Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles

Balachandra Muniyal, Sumith N*, Sriraksha Nayak, Namratha Prabhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The real estate market is increasing at a rapid pace, which has also led to increase in risk of investment in real estate. In this paper analysis of real estate markets and prediction of the risk involved in the investment has been done. The approach proposed here clusters the property based on market value per square feet located in different school districts. This also help buyers to make scientifically based decisions on investing in property. The result demonstrate that tat the proposed prediction model estimates approximate value for their property. The prediction give a lower as well as upper limit on the market value of the property. This prediction can safeguard against asset bubbles that are created by various parties involved in real estate network. We can conclude that when buyers and investors are aware of the market price of the asset in future they can safeguard themselves from asset bubbles. Thus, this work is also used to protect against asset bubbles.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers
EditorsShiva Raj Pokhrel, Min Yu, Gang Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages37-52
Number of pages16
ISBN (Print)9789811911651
DOIs
Publication statusPublished - 2022
Event12th International Conference on Applications and Technologies in Information Security, ATIS 2021 - Virtual, Online
Duration: 16-12-202117-12-2021

Publication series

NameCommunications in Computer and Information Science
Volume1554 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference12th International Conference on Applications and Technologies in Information Security, ATIS 2021
CityVirtual, Online
Period16-12-2117-12-21

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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