This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. The study of these models from a Bayesian viewpoint is relatively recent and can be considered very promising due to the advantages of the Bayesian approach, in...

The current world financial scene indicates at an intertwined and interdependent relationship between financial market activity and economic health. This book explains how the economic messages delivered by the dynamic evolution of financial asset returns are strongly related to option prices....

Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...

Für eine effiziente Kapitalallokation, insbesondere mit Blick auf die Hinterlegung ausreichender Eigenmittel zur Absicherung gegen extreme Marktbewegungen, ist eine möglichst genaue Abschätzung der Marktrisiken erforderlich. Die Ermittlung des Value-at-Risk ist in diesem Zusammenhang von...

Modellierung der Abhängigkeiten zwischen Ausfall, Verlustrate und Forderungshöhe bei Ausfall mit Faktoren und Copulae -- Multivariate Erweiterung des Heckman-Schätzers, um der Stichprobenselektion seitens der Verlustrate und der Forderungshöhe gerecht zu werden -- Empirische Befunde zur...

This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring system, using first, a sequence of competing...

Softcover version of the second edition Hardcover.Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the...

Statistical Methods to Develop Rating Models -- Estimation of a Rating Model for Corporate Exposures -- The Shadow Rating Approach - Experience from Banking Practice -- Estimating Probabilities of Default for Low Default Portfolios -- Transition Matrices: Properties and Estimation Methods -- A...

The Libor Market Model (LMM) is a mathematical model for pricing and risk management of interest rate derivatives and has been built on the framework of modelling forward rates. For the conceptual understanding of the model a strong background in the fields of mathematics, statistics, finance...