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~isPartOf:"Journal of forecasting"
~person:"McMillan, David G."
~person:"Shang, Han Lin"
~subject:"Estimation"
~subject:"Time series analysis"
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McMillan, David G.
Shang, Han Lin
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Daily FX volatility forecasts : can the GARCH (1,1) model be beaten using high-frequency data?
McMillan, David G.
;
Speight, Alan E. H.
- In:
Journal of forecasting
31
(
2012
)
4
,
pp. 330-343
Persistent link: https://www.econbiz.de/10009576375
Saved in:
2
A model sufficiency test using permutation entropy
Huang, Xin
;
Shang, Han Lin
;
Pitt, David C.
- In:
Journal of forecasting
41
(
2022
)
5
,
pp. 1017-1036
Persistent link: https://www.econbiz.de/10013287897
Saved in:
3
Forecasting stock returns : do commodity prices help?
Black, Angela J.
;
Klinkowska, Olga
;
McMillan, David G.
; …
- In:
Journal of forecasting
33
(
2014
)
8
,
pp. 627-639
Persistent link: https://www.econbiz.de/10011282841
Saved in:
4
Forecasting intraday S&P 500 index returns : a functional time series approach
Shang, Han Lin
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 741-755
Persistent link: https://www.econbiz.de/10011860709
Saved in:
5
Forecasting intraday financial time series with sieve bootstrapping and dynamic updating
Shang, Han Lin
;
Ji, Kaiying
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1973-1988
Persistent link: https://www.econbiz.de/10014432826
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