Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles

Balachandra Muniyal; Sumith N; Sriraksha Nayak; Namratha Prabhu

doi:10.1007/978-981-19-1166-8_4

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 proceeding › Conference 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 language	English
Title of host publication	Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers
Editors	Shiva Raj Pokhrel, Min Yu, Gang Li
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	37-52
Number of pages	16
ISBN (Print)	9789811911651
DOIs	https://doi.org/10.1007/978-981-19-1166-8_4
Publication status	Published - 2022
Event	12th International Conference on Applications and Technologies in Information Security, ATIS 2021 - Virtual, Online Duration: 16-12-2021 → 17-12-2021

Publication series

Name	Communications in Computer and Information Science
Volume	1554 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	12th International Conference on Applications and Technologies in Information Security, ATIS 2021
City	Virtual, Online
Period	16-12-21 → 17-12-21

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-19-1166-8_4

Cite this

Muniyal, B., N, S., Nayak, S., & Prabhu, N. (2022). Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles. In S. R. Pokhrel, M. Yu, & G. Li (Eds.), Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers (pp. 37-52). (Communications in Computer and Information Science; Vol. 1554 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1166-8_4

Muniyal, Balachandra ; N, Sumith ; Nayak, Sriraksha et al. / Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles. Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers. editor / Shiva Raj Pokhrel ; Min Yu ; Gang Li. Springer Science and Business Media Deutschland GmbH, 2022. pp. 37-52 (Communications in Computer and Information Science).

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title = "Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles",

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.",

author = "Balachandra Muniyal and Sumith N and Sriraksha Nayak and Namratha Prabhu",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Singapore Pte Ltd.; 12th International Conference on Applications and Technologies in Information Security, ATIS 2021 ; Conference date: 16-12-2021 Through 17-12-2021",

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doi = "10.1007/978-981-19-1166-8\_4",

language = "English",

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series = "Communications in Computer and Information Science",

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Muniyal, B, N, S, Nayak, S & Prabhu, N 2022, Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles. in SR Pokhrel, M Yu & G Li (eds), Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1554 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 37-52, 12th International Conference on Applications and Technologies in Information Security, ATIS 2021, Virtual, Online, 16-12-21. https://doi.org/10.1007/978-981-19-1166-8_4

Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles. / Muniyal, Balachandra; N, Sumith; Nayak, Sriraksha et al.
Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers. ed. / Shiva Raj Pokhrel; Min Yu; Gang Li. Springer Science and Business Media Deutschland GmbH, 2022. p. 37-52 (Communications in Computer and Information Science; Vol. 1554 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles

AU - Muniyal, Balachandra

AU - N, Sumith

AU - Nayak, Sriraksha

AU - Prabhu, Namratha

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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BT - Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers

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Muniyal B, N S, Nayak S, Prabhu N. Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles. In Pokhrel SR, Yu M, Li G, editors, Applications and Techniques in Information Security - 12th International Conference, ATIS 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 37-52. (Communications in Computer and Information Science). doi: 10.1007/978-981-19-1166-8_4

Risk Prediction in Real Estate Investment to Protect Against Asset Bubbles

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