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Portfolio Analytics
Details
This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared. The author then proceeds to modern portfolio theory (MPT) and illustrates how the constraints interfere substantially in the construction of optimized portfolios. As a conclusion, the book provides the reader with all the essential aspects of investment controlling.
Explains how to analyze key variables for constructing a portfolio Provides a rich collection of examples to assist the student in following the theory Equips the reader with essential performance measurement know-how as well as advanced research topics
Autorentext
Dr. Wolfgang Marty is Investment Strategist at AgaNola. Between 2015 and 1998 he was working with Credit Suisse in Zurich. He joined as Head of Product Engineering and later became Head of Portfolio Analytics. From 1989 - 1998 he worked in London and Chicago. He is specialized in performance measurement, fixed income portfolio attribution and portfolio optimization. He has been committed to actively developing the fixed-income markets for many years. In particular it pursues the interests of the Swiss market participants in the European Bond Commission (EBC). Moreover, Wolfgang Marty is a member of the Executive Committee of the EBC, as well as of the Bond Index Commission of SIX Exchange.
Inhalt
Introduction.- Return Analysis.- Risk Measurement.- Performance Measurement.- Investment Controlling.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319198118
- Sprache Englisch
- Auflage 2nd edition 2015
- Größe H241mm x B160mm x T18mm
- Jahr 2015
- EAN 9783319198118
- Format Fester Einband
- ISBN 3319198114
- Veröffentlichung 16.10.2015
- Titel Portfolio Analytics
- Autor Wolfgang Marty
- Untertitel An Introduction to Return and Risk Measurement
- Gewicht 500g
- Herausgeber Springer International Publishing
- Anzahl Seiten 220
- Lesemotiv Verstehen
- Genre Betriebswirtschaft