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.

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Yes, you can access Information Spillover Effect and Autoregressive Conditional Duration Models by Xiangli Liu,Yanhui Liu,Yongmiao Hong,Shouyang Wang in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Routledge

Year

2014

ISBN

9781317667650

Edition

Topic

Business

Subtopic

Business General

Index

Business

Cover
Half Title
Title Page
Copyright Page
Table of Contents
List of figures
List of tables
Preface
1 Introduction
2 Methodology to detect extreme risk spillover
3 VaR estimation
4 Extreme risk spillover between Chinese stock markets and international stock markets
5 Information spillover effects between Chinese futures market and spot market
6 How well can autoregressive duration models capture the price durations dynamics of foreign exchanges?
7 Intraday effect
8 Conclusions and perspective studies
Appendix: mathematical proof
Bibliography
Index