Product Information
State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.Product Identifiers
PublisherSpringer-Verlag New York Inc.
ISBN-139781489992536
eBay Product ID (ePID)229453239
Product Key Features
Number of Pages347 Pages
Publication NameState-Space Models: Applications in Economics and Finance
LanguageEnglish
SubjectGovernment, Mathematics
Publication Year2015
TypeTextbook
AuthorShu Wu, Yong Zeng
SeriesStatistics and Econometrics for Finance
Dimensions
Item Height235 mm
Item Weight5621 g
Additional Product Features
EditorShu Wu, Yong Zeng
Country/Region of ManufactureUnited States