Analysis of REITs Listed on SGX (office, industrial)

In this paper, the Gordon Growth Model (GGM) is used with Monte Carlo simulation for analysing office and industrial REITs listed on the Singapore Exchange (SGX). By comparing and providing ranking of the selected REITs expected return of investment, equity cost of capital and future dividend growth...

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Main Author: Chen, Haihong
Other Authors: Wong Jia Yiing, Patricia
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158026
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1580262023-07-07T19:35:55Z Analysis of REITs Listed on SGX (office, industrial) Chen, Haihong Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Engineering::Electrical and electronic engineering In this paper, the Gordon Growth Model (GGM) is used with Monte Carlo simulation for analysing office and industrial REITs listed on the Singapore Exchange (SGX). By comparing and providing ranking of the selected REITs expected return of investment, equity cost of capital and future dividend growth rate to determine whether the REIT in Singapore is good to invest as an investor prospective. Monte Carlo simulation make it possible to incorporate the uncertainty of the components in this analysis where normal distribution, random distribution and lognormal distribution are used in this simulation. The Gordon Growth Model is used to calculate the future dividend growth rate base on the earning per share, cost of capital equity and stock price. The results show that overall ESR-REIT, Pacific Oak US REIT, and ARA LOGOS Logistics trust outperform in the group of 19 REITs listed in SGX based on the models and assumption used in this study. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-27T01:36:50Z 2022-05-27T01:36:50Z 2022 Final Year Project (FYP) Chen, H. (2022). Analysis of REITs Listed on SGX (office, industrial). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158026 https://hdl.handle.net/10356/158026 en P1025-202 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Chen, Haihong
Analysis of REITs Listed on SGX (office, industrial)
description In this paper, the Gordon Growth Model (GGM) is used with Monte Carlo simulation for analysing office and industrial REITs listed on the Singapore Exchange (SGX). By comparing and providing ranking of the selected REITs expected return of investment, equity cost of capital and future dividend growth rate to determine whether the REIT in Singapore is good to invest as an investor prospective. Monte Carlo simulation make it possible to incorporate the uncertainty of the components in this analysis where normal distribution, random distribution and lognormal distribution are used in this simulation. The Gordon Growth Model is used to calculate the future dividend growth rate base on the earning per share, cost of capital equity and stock price. The results show that overall ESR-REIT, Pacific Oak US REIT, and ARA LOGOS Logistics trust outperform in the group of 19 REITs listed in SGX based on the models and assumption used in this study.
author2 Wong Jia Yiing, Patricia
author_facet Wong Jia Yiing, Patricia
Chen, Haihong
format Final Year Project
author Chen, Haihong
author_sort Chen, Haihong
title Analysis of REITs Listed on SGX (office, industrial)
title_short Analysis of REITs Listed on SGX (office, industrial)
title_full Analysis of REITs Listed on SGX (office, industrial)
title_fullStr Analysis of REITs Listed on SGX (office, industrial)
title_full_unstemmed Analysis of REITs Listed on SGX (office, industrial)
title_sort analysis of reits listed on sgx (office, industrial)
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158026
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