Renminbi Exchange Rate Forecasting

Β· Β·
Β· Routledge
Π•-ΠΊΠ½ΠΈΠ³Π°
160
Π‘Ρ‚Ρ€Π°Π½ΠΈΡ†ΠΈ
Π‘ΠΎΠΎΠ΄Π²Π΅Ρ‚Π½Π°
ΠžΡ†Π΅Π½ΠΈΡ‚Π΅ ΠΈ Ρ€Π΅Ρ†Π΅Π½Π·ΠΈΠΈΡ‚Π΅ Π½Π΅ сС ΠΏΠΎΡ‚Π²Ρ€Π΄Π΅Π½ΠΈ Β Π”ΠΎΠ·Π½Π°Ρ˜Ρ‚Π΅ повСќС

Π—Π° Π΅-ΠΊΠ½ΠΈΠ³Π°Π²Π°

With the internationalization of Renminbi (RMB), the gradual liberalization of China's capital account and the recent reform of the RMB pricing mechanism, the RMB exchange rate has been volatile. This book examines how we can forecast exchange rate reliably. It explains how we can do so through a new methodology for exchange rate forecasting. The book also analyzes the dynamic relationship between exchange rate and the exchange rate data decomposition and integration, the domestic economic situation, the international economic situation and the public’s expectations and how these interactions would affect the exchange rate.

The book also explains why this comprehensive integrated approach is the best model for optimizing accuracy in exchange rate forecasting.

Π—Π° Π°Π²Ρ‚ΠΎΡ€ΠΎΡ‚

Yunjie Wei received her PhD degree in Management Science and Engineering at University of Chinese Academy of Sciences, China in 2017 and also received a PhD degree in Management Science at City University of Hong Kong in 2018. She is currently Assistant Professor at Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China. Her research interests include economic modeling, analysis and forecasting.

Shouyang Wang is currently Bairen Distinguished Professor of Management Science at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China and a Changjiang Chair Professor of Management Science and Engineering at the University of Chinese Academy of Sciences.

Kin Keung Lai is currently Distinguished Professor at the College of Economics, Shenzhen University, China and also Honorary Professor at the Department of Industrial and Manufacturing Systems Engineering, Hong Kong University, Hong Kong.

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