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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01c821gn75f
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dc.contributor.advisorMulvey, John-
dc.contributor.authorTang, Timothy-
dc.date.accessioned2020-08-11T19:25:39Z-
dc.date.available2020-08-11T19:25:39Z-
dc.date.created2020-05-05-
dc.date.issued2020-08-11-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01c821gn75f-
dc.description.abstractThe rapid growth of Airbnb, a virtual platform that allows users to quickly and efficiently rent and lease property, has caused significant disruption in the hospitality and real estate markets. Blurring the lines between hotel, rental, and residential properties, its short-term nature, accessibility, and versatility make it a promising resource for information-gathering and potential investment. We examine the relationship between Airbnb and broader economic factors by creating a regime-based market model through conventional economic metrics. We then use Monte Carlo simulation to evaluate pricing and listing strategies for a potential Airbnb property.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.titleDeconstructing Airbnb: Pricing, Seasonality, and Optionality in the Sharing Economyen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2020en_US
pu.departmentOperations Research and Financial Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid961236706-
pu.certificateCenter for Statistics and Machine Learningen_US
pu.certificateFinance Program-
pu.certificateCenter for Statistics and Machine Learningen_US
pu.certificateCenter for Statistics and Machine Learningen_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2019

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