Foundations of Quantitative Finance Book IV: Distribution Functions and Expectations (ePub)
(Sprache: Englisch)
Published under the collective title of Foundations of Quantitative Finance, this set of 10 books develops the advanced topics in mathematics that finance professionals need to improve their careers. These books develop the theory most do not learn in...
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Published under the collective title of Foundations of Quantitative Finance, this set of 10 books develops the advanced topics in mathematics that finance professionals need to improve their careers. These books develop the theory most do not learn in graduate finance programs, finance mathematics undergraduate and graduate courses.
Autoren-Porträt von Robert R. Reitano
Robert R. Reitano is Professor of the Practice of Finance at the Brandeis International Business School where he specializes in risk management and quantitative finance, and where he previously served as MSF Program Director, and Senior Academic Director. He has a Ph.D. in Mathematics from MIT, is a Fellow of the Society of Actuaries, and a Chartered Enterprise Risk Analyst. He has taught as Visiting Professor at Wuhan University of Technology School of Economics, Reykjavik University School of Business, and as Adjunct Professor in Boston University's Masters Degree program in Mathematical Finance. Dr. Reitano consults in investment strategy and asset/liability risk management and previously had a 29-year career at John Hancock/Manulife in investment strategy and asset/liability management, advancing to Executive Vice President & Chief Investment Strategist. His research papers have appeared in a number of journals and have won an Annual Prize of the Society of Actuaries and two F.M.
Bibliographische Angaben
- Autor: Robert R. Reitano
- 2023, 1. Auflage, 268 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000934543
- ISBN-13: 9781000934540
- Erscheinungsdatum: 12.09.2023
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eBook Informationen
- Dateiformat: ePub
- Grösse: 0.73 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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