Doktorarbeit / Dissertation, 2012
208 Seiten, Note: 1,0
This dissertation aims to contribute to the existing literature on corporate valuation under uncertainty. It examines various approaches to valuation in the presence of uncertainty, including real options, risk-neutral valuation, risk-adjusted valuation, and valuation with stochastic interest rates and investment opportunities. The work also explores the impact of incomplete information on valuation.
The dissertation begins with an introduction that outlines the research problem and the objectives of the study. The second chapter provides a comprehensive review of the existing literature on corporate valuation under uncertainty, highlighting the different approaches and their strengths and weaknesses. The third chapter focuses on the valuation of firms under uncertainty, examining the real options approach, the risk-neutral valuation approach, the risk-adjusted valuation approach, and valuation with stochastic interest rates and investment opportunities. The fourth chapter investigates the impact of incomplete information on valuation, exploring the role of information asymmetry and its implications for decision-making.
The core concepts and keywords of this dissertation include corporate valuation, uncertainty, real options, risk-neutral valuation, risk-adjusted valuation, stochastic interest rates, stochastic investment opportunities, incomplete information, information asymmetry, and decision-making.
The dissertation examines how different forms of uncertainty can be made transparent in corporate valuation and how they affect standard valuation methods.
The work covers Real Options analysis, Risk-Neutral valuation, Risk-Adjusted valuation, and valuation with stochastic interest rates or investment opportunities.
Incomplete information leads to information asymmetry, which the dissertation explores in terms of its implications for decision-making and valuation accuracy.
The goal is to show conditions under which expected future cash flows from business plans can be transformed into a "quasi-certain" case for easier practical application.
Yes, it enables connections to established valuation approaches based on cost of capital concepts, allowing for necessary adjustments under uncertainty.
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