has been cited by the following article(s):
[1]
|
A risk measurement study evaluating the impact of COVID-19 on China's financial market using the QR-SGED-EGARCH model
Annals of Operations Research,
2023
DOI:10.1007/s10479-023-05178-9
|
|
|
[2]
|
Estimating Value-at-Risk in the EURUSD Currency Cross from Implied Volatilities Using Machine Learning Methods and Quantile Regression
Journal of Risk and Financial Management,
2023
DOI:10.3390/jrfm16070312
|
|
|
[3]
|
A risk measurement study evaluating the impact of COVID-19 on China's financial market using the QR-SGED-EGARCH model
Annals of Operations Research,
2023
DOI:10.1007/s10479-023-05178-9
|
|
|
[4]
|
Forecasting earnings and returns: A review of recent advancements
The Journal of Finance and Data Science,
2022
DOI:10.1016/j.jfds.2022.04.004
|
|
|
[5]
|
Forecasting earnings and returns: A review of recent advancements
The Journal of Finance and Data Science,
2022
DOI:10.1016/j.jfds.2022.04.004
|
|
|
[6]
|
Quantile convolutional neural networks for Value at Risk forecasting
Machine Learning with Applications,
2021
DOI:10.1016/j.mlwa.2021.100096
|
|
|
[7]
|
Economic growth and carbon emissions: Estimation of a panel threshold model for the transition process in China
Journal of Cleaner Production,
2021
DOI:10.1016/j.jclepro.2020.123773
|
|
|
[8]
|
Analysis of Global CO2 Emissions: China’s Impacts by Two Stage Least Squares and Threshold Model
International Journal of Environmental Pollution and Remediation,
2020
DOI:10.11159/ijepr.2020.004
|
|
|