Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 70 , 08 January 2024


Open Access | Article

Exploring the Application of Quadratic Programming Within the Markowitz Economic Model: An Empirical Analysis of the Chinese Real Estate Market

Jinpeng Xu * 1
1 Hainan University, Zip code: 570228, 58 People's Avenue, Haikou City, Hainan Province, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 70, 31-37
Published 08 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Jinpeng Xu. Exploring the Application of Quadratic Programming Within the Markowitz Economic Model: An Empirical Analysis of the Chinese Real Estate Market. AEMPS (2024) Vol. 70: 31-37. DOI: 10.54254/2754-1169/70/20231549.

Abstract

This paper introduces an innovative approach by incorporating quadratic programming (QP) into the Markowitz portfolio optimization framework. The central objective of our study is to explore the integration of QP as a solution scheme for portfolio optimization problems with constraints, particularly in the context of the dynamic and complex Chinese real estate market.By meticulously formulating rigorous mathematical models and implementing systematic procedures, we empirically assess the effectiveness and applicability of QP within the Markowitz portfolio model. Our research contributes to a deeper understanding of portfolio optimization by shedding light on how QP can aid investors in optimizing their portfolios in the intricacies of the Chinese real estate market. We provide valuable advice for investors, enabling them to make more informed and efficient investment decisions, thereby reducing risk and maximizing returns. This study serves as a valuable reference for academics, practitioners, and policymakers seeking to navigate the challenging landscape of the Chinese real estate market.

Keywords

Markowitz mean-variance model, quadratic programming, Chinese real estate market, Portfolio analysis

References

1. Markowitz, H. M. . (1952). Portfolio selection. The Journal of Finance, 7(1), 77.

2. Soleimani, H. , Golmakani, H. R. , & Salimi, M. H. . (2009). Markowitz-based portfolio selection with minimum transaction lots, cardinality constraints and regarding sector capitalization using genetic algorithm. Expert Systems with Applications, 36(3p1), 5058-5063.

3. Deng, G. F. , Lin, W. T. , & Lo, C. C. . (2012). Markowitz-based portfolio selection with cardinality constraints using improved particle swarm optimization. Expert Systems with Applications, 39(4), 4558-4566.

4. Czichowsky, C. , & Schweizer, M. . (2012). Cone-constrained continuous-time markowitz problems. The Annals of Applied Probability, 23(2), 764-810.

5. Li, X. , & Xu, Z. Q. . (2016). Continuous-time markowitz's model with constraints on wealth and portfolio. Operations Research Letters, 44(6), 729-736.

6. Economist, T. E. . (2019). An extension to the classical mean–variance portfolio optimization model. The Engineering Economist, 64(3), 310-321.

7. Hu, S. , & Wang, Q. . (2022). A globally convergent method for solving a quartic generalized markowitz portfolio problem. Applied Numerical Mathematics: Transactions of IMACS, 179.

8. Delikta, D. , & Ustun, O. . (2022). Multi-objective genetic algorithm based on the fuzzy multimoora method for solving the cardinality constrained portfolio optimization. Applied Intelligence, 1-27.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-271-8
ISBN (Online)
978-1-83558-272-5
Published Date
08 January 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/70/20231549
Copyright
08 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated