwei Wang, Xiaoping Hu
doaj   +1 more source

Wick calculus on spaces of regular generalized functions of Levy white noise analysis

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2018
Many objects of the Gaussian white noise analysis (spaces of test and generalized functions, stochastic integrals and derivatives, etc.) can be constructed and studied in terms of so-called chaotic decompositions, based on a chaotic representation ...
M.M. Frei
doaj   +1 more source

A modified Φ-Sobolev inequality for canonical Lévy processes and its applications

open access: yesModern Stochastics: Theory and Applications, 2023
A new modified Φ-Sobolev inequality for canonical ${L^{2}}$-Lévy processes, which are hybrid cases of the Brownian motion and pure jump-Lévy processes, is developed.
Noriyoshi Sakuma, Ryoichi Suzuki
doaj   +1 more source

Home - About - Disclaimer - Privacy