Information Spillover Effect and Autoregressive Conditional Duration Models |
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| Author:
| Liu, Xiangli
Liu, Yanhui
Hong, Yongmiao
Wang, Shouyang |
| Series title: | Routledge Advances in Risk Management Ser. |
| ISBN: | 978-1-317-66764-3 |
| Publication Date: | Jul 2014 |
| Publisher: | Taylor & Francis Group
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| Imprint: | Routledge |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $49.95 |
Book Description:
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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 comovements 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...
More Description
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 comovements 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 comovements among different financial markets and financial market microstructure and to investors and regulation departments looking to improve their risk management.