This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes

Lukas Heim evaluates the performance of a price-level targeting rule compared to that of a standard inflation targeting rule. The comparison is based on a medium-scale DSGE model which has been estimated based on state-of-the-art Bayesian methods. The model for the Swiss economy is an expanded...

Dynamic Pricing of services has become the norm for many young service industries - especially in today’s volatile markets. Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent...

PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other 'noisy' systems where the main emphasis is process optimization. The book can also be used as a reference text by Industrial, Quality and...

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...

In den letzten Jahren sind die Messung und die Steuerung von Kreditrisiken aufgrund der verschlechterten makroökonomischen Rahmenbedingungen und der daraus resultierenden Zunahme der Insolvenzen ins Zentrum des Interesses gerückt. Verstärkt wird diese Entwicklung durch die vom Baseler...

Provides an analysis of dynamic modelling in econometrics by bridging the unit-root gap between structural and time series approaches and focusing on representation theorems of (co)integrated processes.The book also presents an analytical setting to guide the formulation and solution in closed...