Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01c821gn75f
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Mulvey, John | - |
dc.contributor.author | Tang, Timothy | - |
dc.date.accessioned | 2020-08-11T19:25:39Z | - |
dc.date.available | 2020-08-11T19:25:39Z | - |
dc.date.created | 2020-05-05 | - |
dc.date.issued | 2020-08-11 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01c821gn75f | - |
dc.description.abstract | The 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.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | Deconstructing Airbnb: Pricing, Seasonality, and Optionality in the Sharing Economy | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2020 | en_US |
pu.department | Operations Research and Financial Engineering | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 961236706 | - |
pu.certificate | Center for Statistics and Machine Learning | en_US |
pu.certificate | Finance Program | - |
pu.certificate | Center for Statistics and Machine Learning | en_US |
pu.certificate | Center for Statistics and Machine Learning | en_US |
Appears in Collections: | Operations Research and Financial Engineering, 2000-2019 |
Files in This Item:
File | Description | Size | Format | |
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TANG-TIMOTHY-THESIS.pdf | 1.5 MB | Adobe PDF | Request a copy |
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