WK Li, S Ling, M McAleer - Journal of Economic Surveys, 2002 - Wiley Online Library
This paper provides a review of some recent theoretical results for time series models with GARCH errors, and is directed towards practitioners. Starting with the simple ARCH model …
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 …
TJ Fisher, CM Gallagher - Journal of the American Statistical …, 2012 - Taylor & Francis
We exploit ideas from high-dimensional data analysis to derive new portmanteau tests that are based on the trace of the square of the m th order autocorrelation matrix. The resulting …
R Van der Weide - Journal of Applied Econometrics, 2002 - Wiley Online Library
Multivariate GARCH specifications are typically determined by means of practical considerations such as the ease of estimation, which often results in a serious loss of …
The time-varying correlation between oil prices returns and European industrial sector indices returns, considering the origin of the oil price shock, is investigated. A time-varying …
Diagnostic checking is an important step in the modeling process. But while the literature on diagnostic checks is quite extensive and many texts on time series modeling are available, it …
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications …
We investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the New York Mercantile Exchange (West Texas Intermediate …