Optimization Techniques in Real Estate Investment Portfolios: A Quantitative Approach

Authors

  • Tarang Patel Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Pushpendra Singh Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Deepak Dhaakad Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Sidhraj Vaghela Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Rahul Chauhan Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Andino Maseleno Department of Information Systems, Institut Bakti Nusantara, Lampung, Indonesia
  • R Rizal Isnanto Department of Computer Engineering, Diponegoro University, Semarang, Indonesia

DOI:

https://doi.org/10.38035/gijes.v1i4.263

Keywords:

Real estate investment, portfolio optimization, sustainability, artificial intelligence

Abstract

This study explores optimization techniques in real estate investment portfolios, focusing on balancing risk and return through diversification, sustainability, and technology integration. By analyzing responses from 104 participants across different demographic groups, the research examines how factors such as age, gender, education, and occupation influence the adoption of strategies like AI-driven decision-making, ESG considerations, and corporate governance. The findings reveal that while traditional optimization techniques remain essential, there is growing acceptance of advanced tools and sustainable practices. The study emphasizes the importance of a holistic approach to portfolio management, combining financial performance with ethical and environmental considerations. Future research can further investigate emerging technologies and global regulatory impacts on real estate investments.

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Published

2024-01-21

How to Cite

Patel, T., Singh, P., Dhaakad, D., Vaghela, S., Chauhan, R., Maseleno, A., & Rizal Isnanto, R. (2024). Optimization Techniques in Real Estate Investment Portfolios: A Quantitative Approach. Greenation International Journal of Engineering Science, 1(4), 183–194. https://doi.org/10.38035/gijes.v1i4.263

Issue

Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)

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Articles

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Copyright (c) 2024 Tarang Patel, Pushpendra Singh, Deepak Dhaakad, Sidhraj Vaghela, Rahul Chauhan, Andino Maseleno, R Rizal Isnanto

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