Time series in economics and finance
Cipra, Tomas
Time series in economics and finance [Documento eletrónico] / by Tomas Cipra. - Cham : Springer International Publishing : Springer , 2020 . - IX, 410 p. : il.. This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate time series methods, such as cointegration and recursive state space modeling. It also includes numerous practical examples to demonstrate the theory using real-world data, as well as exercises at the end of each chapter to aid understanding. This book serves as a reference text for researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational finance.
Clicar aqui para aceder a um recurso externo
ISBN 978-3-030-46347-2
Statistics
Econometrics
Social sciences
Financial engineering
LCC QA276-280
Time series in economics and finance [Documento eletrónico] / by Tomas Cipra. - Cham : Springer International Publishing : Springer , 2020 . - IX, 410 p. : il.. This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate time series methods, such as cointegration and recursive state space modeling. It also includes numerous practical examples to demonstrate the theory using real-world data, as well as exercises at the end of each chapter to aid understanding. This book serves as a reference text for researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational finance.
Clicar aqui para aceder a um recurso externo
ISBN 978-3-030-46347-2
Statistics
Econometrics
Social sciences
Financial engineering
LCC QA276-280
