Stochastic Ito-Calculus and Numerical Approximations for Asset Price Forecasting in the Nigerian Stock Market

ISSN Print: 2162-2434
ISSN Online: 2162-2442
www.scirp.org/journal/jmf
E-mail: jmf@scirp.org

"Stochastic Ito-Calculus and Numerical Approximations for Asset Price Forecasting in the Nigerian Stock Market"
written by Thomas Chinwe Urama, Patrick Oseloka Ezepue,
published by Journal of Mathematical Finance, Vol.8 No.4, 2018

has been cited by the following article(s):

[1]	Obtaining Accurate Gold Prices
	Commodities, 2024

[2]	Brownian Motion in Shares of Bank
	… Intelligence to Socio-scientific Analytics and …, 2023

[3]	Existence, uniqueness and stability of solutions to fractional backward stochastic differential equations
	Applied Mathematics in Science and …, 2022

[4]	The reliability of geometric Brownian motion forecasts of S&P500 index values
	2021

[5]	Option pricing using jump diffusion model: a case of stock markets of selected east African countries
	2020

[6]	Deep Learning for Limit Order Book Trading and Mid-Price Movement Prediction
	2020

[7]	Systematic Stock Market Characterisation and Development: Perspectives from Random Matrix Theory, Option Pricing, Genetics, and Global Economics
	2019

[8]	Stochastic Modelling of the Banking Sector of the Nigerian Stock Market
	2019

[9]	Some weak convergence analysis results of the semi-implicit split-step methods for the non-linear stochastic differential equations
	DISSERTATION, 2019

[1]	Obtaining Accurate Gold Prices Commodities, 2024 DOI:10.3390/commodities3010008

[2]	Existence, uniqueness and stability of solutions to fractional backward stochastic differential equations Applied Mathematics in Science and Engineering, 2022 DOI:10.1080/27690911.2022.2142219

[3]	Existence, uniqueness and stability of solutions to fractional backward stochastic differential equations Applied Mathematics in Science and Engineering, 2022 DOI:10.1080/27690911.2022.2142219

[4]	Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications Lecture Notes in Networks and Systems, 2022 DOI:10.1007/978-981-19-5181-7_22

[5]	The reliability of geometric Brownian motion forecasts of S&P500 index values Journal of Forecasting, 2021 DOI:10.1002/for.2775