Comparative Analysis of the Markowitz Model and the Kraljic Matrix Model in Portfolio Optimization and Procurement Management

Authors

  • Congyang Qian

DOI:

https://doi.org/10.61173/vye4ay39

Keywords:

Markowitz Model, Kraljic Matrix Model, Portfolio Management, Asset Allocation, Procurement Strategy

Abstract

This research studied two important models of portfolio management: the Markowitz model and the Kraljic Matrix Model. The Markowitz model is the basis of modern portfolio theory and is designed to optimise asset allocation by minimising risk while maximising returns. This paper provides a system to build a balanced portfolio by utilising diversity. On the other hand, the Kraljic Matrix Model classifies products based on supply risk and profit impact and provides a strategic tool for purchasing management. This model categorises products into four categories: noncritical, leverage, strategy, and bottleneck to support informed purchasing decisions. Despite its usefulness, the Kraljic matrix has been criticised for not taking into account the supplier’s perspective and for not providing guidelines for managing the movement of goods within the matrix. This paper studies the application and limitation of the two models, emphasises the need to adapt to the strategy in the portfolio and procurement management, and adjust according to the market dynamics.

References

[1] Beste A, Leventhal D, Williams J, Lu Q. The Markowitz Model. Selecting an Efficient Investment Portfolio. Lafayette College, Mathematics REU Program, 2002.

[2] Bradshaw N A, Walshaw C, Ierotheou C, Parrott, A. K. A multi-objective evolutionary algorithm for portfolio optimisation. In Proceedings of the Adaptive and Emergent Behaviour and Complex Systems Convention, 2009: 27-32.

[3] Alexander N, Scherer W, Burkett M. Extending the Dean&Francis Markowitz model with dimensionality reduction: Forecasting efficient frontiers. In 2021 Systems and Information Engineering Design Symposium (SIEDS) IEEE, 2021, April:1-6

[4] Markowitz H M, Todd G P. Mean-variance analysis in portfolio choice and capital markets. John Wiley & Sons, 66, 2000.

[5] Shefrin H. The behavioral paradigm shift. Revista de Administração de Empresas, 2015, 55(1): 95-98.

[6] Chaweewanchon A, Chaysiri R. Markowitz mean-variance portfolio optimization with predictive stock selection using machine learning. International Journal of Financial Studies, 2022, 10(3): 64.

[7] Wang W, Li W, Zhang N, Liu K. Portfolio formation with preselection using deep learning from long-term financial data. Expert Systems with Applications, 2020, 143, 113042.

[8] Ye Y. Empirical investigation of Kraljic portfolio matrix. Journal of Supply Chain and Operations Management, 2021, 19(2): 153-177.

[9] Padhi S S, Wagner S M, Aggarwal V. Positioning of commodities using the Kraljic Portfolio Matrix. Journal of Purchasing and Supply Management, 2012, 18(1): 1-8.

[10] Padhi SS, Mohapatra PKJ. Centralized bid evaluation for awarding of construction projects—a case of Indian government. International Journal of Project Management, 2010, 28 (2): 275–284.

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Published

2024-10-29