Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Fat-Tailed and Skewed Asset Return Distributions

Implications for Risk Management, Portfolio Selection, and Option Pricing
BuchGebunden
384 Seiten
Englisch
Wileyerschienen am26.08.2005
A bridge between the highly technical theory of the statistical distribution of asset returns and real-world applications for portfolio and risk management While mainstream theories and concepts assume that asset returns are normally distributed, empirical evidence shows otherwise.mehr
Verfügbare Formate
BuchGebunden
EUR101,50
E-BookPDF2 - DRM Adobe / Adobe Ebook ReaderE-Book
EUR67,99

Produkt

KlappentextA bridge between the highly technical theory of the statistical distribution of asset returns and real-world applications for portfolio and risk management While mainstream theories and concepts assume that asset returns are normally distributed, empirical evidence shows otherwise.
Details
ISBN/GTIN978-0-471-71886-4
ProduktartBuch
EinbandartGebunden
FormatGenäht
Verlag
Erscheinungsjahr2005
Erscheinungsdatum26.08.2005
Seiten384 Seiten
SpracheEnglisch
MasseBreite 161 mm, Höhe 240 mm, Dicke 25 mm
Gewicht742 g
Artikel-Nr.11870378
Rubriken

Inhalt/Kritik

Inhaltsverzeichnis
Preface. About the Authors. Chapter 1: Introduction. PART ONE: Probability and Statistics. Chapter 2: Discrete Probability Distributions. Chapter 3: Continuous Probability Distributions. Chapter 4: Describing a Probability Distribution Function: Statistical Moments and Quantiles. Chapter 5: Joint Probability Distributions. Chapter 6: Copulas. Chapter 7: Stable Distributions. Chapter 8: Estimation Methodologies. PART TWO: Stochastic Processes. Chapter 9: Stochastic Processes in Discrete Time and Time Series Analysis. Chapter 10: Stochastic Processes in Continuous Time. PART THREE: Portfolio Selection. Chapter 11: Equity and Bond Return Distributions. Chapter 12: Risk Measures and Portfolio Selection. Chapter 13: Risk Measures in Portfolio Optimization and Performance Measures. PART FOUR: Risk Management. Chapter 14: Market Risk. Chapter 15: Credit Risk. Chapter 16: Operational Risk. PART FIVE: Option Pricing. Chapter 17: Introduction to Option Pricing and the Binomial Model. Chapter 18: Black-Scholes Option Pricing Model. Chapter 19: Extension of the Black-Scholes Model and Alternative Approaches. INDEX.mehr

Autor

SVETLOZAR T. RACHEV, PhD, DR. SCI, is currently Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering and Professor Emeritus at the University of California. He is also the founder of Bravo Risk Management Group and Chief Scientist of FinAnalytica.CHRISTIAN MENN, DR. RER. POL., is Hochschulassistent at the Chair of Statistics, Econometrics and Mathematical Finance at the University of Karlsruhe. Currently, he is a Visiting Scientist at the School of Operations Research and Industrial Engineering at Cornell University as a postdoctoral fellow.FRANK J. FABOZZI, PhD, CFA, CPA, is the Frederick Frank Adjunct Professor of Finance at Yale University's School of Management. He is also a Fellow of the International Center for Finance at Yale University. Prior to joining the Yale faculty, Fabozzi was a visiting professor of finance in the Sloan School at MIT. Fabozzi has authored and edited many acclaimed books in finance and is also the Editor of the Journal of Portfolio Management.