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dc.contributor.advisor.en_US
dc.contributor.authorChavada, Mehul (Mehul Meghji)en_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.date.accessioned2016-06-22T17:48:28Z
dc.date.available2016-06-22T17:48:28Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/103218
dc.descriptionThesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 33-34).en_US
dc.description.abstractThe ability of Commercial Real Estate to provide strong current income returns has long been one of its benefits of inclusion into a long-term portfolio. Capital Expenditures can significantly hamper this income return of commercial properties and mislead the investors into making misguided decisions. However, there has long been an informational vacuum about capital expenditure and the current available literature can best be described as non-existent. This thesis focuses entirely on capital expenditure to understand the future implications of Capital Expenditure Spending, and to understand the co-relation between different property characteristics and capital expenditure. The thesis uses contingency tables to understand the behavior of commercial properties over a span of nine years. The goal was to understand if capital expenditure spends have an impact on future spends. If an investor invests high (low) capital expenditure in the present do they keep spending high (low) all throughout their hold periods or their spending changes over time. Secondly, regression analyses is used to better understand the relationship between different property characteristics and capital expenditures and this exercise helps build an intuition about capital expenditure spends. The contingency tables and regression analyses revealed distinguishing trends about capital expenditure and helped understand its behavior. It was revealed that investors currently spending high on capital expenditures are not necessarily successful in saving capital expenditure spends in the future. The regression analyses defined a positive correlation for capital expenditure with respect to age, sq. ft, NOI and market value and it defined a negative co-relation with respect to cap rate and location considering the property was located in the top six markets in the country.en_US
dc.description.statementofresponsibilityby Mehul Chavada.en_US
dc.format.extent34 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCenter for Real Estate. Program in Real Estate Development.en_US
dc.titleAnalyzing capital expenditure in commercial real estate assetsen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate
dc.identifier.oclc951533693en_US


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