House price volatility metamodel for managing house price volatility knowledge

A change in house price is a situation that is very dynamic and unpredictable. The study found that changes in house price volatility are more dynamic than the changes in the price of goods or household income. Demographic changes, market forces and the rise of speculation are among the factors that...

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Main Author:	Abdullah, Aishah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/85748/1/AishahAbdullahMFC2017.pdf
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spelling	my-utm-ep.857482020-07-30T07:30:41Z House price volatility metamodel for managing house price volatility knowledge 2017 Abdullah, Aishah QA75 Electronic computers. Computer science A change in house price is a situation that is very dynamic and unpredictable. The study found that changes in house price volatility are more dynamic than the changes in the price of goods or household income. Demographic changes, market forces and the rise of speculation are among the factors that influence the volatility in house prices. Through this research all the determining factors associated with changes in house price volatility were identified because the changes on the determinant factors have an impact on the pattern of the house price market. For the purposes of showing a comprehensive relationship between the determinants of house price with house price volatility, the methods in modelling the concept in software engineering known as metamodelling has been adapted. Through metamodelling, an artifact known as 'metamodel' is produced. Specifically for this study, the metamodel is known as House Price Volatility Metamodel (HPVM). By combining qualitative and quantitative methods, the development of HPVM implemented using 8 Step Metamodelling Creation process, where HPVM is capable of modeling the determinant factors that determine the volatility in house prices in three major categories: i) Socio-Economic view, ii) Economic view and iii) HPV Significant Value view. Three types of validation technique, Expert Review (Face to Face Validation), Frequency-Base Selection and Tracing (Case Study) in three states in Malaysia, namely Penang, Johor and Kuala Lumpur have been used to assess the effectiveness of the metamodel. Metamodel development is believed to be beneficial to various stakeholders in the domain of property market such as the government like from Ministry of Finance, real estate investors, economists, buyers and real estate practitioners where they are able to get a variety of views and considerations in assessing house price market and house price volatility. These considerations are very important in evaluating the real estate market, as it will be an input in decisionmaking basis for this field. 2017 Thesis http://eprints.utm.my/id/eprint/85748/ http://eprints.utm.my/id/eprint/85748/1/AishahAbdullahMFC2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132591 masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Abdullah, Aishah House price volatility metamodel for managing house price volatility knowledge
description	A change in house price is a situation that is very dynamic and unpredictable. The study found that changes in house price volatility are more dynamic than the changes in the price of goods or household income. Demographic changes, market forces and the rise of speculation are among the factors that influence the volatility in house prices. Through this research all the determining factors associated with changes in house price volatility were identified because the changes on the determinant factors have an impact on the pattern of the house price market. For the purposes of showing a comprehensive relationship between the determinants of house price with house price volatility, the methods in modelling the concept in software engineering known as metamodelling has been adapted. Through metamodelling, an artifact known as 'metamodel' is produced. Specifically for this study, the metamodel is known as House Price Volatility Metamodel (HPVM). By combining qualitative and quantitative methods, the development of HPVM implemented using 8 Step Metamodelling Creation process, where HPVM is capable of modeling the determinant factors that determine the volatility in house prices in three major categories: i) Socio-Economic view, ii) Economic view and iii) HPV Significant Value view. Three types of validation technique, Expert Review (Face to Face Validation), Frequency-Base Selection and Tracing (Case Study) in three states in Malaysia, namely Penang, Johor and Kuala Lumpur have been used to assess the effectiveness of the metamodel. Metamodel development is believed to be beneficial to various stakeholders in the domain of property market such as the government like from Ministry of Finance, real estate investors, economists, buyers and real estate practitioners where they are able to get a variety of views and considerations in assessing house price market and house price volatility. These considerations are very important in evaluating the real estate market, as it will be an input in decisionmaking basis for this field.
format	Thesis
qualification_level	Master's degree
author	Abdullah, Aishah
author_facet	Abdullah, Aishah
author_sort	Abdullah, Aishah
title	House price volatility metamodel for managing house price volatility knowledge
title_short	House price volatility metamodel for managing house price volatility knowledge
title_full	House price volatility metamodel for managing house price volatility knowledge
title_fullStr	House price volatility metamodel for managing house price volatility knowledge
title_full_unstemmed	House price volatility metamodel for managing house price volatility knowledge
title_sort	house price volatility metamodel for managing house price volatility knowledge
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2017
url	http://eprints.utm.my/id/eprint/85748/1/AishahAbdullahMFC2017.pdf
_version_	1747818448135651328

House price volatility metamodel for managing house price volatility knowledge

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