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M&A and the simulation-based valuation of companies with an uncertain exit price and special rights

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Gleißner, W., Wolfrum, M., Dorfleitner, G. M&A and the simulation-based valuation of companies with an uncertain exit price and special rights. Credit and Capital Markets – Kredit und Kapital, 99999(), 1-37. https://doi.org/10.3790/ccm.2025.1455401
Gleißner, Werner; Wolfrum, Marco and Dorfleitner, Gregor "M&A and the simulation-based valuation of companies with an uncertain exit price and special rights" Credit and Capital Markets – Kredit und Kapital 99999., 2025, 1-37. https://doi.org/10.3790/ccm.2025.1455401
Gleißner, Werner/Wolfrum, Marco/Dorfleitner, Gregor (2025): M&A and the simulation-based valuation of companies with an uncertain exit price and special rights, in: Credit and Capital Markets – Kredit und Kapital, vol. 99999, iss. , 1-37, [online] https://doi.org/10.3790/ccm.2025.1455401

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M&A and the simulation-based valuation of companies with an uncertain exit price and special rights

Gleißner, Werner | Wolfrum, Marco | Dorfleitner, Gregor

Credit and Capital Markets – Kredit und Kapital, Online First : pp. 1–37

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Prof. Dr. Werner Gleißner is a member of the board of the FutureValue Group AG and honorary professor for business administration, esp. risk management, at the TU Dresden. He is also a board member of the European Association of Certified Valuators and Analysts (EACVA).

Marco Wolfrum is a partner of FutureValue Group AG and deputy chairman of the board of the RMA Risk Management & Rating Association e.V. as well as managing director of the RMA Rating & Risk Academy GmbH. He is a lecturer in risk management at various universities.

Prof. Dr. Gregor Dorfleitner is Professor of Finance and Director of the Center of Finance at the University of Regensburg.

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Abstract

This article presents a new methodological approach to value private equity investments based on simulation. The valuation relies on ‘imperfect replication’. This method does not presuppose the perfection of the capital market and is essentially built on measuring the risk. The approach turns out to be easy to implement. Firm specific characteristics as well as and existing special rights can be depicted and modelled. The proposed methodology is of immediate practical usefulness as it can help to find decision support for concrete investment situations. Also, during the investment period it can be used for monitoring. The originality of the research lies in the combination of Monte Carlo simulation, multiple methods, relevant risk measures and risk-value models.