Authors

Shelby Brown

Document Type

Article

Publication Date

Spring 2019

Abstract

The housing market is constantly changing. Fluctuating housing prices and a flooded market have home buyers hesitant to commit and sellers on edge. What if the prospective buyer or seller could take this financial step already knowing the state of the market? The purpose of this project is to attempt to predict the next housing bubble. A multivariable regression analysis is conducted using relevant data including variables such as average property prices, number of foreclosures, etc. in the United States beginning in the year 2009. The trends, patterns, and models created from the regression analysis are compared against data models from the housing bubble of 2008. This comparison is used to identify similarities between trends that led to the previous housing bubble. Using the different sets of models, a time-line that predicts the next housing bubble is created.

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