Significant Social Factors of Real Estate Investment

Real estate investment has gained a lot of interest from past several years due to its ability to provide good long term profit returns. It is considered to be safer than the other investment options like bonds and stocks where we see lot of fluctuations in the price market. However, when it comes t...

Full description

Saved in:

Bibliographic Details
Published in:	2018 International Conference on Communication and Signal Processing (ICCSP) pp. 0349 - 0353
Main Authors:	Bhat, Aditya, Kumar, T Santosh, Kalburgi, Udith Manoha, Kumar, E Sandeep, Talasila, Viswanath, Kumar, T V Suresh, Rishe, Naphtali, Kusuma, S.M
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-04-2018
Subjects:	Artificial Neural Networks Hypothesis testing Investment Linear Regression Mathematical model Neural networks Neurons Real estate investment Social factors Testing Training
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Real estate investment has gained a lot of interest from past several years due to its ability to provide good long term profit returns. It is considered to be safer than the other investment options like bonds and stocks where we see lot of fluctuations in the price market. However, when it comes to purchasing, selling and renting processes of real estate, there are many factors that play a vital role in an individual's decision making. In this paper, we consider the social factors that affect the real estate investment and find the top significant attributes that have a major influence on investment market. We use Artifical Neural Networks (ANNs), Linear Regression(LR) and Weighted Sum Model (WSM) for this purpose, also providing hypothesis testing on the probability distributions of the obtained attributes. The designed algorithm provides an automated means for the study of behavioral economics towards real estate investment. We have implemented our method on the official real estate MLS database called TerraFly of Miami Beach as our case study.
DOI:	10.1109/ICCSP.2018.8524289