World Economy Brief
Publications
World Economy Brief
To list
Exchange Rate Predictability Based on Market Sentiments
- Author Hyo Sang Kim, Eunjung Kang, Yuri Kim, Seongman Moon and Huisu Jang
- Series22-42
- Date2022-09-30
It is well-known that exchange rates are difficult to forecast using observed macro-fundamental variables. This discrepancy between economic theory and empirical results is called the Meese and Rogoff puzzle. The purpose of this study is to address this puzzle from a new approach. Rather than pursuing a linkage between macro-fundamentals and exchange rates, we focus on the market sentiment index as a factor that could possibly enhance exchange rate predictability. The analysis folds into three phases. First, we conducted an assessment of the traditional exchange rate predictability model, as well as the augmented traditional model incorporating the market sentiment index. Second, we predicted the exchange rate by applying the market sentiment index, based on the contrarian opinion investment strategy commonly used by foreign exchange dealers. Finally, we analyzed if the machine learning model incorporating both economic fundamentals and market sentiment index could enhance the predictability of the exchange rate.
File
-
Download
WEB 22-42(수정).pdf
(556.44KB / Download 917회)
공공저작물 자유이용허락 표시기준 (공공누리, KOGL) 제4유형
대외경제정책연구원의 본 공공저작물은 "공공누리 제4유형 : 출처표시 + 상업적 금지 + 변경금지” 조건에 따라 이용할 수 있습니다. 저작권정책 참조