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Regression approach to Portfolio Optimization

  • Asset Management Review
  • Abbr : AMR
  • 2024, 12(2), pp.21~36
  • Publisher : Institute of Management Research, SungKyunKwan University
  • Research Area : Social Science > Business Management > Finance
  • Received : June 13, 2024
  • Accepted : August 17, 2024
  • Published : December 31, 2024

Xiaoying Wu 1 Taihun Lim 1 Hyoung-Goo Kang 1

1한양대학교

Accredited

ABSTRACT

This study introduces a convenient approach to portfolio optimization by integrating regression and machine learning techniques into the traditional Mean-Variance Optimization (MVO) framework. We establish a connection between MVO and Ordinary Least Squares (OLS) regression, redefining asset allocation through a regression perspective. The methodology includes generating target returns for regression analysis and applying machine learning algorithms for enhanced portfolio management. This approach not only reinterprets portfolio optimization but also showcases the potential of predictive models in dynamic financial markets.

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