An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the …
Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline This book provides a comprehensive …
The theory and practice of time series analysis have developed rapidly since the appearance in 1970 of the seminal work of George EP Box and Gwilym M. Jenkins, Time …
The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal …
The theory and practice of time series analysis have developed rapidly since the appearance in 1970 of the seminal work of George EP Box and Gwilym M. Jenkins, Time …
T Teräsvirta, D Tjøstheim, CWJ Granger - 2010 - academic.oup.com
This book contains a up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary …
D Edelmann, K Fokianos… - International Statistical …, 2019 - Wiley Online Library
The concept of distance covariance/correlation was introduced recently to characterise dependence among vectors of random variables. We review some statistical aspects of …
In this paper, we introduce an asymptotic test procedure to assess the stability of volatilities and cross-volatilites of linear and nonlinear multivariate time series models. The test is very …
H Tong - Statistics and its Interface, 2011 - intlpress.com
This paper is a selective review of the development of the threshold model in time series analysis over the past 30 years or so. First, the review re-visits the motivation of the model …