A Probability Metrics Approach to Financial Risk Measures (eBook)

eBook Download: PDF
2011 | 1. Auflage
392 Seiten
John Wiley & Sons (Verlag)
978-1-4443-9269-2 (ISBN)

Lese- und Medienproben

A Probability Metrics Approach to Financial Risk Measures - Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi
Systemvoraussetzungen
162,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
A Probability Metrics Approach to Financial Risk Measures
relates the field of probability metrics and risk measures to one
another and applies them to finance for the first time.

* Helps to answer the question: which risk measure is best for a
given problem?

* Finds new relations between existing classes of risk
measures

* Describes applications in finance and extends them where
possible

* Presents the theory of probability metrics in a more accessible
form which would be appropriate for non-specialists in the
field

* Applications include optimal portfolio choice, risk theory, and
numerical methods in finance

* Topics requiring more mathematical rigor and detail are
included in technical appendices to chapters

Svetlozar (Zari) T. Rachev is Chair-Professor in Statistics, Econometrics and Mathematical Finance at the University of Karlsruhe in the School of Economics and Business Engineering. He is also Professor Emeritus at the University of California, Santa Barbara in the Department of Statistics and Applied Probability. He has published seven monographs, eight handbooks and special-edited volumes, and over 300 research articles. His recently coauthored books published by Wiley in mathematical finance and financial econometrics include Fat-Tailed and Skewed Asset Return Distributions: Implications for Risk Management, Portfolio selection, and Option Pricing (2005), Operational Risk: A Guide to Basel II Capital Requirements, Models, and Analysis (2007), Financial Econometrics: From Basics to Advanced Modeling Techniques (2007), and Bayesian Methods in Finance (2008). He is cofounder of Bravo Group, now FinAnalytica, specializing in financial risk-management software, for which he serves as Chief Scientist. Stoyan V. Stoyanov, Ph.D. is the Head of Quantitative Research at FinAnalytica specializing in financial risk management software. He is author and co-author of numerous papers some of which have recently appeared in Economics Letters, Journal of Banking and Finance, Applied Mathematical Finance, Applied Financial Economics, and International Journal of Theoretical and Applied Finance. He is a coauthor of the mathematical finance book Advanced Stochastic Models, Risk Assessment and Portfolio Optimization: the Ideal Risk, Uncertainty and Performance Measures (2008) published by Wiley. Dr. Stoyanov has years of experience in applying optimal portfolio theory and market risk estimation methods when solving practical problems of clients of FinAnalytica. Frank J. Fabozzi is Professor in the Practice of Finance in the School of Management at Yale University. Prior to joining the Yale faculty, he was a Visiting Professor of Finance in the Sloan School at MIT. Professor Fabozzi is a Fellow of the International Center for Finance at Yale University and on the Advisory Council for the Department of Operations Research and Financial Engineering at Princeton University. He is the editor of the Journal of Portfolio Management. His recently coauthored books published by Wiley in mathematical finance and financial econometrics include The Mathematics of Financial Modeling and Investment Management (2004), Financial Modeling of the Equity Market: From CAPM to Cointegration (2006), Robust Portfolio Optimization and Management (2007), Financial Econometrics: From Basics to Advanced Modeling Techniques (2007), and Bayesian Methods in Finance (2008).

"The authors should be applauded for providing a unique and very readable account of probability metrics and the application of this specialized field to financial problems."
--Professor Carol Alexander, Henley Business School at Reading

"This self-contained book covering the important field of probability metrics is a wonderful addition to the literature in financial economics. What makes it unique is that it presents this area at a level accessible to those without extensive prior experience-academic and practitioner alike."
--Petter Kolm, New York University

Erscheint lt. Verlag 10.3.2011
Sprache englisch
Themenwelt Wirtschaft Betriebswirtschaft / Management Finanzierung
Betriebswirtschaft / Management Spezielle Betriebswirtschaftslehre Versicherungsbetriebslehre
Wirtschaft Volkswirtschaftslehre Ökonometrie
Schlagworte Ökonometrie • Econometrics • Economics • Ökonometrie • Volkswirtschaftslehre
ISBN-10 1-4443-9269-7 / 1444392697
ISBN-13 978-1-4443-9269-2 / 9781444392692
Haben Sie eine Frage zum Produkt?
PDFPDF (Adobe DRM)
Größe: 3,0 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Navigating the Exams as Applications of Data Science

von Fred Szabo; Ping Wang

eBook Download (2024)
Elsevier Science (Verlag)
51,95
Dos and Don'ts for Planning, Chairing and Holding Virtual Board …

von Dr. Debra Brown; Rob DeRooy; Jake Skinner

eBook Download (2021)
Governance Solutions Inc. (Verlag)
9,49