Presentation
Investigation of Florida Housing Prices using Predictive Time Series Model
SessionPoster Session
Event Type
Posters
Receptions
Student Posters
VisDataAnalytics
Applications
Student Program
Facilitation
Workforce
TimeTuesday, July 246:30pm - 8:30pm
LocationKings Garden 3-4-5
DescriptionIn the ever-changing real estate market, there are certain factors that have a huge impact on the fluctuating of house prices, and there are relationships between those factors. The only way to understand the behavior of the changes would be to explore historical data of those factors that impact the housing prices most. A lot of research papers have been done over the years to predict the trends of house prices, in various countries, using various statistical models, and machine learning methods. Florida housing prices not only depend on various economics indexes but also impact by other natural disasters factors such as hurricane etc. which will be considered in future research. This project will involve the study of the housing market in Florida, we will be considering various factors such as the number of sales, employment rate, interest rate, GDP, inflation rate, hurricane strikes etc. Data from 1985 to 2016 will be used for our analysis and the time series is adopted. The prediction of this model is promising.