House price volatility metamodel for managing house price volatility knowledge

Also available in printed version

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Lee, Ke Vin
مؤلفون آخرون: Siti Hajar Othman, supervisor
التنسيق: Master's thesis
اللغة:الإنجليزية
منشور في: Universiti Teknologi Malaysia 2025
الموضوعات:
الوصول للمادة أونلاين:https://utmik.utm.my/handle/123456789/57758
Abstract Abstract here
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author Lee, Ke Vin
author2 Siti Hajar Othman, supervisor
author_facet Siti Hajar Othman, supervisor
Lee, Ke Vin
author_sort Lee, Ke Vin
description Also available in printed version
format Master's thesis
id utm-123456789-57758
institution Universiti Teknologi Malaysia
language English
publishDate 2025
publisher Universiti Teknologi Malaysia
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record_pdf Abstract
spelling utm-123456789-577582025-03-17T19:08:27Z House price volatility metamodel for managing house price volatility knowledge Lee, Ke Vin Siti Hajar Othman, supervisor Computing Also available in printed version 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. zulaihi UTM 197 p. Thesis (Sarjana Sains (Sains Komputer - Falsafah)) - Universiti Teknologi Malaysia, 2017 2025-03-17T04:45:44Z 2025-03-17T04:45:44Z 2017 Master's thesis https://utmik.utm.my/handle/123456789/57758 vital:132591 valet-20200308-110110 ENG Closed Access UTM Complete Completion Unpublished application/pdf Universiti Teknologi Malaysia
spellingShingle Computing
Lee, Ke Vin
House price volatility metamodel for managing house price volatility knowledge
thesis_level Master
title 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_short House price volatility metamodel for managing house price volatility knowledge
title_sort house price volatility metamodel for managing house price volatility knowledge
topic Computing
url https://utmik.utm.my/handle/123456789/57758
work_keys_str_mv AT leekevin housepricevolatilitymetamodelformanaginghousepricevolatilityknowledge