Skip to content

Time Series Analysis and Modeling - Forecast future house prices with SARIMA

Notifications You must be signed in to change notification settings

bonniema/House-Price-Prediction-with-Time-Series

Repository files navigation

Time Series Analysis and Modeling - Predicting Best Areas to Invest in Brooklyn, NY

Table of contents

Project Overview

Brooklyn, one of the five boroughs in New York City, is increasingly favored by investors and home buyers because of the relatively lower price (than Manhattan), larger space and the convenience to the city life. It is diverse by many metrics, which keeps so dynamic and interesting.

In this analysis, our goal is to provide you 5 zip codes/neighborhoods that could potentially maximize your Return on Investment in 3 years and 5 years. The analysis was based on data as of Feburary 2020, therefore the result might be changing overtime.

Dataset: past 8 years monthly house price from zillow.com as of Feb, 2020.

Statistical Methods

  • Time Series Modeling with SARIMA

Project Workflow

process

Summary:

Based on our model, here is the ROI table and the top zipcodes with highest growth potential.

ROI

zipcodes

Future Considerations

There might be different metrics to evaluate ROI for rental vs re-sale such as price to rent ratio, monthly avg rental income, tax, etc. Investor’s input (safety, convenience, school district, budget limit) may also be factored in.

A linear model with more additional features such as federal interest rate, house market safety score, etc. is more accurate than pure time series model.

About

Time Series Analysis and Modeling - Forecast future house prices with SARIMA

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published