Energy Risk Modeling / Finance and Capital Markets Series (PDF)
Applied Modeling Methods for Risk Managers
(Sprache: Englisch)
Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle...
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Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using statistical methods for modeling energy price risk. Statistical ideas are presented by outlining the necessary concepts and illustrating how these ideas can be implemented. This is the first energy risk book on the market to focus specifically on the role of statistical methods. Its practical approach makes the book a very useful reference and an interesting read.
Autoren-Porträt von Nigel Da Costa Lewis, Kenneth A. Loparo
NIGEL DA COSTA LEWIS is a Professional Writer who has many years work experience in quantitative, econometric and statistical methods. He has worked in the City of London, on Wall Street and in academia. Dr Lewis is the author of a number of books for risk managers, including Operational Risk with Excel and VBA (Wiley) and the classic text Market Risk Modelling (Risk Books). He also holds an award winning PhD from the University of Cambridge and four Master's degrees in Statistics, Economics, Finance, and Advanced Computer Science, all from the University of London, UK.
Bibliographische Angaben
- Autoren: Nigel Da Costa Lewis , Kenneth A. Loparo
- 2005, 2005, 247 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0230523781
- ISBN-13: 9780230523784
- Erscheinungsdatum: 21.06.2005
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.32 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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