On the Valuation of Real Options. Necessary Mathematical Tools and Compelling Approaches in Financial Literature


Thèse de Bachelor, 2015

50 Pages, Note: 1.0


Extrait


Table of contents

List of Figures

List of Tables

List of Abbreviations

Introduction

1 What are Real Options?
1.1 Definition
1.2 Comparison to traditional Net Present Value method
1.3 Types of real options and analogy to financial options

2 Real Options Theory
2.1 Literature Review
2.2 Stochastic Processes
2.2.1 The Basic and the Generalized Wiener Process
2.2.2 Itô Process, Geometric Brownian Motion and Itô’s Lemma
2.2.3 Jump-Diffusion Process
2.2.4 Mean-Reverting Process

3 Approaches to Real Option Valuation
3.1 Dynamic Programming
3.1.1 Discrete time optimization
3.1.2 Optimal Stopping
3.1.3 Continuous Time Optimization
3.1.4 Value Matching and Smooth Pasting Condition
3.2 Contingent Claim Analysis
3.2.1 Replicating Portfolio
3.2.2 Spanning Assets
3.2.3 Smooth Pasting
3.3 Simulation Approach
3.4 Comparison of the Approaches

4 Valuing undeveloped petroleum reserves
4.1 Valuation of a developed reserve
4.2 Valuation of an undeveloped reserve
4.3 Numerical examples
4.4 Final Remarks

Conclusion

Appendix
A Derivation of Itô’s Lemma
B Derivation of expected value and variance for an Ornstein- Uhlenbeck process
C Optimal Stopping Regions and Smooth Pasting References

Fin de l'extrait de 50 pages

Résumé des informations

Titre
On the Valuation of Real Options. Necessary Mathematical Tools and Compelling Approaches in Financial Literature
Université
European University Viadrina Frankfurt (Oder)
Note
1.0
Auteur
Année
2015
Pages
50
N° de catalogue
V307164
ISBN (ebook)
9783668056527
ISBN (Livre)
9783668056534
Taille d'un fichier
1292 KB
Langue
anglais
Mots clés
corporate finance, realoptions, option, pricing, valuation, derivatives, NPV, Real, Options
Citation du texte
Viet Dung Le (Auteur), 2015, On the Valuation of Real Options. Necessary Mathematical Tools and Compelling Approaches in Financial Literature, Munich, GRIN Verlag, https://www.grin.com/document/307164

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