The role of high-frequency data in volatility forecasting: evidence from the China stock market
This research investigates the role of high-frequency data in volatility forecasting of the China stock market by particularly feeding different frequency return series directly into a large number of GARCH versions. The contributions of this research are as follows. 1) We provide clear evidence to...
Main Authors: | Liu, Min, Lee, Chien Chiang, Choo, Wei Chong |
---|---|
Format: | Article |
Language: | English |
Published: |
Routledge
2021
|
Online Access: | http://psasir.upm.edu.my/id/eprint/95616/1/The%20role%20of%20high-frequency%20data%20in%20volatility%20forecasting%3B%20evidence%20from%20the%20China%20stock%20market.pdf |
Similar Items
-
Trading volume and realized volatility forecasting: evidence from the China stock market
by: Liu, Min, et al.
Published: (2022) -
Role of high-frequency data, distribution assumption and trading volume in volatility forecasting in China stock market
by: Liu, Min
Published: (2021) -
Performance of GARCH models in forecasting stock market volatility.
by: Choo, Wei Chong, et al.
Published: (1999) -
Forecasting Malaysian stock market volatility
by: Ng, Chee Pung, et al.
Published: (2012) -
The role of implied volatility in volatility combining forecasts
by: Ho, Jen Sim, et al.
Published: (2024)