Can ESG improve the predictability of high-frequency volatility in the foreign exchange market?-A new high-frequency volatility model with long memory and asymmetry

被引:0
|
作者
Liu, Junjie [1 ]
Chen, Zhenlong [1 ]
机构
[1] Zhejiang Gongshang Univ, Sch Stat & Math, 18 Xuezheng St, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Realized EGARCH-MIDAS-ESG model; long memory; asymmetry effects; high-frequency volatility forecasting; exchange rate volatility;
D O I
10.1080/13504851.2025.2462709
中图分类号
F [经济];
学科分类号
02 ;
摘要
Amid the widespread promotion of the ESG concept, this study seeks to examine the influence of ESG on high-frequency exchange rate volatility forecasting. Considering the extensive utilization of intraday information fin volatility models, along with the asymmetry effect and long-memory characteristics of the asymmetry volatility forecasting, and robustness tests, we demonstrate that integrating ESG into high-frequency volatility models significantly improves exchange market volatility forecasting. This research contributes to advancing theoretical understanding of Realized-GARCH-type volatility models and offers new insights into the impact of ESG on foreign exchange market volatility forecasting.
引用
收藏
页数:7
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