Diplomarbeit, 2007
77 Seiten, Note: 1
1 Introduction
2 Relative Valuation
2.1 Traditional Approach
2.1.1 Common Multiples and their Drawbacks
2.1.2 The Accuracy of Multiples and Best Practices
2.2 Modifications and Extensions
2.2.1 Multiples Based on Non-financial Data
2.2.2 Growth-adjusted Multiples
2.2.3 Knowledge-related Multiples
3 DCF Valuation
3.1 General Framework
3.2 Modifications for High Growth Companies
3.2.1 Scenario-based DCF
3.2.2 Estimating Cash Flows
3.2.3 Estimating Growth
3.2.4 Estimating the Discount Rate
4 Other Methods
4.1 Real Options
4.2 Venture Capital Method
5 Case Study: Valuing bwin
5.1 The Problem
5.2 Market Review and Key Value Drivers
5.3 Relative Valuation
5.4 DCF Valuation
6 Conclusion
The primary objective of this thesis is to critically evaluate the applicability of traditional valuation methods for high growth companies and to explore necessary modifications or extensions that account for the unique characteristics of such firms, specifically regarding their high uncertainty and negative earnings. The research aims to determine whether these adjusted methods provide more reliable valuation results through a practical case study.
3.2.1 Scenario-based DCF
Koller et al. (2005) and Damodaran (2001) state that traditional valuation principles apply also for high growth companies. Nevertheless modifications of the traditional DCF approach are helpful to cope with the specific characteristics of them. The first method handled is a DCF valuation that starts from the future, in connection with probability-weighted scenarios. In this approach the components of the DCF valuation are the same, the difference lies in their order and their emphasis.
While a traditional DCF valuation for established companies would start with analysing historical performance, in this method the expected long-term development of the market in which the company is active constitutes the starting point of the valuation. As long term projections bear high uncertainty, multiple scenarios should be used. Each scenario should depict a possible development of the market under different conditions, the level of profitability and the investment needed for a firm to be successful. To do this, a point of time in the future has to be determined where the company’s financial performance is likely to stabilize. From this point one has to work backward to link the forecast with the firm’s current performance. Finally probabilistic weights have to be applied to each scenario, which should be consistent with long-term historical evidence about corporate growth.
1 Introduction: Provides an overview of the challenges in valuing high growth companies following the internet bubble and defines the focus on firms in the rapid expansion and high growth lifecycle stages.
2 Relative Valuation: Discusses the traditional approach using multiples, its limitations for high growth firms, and explores various modifications like growth-adjusted and knowledge-related multiples.
3 DCF Valuation: Details the general enterprise DCF framework and explains necessary modifications, such as scenario-based modeling and adjusting for specific high growth input challenges.
4 Other Methods: Reviews alternative techniques including Real Options and the Venture Capital Method, assessing their suitability as complementary tools for company valuation.
5 Case Study: Valuing bwin: Applies the theoretical frameworks to the Austrian online gaming company "bwin" to illustrate the valuation process, including both relative and scenario-based DCF approaches.
6 Conclusion: Summarizes the findings, emphasizing that while traditional multiples have limited use, the scenario-based DCF approach provides the most valuable results for high growth companies.
High Growth Companies, Company Valuation, DCF Valuation, Relative Valuation, Multiples, Discounted Cash Flow, Scenario-based DCF, Online Gaming Industry, Market Volatility, Growth Assets, Equity Valuation, Enterprise Value, Risk Premium, Financial Modeling, Intangible Assets
The thesis investigates valuation methods suitable for high growth companies, which often lack a positive financial track record and face high uncertainty, making traditional valuation approaches difficult to apply.
The work covers relative valuation (multiples), the discounted cash flow (DCF) framework, real options, the venture capital method, and industry-specific value drivers, particularly in the online gaming sector.
The goal is to determine how traditional valuation models can be modified or extended to effectively value high growth firms and to test these models through a practical application.
The paper uses a comparative literature review of established valuation theory and an empirical case study approach to apply these theories to the real-world example of bwin.
The main body critiques historical-data-based multiples, explores forward-looking and knowledge-related extensions, and provides a detailed step-by-step application of a scenario-based DCF model.
Key terms include High Growth Companies, DCF Valuation, Multiples, Enterprise Value, Online Gaming Industry, and Growth Assets.
They often rely on historical earnings, which are typically negative or volatile for high growth firms, leading to misleading valuation results.
It allows for the explicit modeling of various market outcomes and uncertainty, making the underlying assumptions of the valuation more transparent and flexible.
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