Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/219677
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dc.titleINFLATION-HEDGING ABILITIES OF SINGAPORE �S PRIVATE RESIDENTIAL PROPERTY
dc.contributor.authorYEAM WEE LEONG
dc.date.accessioned2015-06-03T03:17:56Z
dc.date.accessioned2022-04-22T15:39:34Z
dc.date.available2019-09-26T14:13:51Z
dc.date.available2022-04-22T15:39:34Z
dc.date.issued2015-06-03
dc.identifier.citationYEAM WEE LEONG (2015-06-03). INFLATION-HEDGING ABILITIES OF SINGAPORE �S PRIVATE RESIDENTIAL PROPERTY. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/219677
dc.description.abstractThis paper examines the inflation hedging abilities of Singapore’s private residential property. Until now, little has been done to further explore the inflation hedging of different property sub-type under residential property besides property overall being a good hedge against inflation when compared to other asset classes. Through the study, we will look at the appreciation component of property returns without including the rental component due to limited data. Another reason is that the research is for buyers who purchase properties either for own stay or investment and there may be no guarantee that the property may be leased out during the entire holding period. Hence, to provide an accurate study on inflation hedging abilities of residential property sub-type, only the price index is looked at. Ordinary least square regression analysis is used as suggested by Fama and Schwert (1977). The returns of each residential sub-type are analyzed against actual, expected and unexpected inflation. The study also looks into the effect of the cooling measures on residential property returns from fourth quarter of 2009 that were implemented by the Singapore Government to curb property speculation. The results showed that private residential properties are able to significantly hedge against inflation over the period. However, the results were inconclusive during the period of cooling measures. Most of the results also had low R-square which indicates that property returns might be driven by other factors such as interest rates and business cycles rather than inflation alone.
dc.language.isoen
dc.sourcehttps://lib.sde.nus.edu.sg/dspace/handle/sde/3038
dc.subjectReal Estate
dc.subjectChin Kein Hoong Lawrence
dc.subject2014/2015 RE
dc.subjectInflation hedging
dc.subjectProperty type
dc.subjectResidential property
dc.subjectSingapore
dc.subjectInflation
dc.subjectRE
dc.typeDissertation
dc.contributor.departmentREAL ESTATE
dc.contributor.supervisorCHIN KEIN HOONG LAWRENCE
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (REAL ESTATE)
dc.embargo.terms2015-06-05
Appears in Collections:Bachelor's Theses

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