Forecasting the chinese stock market volatility with G7 stock market volatilities : a scaled PCA approach
Year of publication: |
2022
|
---|---|
Authors: | Yi, Yongsheng ; Zhang, Yaojie ; Xiao, Jihong ; Wang, Xunxiao |
Subject: | Chinese stock market | G7 stock markets | heterogeneous autoregressive | realized volatility | Scaled principal component analysis | Volatilität | Volatility | Aktienmarkt | Stock market | China | Prognoseverfahren | Forecasting model | Börsenkurs | Share price | Schätzung | Estimation | Hauptkomponentenanalyse | Principal component analysis |
-
Forecasting the U.S. stock volatility : an aligned jump index from G7 stock markets
Ma, Feng, (2019)
-
Liang, Chao, (2020)
-
Forecasting Chinese stock market volatility with economic variables
Cai, Weixian, (2017)
- More ...
-
Interest rate level and stock return predictability
Yi, Yongsheng, (2019)
-
Out-of-sample prediction of Bitcoin realized volatility : do other cryptocurrencies help?
Yi, Yongsheng, (2022)
-
Forecasting the prices of crude oil using the predictor, economic and combined constraints
Yi, Yongsheng, (2018)
- More ...