Harnessing the decomposed realized measures for volatility forecasting : evidence from the US stock market
Year of publication: |
2021
|
---|---|
Authors: | Lu, Botao ; Ma, Feng ; Wang, Jiqian ; Ding, Hui ; Wahab, M. I. M. |
Published in: |
International review of economics & finance : IREF. - Amsterdam [u.a.] : Elsevier, ISSN 1059-0560, ZDB-ID 1137476-7. - Vol. 72.2021, p. 672-689
|
Subject: | Decomposed realized measures | MIDAS model | The US stock market | Volatility forecasting | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Aktienmarkt | Stock market | USA | United States | Messung | Measurement | Börsenkurs | Share price |
-
The role of oil futures intraday information on predicting US stock market volatility
Tang, Yusui, (2021)
-
Forecasting the U.S. stock volatility : an aligned jump index from G7 stock markets
Ma, Feng, (2019)
-
Chen, Yixiang, (2019)
- More ...
-
Stock market volatility predictability in a data-rich world : a new insight
Ma, Feng, (2023)
-
Lang, Qiaoqi, (2021)
-
Lang, Qiaoqi, (2023)
- More ...