Determinants of idiosyncratic risk in Singapore real estate investment trust

Over the years, Singapore REITs (S-REITs) have developed into a popular alternative investment vehicle to real estate and have consistently outperformed other asset classes in Singapore from December 2007 to 2019. In particular, S-REITs in the Retail, Logistics and Diversified sector, which constitu...

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Main Authors: Lim, Wan Sin, Liu, Wendy Wanyi, Hou, De Jin
Other Authors: Wang Wei Siang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/137768
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spelling sg-ntu-dr.10356-1377682020-04-14T04:04:27Z Determinants of idiosyncratic risk in Singapore real estate investment trust Lim, Wan Sin Liu, Wendy Wanyi Hou, De Jin Wang Wei Siang School of Social Sciences wswang@staff.main.ntu.edu.sg Social sciences::Economic development Over the years, Singapore REITs (S-REITs) have developed into a popular alternative investment vehicle to real estate and have consistently outperformed other asset classes in Singapore from December 2007 to 2019. In particular, S-REITs in the Retail, Logistics and Diversified sector, which constitutes the majority of the market capitalization of S-REITs, have displayed unique characteristics and trends. Amidst the rapid rise of e-commerce and the continuous demand for the delivery of goods to consumers, warehouses become increasingly imperative, making the Logistics sector one of the most in-demand asset classes around Asia Pacific Region. As a result, the brick-and-mortar sales growth in the Retail sector hit a rough patch and they merely raised USD$800M in 2019 (Wilson, 2019). The Single-Index Model (Sharpe, 1963) and Panel data regression were exploited to analyze how individual firm-specific factors interact with its idiosyncratic risk from the first quarter of 2006 to third quarter of 2019 in the Retail, Logistics and Diversified sector. The regression results suggest that asset growth and dividend payout are critical and significant factors in influencing their idiosyncratic risks. Acquiring more assets can increase S-REITs’ idiosyncratic risks while issuing higher dividend payout can strategically reduce them. On the contrary, other financial characteristics such as leverage, return on equity and capitalisation are statistically insignificant, though economically imperative in relation to its idiosyncratic risks. The study of Singapore REITs in the Retail, Logistics and Diversified sectors is vital in understanding their characteristics during the new era and how individual financial variables affect their firm-specific risks. It offers fresh insights to the Monetary Authority of Singapore to fine-tune the regulations and nudges REIT managers to leverage on their financial ratios to cope better with their firm-specific risks. Bachelor of Arts in Economics 2020-04-14T04:04:24Z 2020-04-14T04:04:24Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137768 en HE_1AY1920_17 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Social sciences::Economic development
spellingShingle Social sciences::Economic development
Lim, Wan Sin
Liu, Wendy Wanyi
Hou, De Jin
Determinants of idiosyncratic risk in Singapore real estate investment trust
description Over the years, Singapore REITs (S-REITs) have developed into a popular alternative investment vehicle to real estate and have consistently outperformed other asset classes in Singapore from December 2007 to 2019. In particular, S-REITs in the Retail, Logistics and Diversified sector, which constitutes the majority of the market capitalization of S-REITs, have displayed unique characteristics and trends. Amidst the rapid rise of e-commerce and the continuous demand for the delivery of goods to consumers, warehouses become increasingly imperative, making the Logistics sector one of the most in-demand asset classes around Asia Pacific Region. As a result, the brick-and-mortar sales growth in the Retail sector hit a rough patch and they merely raised USD$800M in 2019 (Wilson, 2019). The Single-Index Model (Sharpe, 1963) and Panel data regression were exploited to analyze how individual firm-specific factors interact with its idiosyncratic risk from the first quarter of 2006 to third quarter of 2019 in the Retail, Logistics and Diversified sector. The regression results suggest that asset growth and dividend payout are critical and significant factors in influencing their idiosyncratic risks. Acquiring more assets can increase S-REITs’ idiosyncratic risks while issuing higher dividend payout can strategically reduce them. On the contrary, other financial characteristics such as leverage, return on equity and capitalisation are statistically insignificant, though economically imperative in relation to its idiosyncratic risks. The study of Singapore REITs in the Retail, Logistics and Diversified sectors is vital in understanding their characteristics during the new era and how individual financial variables affect their firm-specific risks. It offers fresh insights to the Monetary Authority of Singapore to fine-tune the regulations and nudges REIT managers to leverage on their financial ratios to cope better with their firm-specific risks.
author2 Wang Wei Siang
author_facet Wang Wei Siang
Lim, Wan Sin
Liu, Wendy Wanyi
Hou, De Jin
format Final Year Project
author Lim, Wan Sin
Liu, Wendy Wanyi
Hou, De Jin
author_sort Lim, Wan Sin
title Determinants of idiosyncratic risk in Singapore real estate investment trust
title_short Determinants of idiosyncratic risk in Singapore real estate investment trust
title_full Determinants of idiosyncratic risk in Singapore real estate investment trust
title_fullStr Determinants of idiosyncratic risk in Singapore real estate investment trust
title_full_unstemmed Determinants of idiosyncratic risk in Singapore real estate investment trust
title_sort determinants of idiosyncratic risk in singapore real estate investment trust
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/137768
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