Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model

This paper makes a comparison between the two forecasting methods on the condominiums in Singapore. One is the traditional method of economic modelling whereas the other is a new state of the art involving neural networks. This study attempts to develop both the neural network model and traditional...

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Main Authors:	Na, Hui Miang, Lee, Janice Lu Peng
Other Authors:	Li, Michael Zhi-Feng
Format:	Final Year Project
Published:	2008
Subjects:	DRNTU::Social sciences::Economic theory
Online Access:	http://hdl.handle.net/10356/10799
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-10799
record_format	dspace
spelling	sg-ntu-dr.10356-107992023-05-19T05:41:41Z Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model Na, Hui Miang Lee, Janice Lu Peng Li, Michael Zhi-Feng Nanyang Business School DRNTU::Social sciences::Economic theory This paper makes a comparison between the two forecasting methods on the condominiums in Singapore. One is the traditional method of economic modelling whereas the other is a new state of the art involving neural networks. This study attempts to develop both the neural network model and traditional econometric model for predicting the price of private residential property based on the transaction prices of condominiums for the past years as well as other qualitative and quantitative factors. 2008-09-24T07:47:41Z 2008-09-24T07:47:41Z 1999 1999 Final Year Project (FYP) http://hdl.handle.net/10356/10799 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Social sciences::Economic theory
spellingShingle	DRNTU::Social sciences::Economic theory Na, Hui Miang Lee, Janice Lu Peng Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
description	This paper makes a comparison between the two forecasting methods on the condominiums in Singapore. One is the traditional method of economic modelling whereas the other is a new state of the art involving neural networks. This study attempts to develop both the neural network model and traditional econometric model for predicting the price of private residential property based on the transaction prices of condominiums for the past years as well as other qualitative and quantitative factors.
author2	Li, Michael Zhi-Feng
author_facet	Li, Michael Zhi-Feng Na, Hui Miang Lee, Janice Lu Peng
format	Final Year Project
author	Na, Hui Miang Lee, Janice Lu Peng
author_sort	Na, Hui Miang
title	Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
title_short	Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
title_full	Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
title_fullStr	Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
title_full_unstemmed	Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model
title_sort	forecasting the private residential property in singapore: a comparative study between the traditional econometric model & neural network model
publishDate	2008
url	http://hdl.handle.net/10356/10799
_version_	1770566629253447680

Forecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network model

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