
Chinese Currency Exchange Rates Analysis
Risk Management, Forecasting and Hedging Strategies
Routledge (Publisher)
1st Edition
Published on 30. June 2020
Book
Paperback/Softback
98 pages
978-0-367-60733-3 (ISBN)
Description
This book provides an overview of Chinese RMB exchange markets and its risk management strategies. The view that RMB is playing an increasingly international role has been widely accepted by practitioners as well as scholars worldwide. Moreover, the Chinese government is opening the control of RMB exchange market step by step. However, some related topics are under heated debate, such as how to manage and warn of the currency crisis, what the trend of RMB exchange rate in the future is, and how to hedge the exchange risk in the process of RMB internationalization. In this book, we will give distinct answers to the above questions.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate and Undergraduate
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 6 mm
Weight
152 gr
ISBN-13
978-0-367-60733-3 (9780367607333)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jiangze Du | Jying-Nan Wang | Kin Keung Lai
Chinese Currency Exchange Rates Analysis
Risk Management, Forecasting and Hedging Strategies
Book
09/2017
1st Edition
Routledge
€77.10
Shipment within 10-20 days

Jiangze Du | Jying-Nan Wang | Kin Keung Lai
Chinese Currency Exchange Rates Analysis
Risk Management, Forecasting and Hedging Strategies
E-Book
09/2017
Routledge
€32.99
Available for download

Jiangze Du | Jying-Nan Wang | Kin Keung Lai
Chinese Currency Exchange Rates Analysis
Risk Management, Forecasting and Hedging Strategies
E-Book
09/2017
Routledge
€32.99
Available for download
Persons
Jiangze Du is currently Assistant Professor of Jiangxi University of Finance and Economics in China. He obtained his PhD degree in Management Sciences from City University of Hong Kong in 2015. He specializes in financial time series analysis and financial risk management.
Jying-Nan Wang is currently Professor of Chongqing University of Posts and Telecommunications in China. He obtained his PhD degree in Graduate School of Management, Yuan Ze University in 2008. Dr. Wang's research interests are in market microstructure, volatility estimation, and risk management.
Kin Keung Lai received his PhD at Michigan State University, USA. He is currently the Chair Professor of Management Science at the City University of Hong Kong. Professor Lai's main areas of research are operations and supply chain management, financial and business risk analysis.
Chao Wang is currently a Ph.D. candidate in Department of Management Sciences at City University of Hong Kong. He received his Master Degree of from Texas A&M University, USA. Chao Wang's main research areas are financial time series analysis and financial risk management.
Jying-Nan Wang is currently Professor of Chongqing University of Posts and Telecommunications in China. He obtained his PhD degree in Graduate School of Management, Yuan Ze University in 2008. Dr. Wang's research interests are in market microstructure, volatility estimation, and risk management.
Kin Keung Lai received his PhD at Michigan State University, USA. He is currently the Chair Professor of Management Science at the City University of Hong Kong. Professor Lai's main areas of research are operations and supply chain management, financial and business risk analysis.
Chao Wang is currently a Ph.D. candidate in Department of Management Sciences at City University of Hong Kong. He received his Master Degree of from Texas A&M University, USA. Chao Wang's main research areas are financial time series analysis and financial risk management.
Author
Jiangxi University of Finance and Economics, China
Fo Guang University, Taiwan
Shaanxi Normal University, China
City University of Hong Kong, Hong Kong
Content
1. Chinese Currency Exchange Market: An Overview
2. Inter-relationship Between RMB Markets
3. Chinese Exchange Market Crisis Warning and Identification Based on Markov Regime Switching Model
4. Forecasting Renminbi Exchange Rate with EMD-based Neural Network
5. Hedge the Currency Risk
2. Inter-relationship Between RMB Markets
3. Chinese Exchange Market Crisis Warning and Identification Based on Markov Regime Switching Model
4. Forecasting Renminbi Exchange Rate with EMD-based Neural Network
5. Hedge the Currency Risk