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Organizations in the information technology services sector, listed on global stock exchanges, play a crucial role in driving digital transformation. This transformation requires the effective management of operational costs. Simultaneously, with the growing adoption of artificial intelligence (AI) solutions, these companies have powerful tools and the potential to strengthen decision-making and significantly enhance operational efficiency. This research presents an assessment approach for evaluating the marginal risk impact on the Weighted Average Cost of Capital (WACC) of leading capitalized companies in the global information technology services sector. The research aims to develop a linear regression model to assess the maximum impact of margin risk coefficients, related to gross profit, EBIT, EBITDA, pre-tax income, and net income, on the Weighted Average Cost of Capital (WACC) in top-capitalized companies within the information technology services sector. The scientific novelty of this research lies in its comprehensive approach to evaluating the key drivers of marginal risk affecting WACC.

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A Multivariate Risk Model for WACC Estimation: Application of Earnings Margins’ Volatility Coefficients

  • 章节

  • 发表日期：

    2026年

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  • Mikayel R. Gyulasaryan,
  • Ashot V. Matevosyan,
  • Mane H. Matevosyan,
  • Ani Z. Grigoryan

摘要

Organizations in the information technology services sector, listed on global stock exchanges, play a crucial role in driving digital transformation. This transformation requires the effective management of operational costs. Simultaneously, with the growing adoption of artificial intelligence (AI) solutions, these companies have powerful tools and the potential to strengthen decision-making and significantly enhance operational efficiency. This research presents an assessment approach for evaluating the marginal risk impact on the Weighted Average Cost of Capital (WACC) of leading capitalized companies in the global information technology services sector. The research aims to develop a linear regression model to assess the maximum impact of margin risk coefficients, related to gross profit, EBIT, EBITDA, pre-tax income, and net income, on the Weighted Average Cost of Capital (WACC) in top-capitalized companies within the information technology services sector. The scientific novelty of this research lies in its comprehensive approach to evaluating the key drivers of marginal risk affecting WACC.