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Reseach Article

Market-based Stock Pricing Model

Published on April 2018 by Alex Tham, William Lau
International Conference on Recent Developments in Science, Technology, Humanities and Management
Foundation of Computer Science USA
ICRDSTHM2017 - Number 2
April 2018
Authors: Alex Tham, William Lau
1c018ca1-5078-4dd8-af65-a4277f2f7e16

Alex Tham, William Lau . Market-based Stock Pricing Model. International Conference on Recent Developments in Science, Technology, Humanities and Management. ICRDSTHM2017, 2 (April 2018), 41-44.

@article{
author = { Alex Tham, William Lau },
title = { Market-based Stock Pricing Model },
journal = { International Conference on Recent Developments in Science, Technology, Humanities and Management },
issue_date = { April 2018 },
volume = { ICRDSTHM2017 },
number = { 2 },
month = { April },
year = { 2018 },
issn = 0975-8887,
pages = { 41-44 },
numpages = 4,
url = { /proceedings/icrdsthm2017/number2/29320-7026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Developments in Science, Technology, Humanities and Management
%A Alex Tham
%A William Lau
%T Market-based Stock Pricing Model
%J International Conference on Recent Developments in Science, Technology, Humanities and Management
%@ 0975-8887
%V ICRDSTHM2017
%N 2
%P 41-44
%D 2018
%I International Journal of Computer Applications
Abstract

This paper has searched for an appropriate regression model to compare and predict the stock prices of three petroleum-related business enterprise listed in Hong Kong Stock Exchange Market but based in China, which are Sinopec Corp. (386), PetroChina Company Limited (857), CNOOC Limited (883). By figuring out the relevant independent factors such as Hang Seng Index, H-Share Index, etc. , this paper formed a relevant regression model to evaluate the current price and to forecast the future price of these stocks.

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Index Terms

Computer Science
Information Sciences

Keywords

Ddm Crude Oil Reliability Statistical Tests.