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Information Spillover Effect and Autoregressive Conditional Duration Models (Routledge Advances in Risk Management)
Xiangli Liu Yanhui Liu Yongmiao Hong Shouyang Wang (Author)
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Routledge
· Hardcover
Information Spillover Effect and Autoregressive Conditional Duration Models (Routledge Advances in Risk Management) - Xiangli Liu Yanhui Liu Yongmiao Hong Shouyang Wang
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Synopsis "Information Spillover Effect and Autoregressive Conditional Duration Models (Routledge Advances in Risk Management)"
This book studies the information spillover among financial markets and explores the intraday effect and ACD models with high frequency data. This book also contributes theoretically by providing a new statistical methodology with comparative advantages for analyzing co-movements between two time series. It explores this new method by testing the information spillover between the Chinese stock market and the international market, futures market and spot market. Using the high frequency data, this book investigates the intraday effect and examines which type of ACD model is particularly suited in capturing financial duration dynamics. The book will be of invaluable use to scholars and graduate students interested in co-movements among different financial markets and financial market microstructure and to investors and regulation departments looking to improve their risk management.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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