Debt Ratio Optimization as an Alternative Approach to Capital Structure Determination Using the Lagrange Method

Authors

  • Muhammad Ario Mulawarman University, Samarinda, Indonesia.
  • Alphero Tanlianto Nanyang Technological University Singapore, Singapore.
  • Muhammad Halim Fathanah Mulawarman University, Samarinda, Indonesia.
  • Jesen Jovan Lo
  • Felisitas Defung Mulawarman University, Samarinda, Indonesia.

DOI:

https://doi.org/10.30872/jfor.v27i1/4449

Keywords:

Capital Structure, Lagrange Optimization, Debt Ratio, Equity Value, Trade-Off Theory, Asymptotic Behavior, Econometric Modeling

Abstract

This study develops a mathematical optimization model for determining the optimal debt ratio in a firm’s capital structure using the Lagrange method. By expressing equity value as a function of leverage, the model identifies a structural asymptote that divides the feasible region into positive and negative equity outcomes, thereby eliminating the possibility of an interior maximum and mathematically refuting the central prediction of the Trade-Off Theory. The first-order condition produces two critical points, but only one lies within the positive region and is shown through second-order analysis to be a local minimum rather than an optimum. Numerical simulation and empirical validation further demonstrate that optimal equity value arises under two extreme leverage conditions: zero leverage for conservative strategies and high leverage approaching the asymptote for aggressive strategies. These results establish a new analytical foundation for capital structure theory, provide a basis for developing more complex econometric models, and offer practical guidance for firms in prioritizing leverage decisions according to their risk preferences and strategic objectives

References

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Published

2025-12-31

How to Cite

Debt Ratio Optimization as an Alternative Approach to Capital Structure Determination Using the Lagrange Method. (2025). FORUM EKONOMI: Jurnal Ekonomi, Manajemen Dan Akuntansi, 27(Special Issue), 69-83. https://doi.org/10.30872/jfor.v27i1/4449