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1
Forecasting
volatility
with time-varying leverage and
volatility
of
volatility
effects
Catania, Leopoldo
;
Proietti, Tommaso
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1301-1317
Persistent link: https://www.econbiz.de/10012546666
Saved in:
2
Trading and non-trading period realized market
volatility
: does it matter for forecasting the
volatility
of US stocks?
Lyócsa, Štefan
;
Todorova, Neda
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 628-645
Persistent link: https://www.econbiz.de/10012415313
Saved in:
3
Forecasting the variability of stock index returns with the multifractal random walk model for realized volatilities
Sattarhoff, Cristina
;
Lux, Thomas
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1678-1697
Persistent link: https://www.econbiz.de/10014465344
Saved in:
4
Forecasting crude oil price
volatility
Herrera, Ana María
;
Hu, Liang
;
Pastor, Daniel
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 622-635
Persistent link: https://www.econbiz.de/10012031060
Saved in:
5
Forecasting crude oil market
volatility
: a Markov switching multifractal
volatility
approach
Wang, Yudong
;
Wu, Chongfeng
;
Li, Yang
- In:
International journal of forecasting
32
(
2016
)
1
,
pp. 1-9
Persistent link: https://www.econbiz.de/10011596312
Saved in:
6
Dynamics of financial returns densities : a functional approach applied to the Bovespa intraday index
Horta, Eduardo
;
Ziegelmann, Flávio A.
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 75-88
Persistent link: https://www.econbiz.de/10012030843
Saved in:
7
DCC- and DECO-HEAVY : multivariate GARCH models based on realized variances and correlations
Bauwens, Luc
;
Xu, Yongdeng
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 938-955
Persistent link: https://www.econbiz.de/10014465168
Saved in:
8
Volatility
analysis for the GARCH-Itô-Jumps model based on high-frequency and low-frequency financial data
Fu, Jin-Yu
;
Lin, Jin-Guan
;
Hao, Hong-Xia
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1698-1712
Persistent link: https://www.econbiz.de/10014465345
Saved in:
9
Stock market
volatility
forecasting : do we need high-frequency data?
Lyócsa, Štefan
;
Molnár, Peter
;
Výrost, Tomáš
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1092-1110
Persistent link: https://www.econbiz.de/10012794812
Saved in:
10
A novel cluster HAR-type model for forecasting realized
volatility
Yao, Xingzhi
;
Izzeldin, Marwan
;
Li, Zhenxiong
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1318-1331
Persistent link: https://www.econbiz.de/10012305326
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