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Company valuation and the nonlinear state marginal price vector model under agency conflicts

Author

Listed:
  • Olaf Kintzel

    (Fernuniversität Hagen)

  • Christian Toll

    (Fernuniversität Hagen)

Abstract

In the present contribution, the innovative nonlinear state marginal price vector model introduced in Toll and Kintzel (CEJOR 27(4):1079–1105, 2019) (plus Errata herein) is enriched to include budgeting problems under agency conflicts. Under asymmetric information, a company owner as principal can only rely on information transmitted to her from her managers as agents. In the related modeling, it is assumed that slack and capital rationing are optimal. The governing budgeting relations are integrated into a nonlinear framework furnished by a multi-period newsvendor approach and are solved numerically by means of a two-step valuation procedure based on two successive nonlinear convex optimizations. The capital market is assumed to be imperfect. As case study, the M&A-valuation case of a merger of two IT-service companies is considered subjected to optimal combined dimensioning of capacities and budgets under stochastic demand. On balance, by addressing agency conflicts within the well-established nonlinear framework, the practical application field of the valuation procedure is widened.

Suggested Citation

  • Olaf Kintzel & Christian Toll, 2022. "Company valuation and the nonlinear state marginal price vector model under agency conflicts," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1279-1305, December.
    • Handle: RePEc:spr:cejnor:v:30:y:2022:i:4:d:10.1007_s10100-021-00765-2
    DOI: 10.1007/s10100-021-00765-2
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    References listed on IDEAS

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