Peters | Real Options Illustrated | Buch | 978-3-319-28309-8 | sack.de

Buch, Englisch, 107 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1942 g

Reihe: SpringerBriefs in Finance

Peters

Real Options Illustrated

Buch, Englisch, 107 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1942 g

Reihe: SpringerBriefs in Finance

ISBN: 978-3-319-28309-8
Verlag: Springer International Publishing


This book explains the standard Real Options Analysis (ROA) literature in a straightforward, step by step manner without the use of complex mathematics. A lot of ROA literature is described through partial differential equations, probability density functions and simulation techniques, all of which may be unconvincing in the applicable qualities ROA possesses. Using this book, the reader will have a better grasp about how ROA works and will be able to provide his or her judgment about ROA, since all the basics, as well as its positive and negative qualities, are discussed.

Real Options Illustrated provides practitioners with a real options framework and encourages readers to study the methodology using the in-depth explanations. This introduction to ROA is sufficient to equip readers with ROA basics, enabling them to perform future independent research. From this book, readers can judge whether ROA is of any value to their field.
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Research


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Weitere Infos & Material


Introduction.- Comparison of Real Options Analysis and Other Methods.- Real Options Methods Illustrated.- The Impact of Probability Distributions.


Linda Peters, PhD Candidate on the field of Applied Economics at the University of Antwerp; Project Manager and Statistician Social Security at a government agency and Expert Social Protection for international projects. As a PhD candidate she is involved in the application of Real Option theory to Global Public Policy and her research contributes to bridge the gap between theory and practice. Her research interests include: Real Options, Global Public Policy, Social Protection, Models of Decision-Making, Probability Distributions.


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