Elements of Financial Risk Management (PDF)
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Elements of Financial Risk Management offers an introduction to modern risk management. It focuses on implementation, especially recent techniques which facilitate bridging the gap between standard textbooks on risk and real-life risk management systems.
It identifies key features of risk asset returns and captures them in tractable statistical models in the companion website. It presents step-by-step approaches as a means to solve problems.
This book is intended for three types of readers with an interest in financial risk management. First, Master's and Ph.D. students specializing in finance and economics. Second, market practitioners with a quantitative undergraduate or graduate degree. Third, a small group of advanced undergraduates majoring in either economics, engineering, finance, or another quantitative field.
The book will also suit those in financial engineering courses who have strong quantitative backgrounds and those in Ph.D. courses.
*Pinpoints key features of risk asset returns and captures them in tractable statistical models in the companion website *Presents step-by-step approaches as a means to solve problems *Visible patterns in the data motivate the choices of tools, and when tools fall short, it presents the next tool
- Autor: Peter Christoffersen
- 2003, 214 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0080472613
- ISBN-13: 9780080472614
- Erscheinungsdatum: 04.09.2003
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 9.74 MB
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- Vorlesefunktion
--Tim Bollerslev, Duke University, Durham, North Carolina, U.S.A.
"This is a book I and dozens of others wanted to write, and a book everyone in financial risk management will want to read. It is rigorous yet immensely practical, unifying many threads from the past and pointing the way toward the future -- an instant classic."
--Francis X. Diebold, WP Carey Professor of Economics, Professor of Finance and Statistics, Department of Economics, University of Pennsylvania, U.S.A.
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