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~person:"McMillan, David G."
~subject:"Prognoseverfahren"
~type_genre:"Article in journal"
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Search: "Volatilität"
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McMillan, David G.
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ECONIS (ZBW)
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1
Do artificial neural networks provide improved volatility forecasts : evidence from Asian markets
Sahiner, Mehmet
;
McMillan, David G.
;
Kambouroudis, Dimos
- In:
Journal of economics and finance : JEF
47
(
2023
)
3
,
pp. 723-762
Persistent link: https://www.econbiz.de/10014380680
Saved in:
2
Do extreme range estimators improve realized volatility forecasts? : evidence from G7 Stock Markets
Korkusuz, Burak
;
Kambouroudis, Dimos
;
McMillan, David G.
- In:
Finance research letters
55
(
2023
)
2
,
pp. 1-7
Persistent link: https://www.econbiz.de/10014473523
Saved in:
3
Expected profitability, the 52-week high and the idiosyncratic volatility puzzle
Khasawneh, Maher
;
McMillan, David G.
;
Kambouroudis, Dimos
- In:
The European journal of finance
29
(
2023
)
14
,
pp. 1621-1648
Persistent link: https://www.econbiz.de/10014387954
Saved in:
4
Forecasting realised volatility : does the LASSO approach outperform HAR?
Ding, Yi
;
Kambouroudis, Dimos
;
McMillan, David G.
- In:
Journal of international financial markets, …
74
(
2021
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012803163
Saved in:
5
Explaining the stock-stock, bond-bond and stock-bond correlation across countries
McMillan, David G.
- In:
International journal of monetary economics and finance …
13
(
2020
)
5
,
pp. 429-445
Persistent link: https://www.econbiz.de/10012515166
Saved in:
6
Does VIX or volume improve GARCH volatility forecasts?
Kambouroudis, Dimos S.
;
McMillan, David G.
- In:
Applied economics
48
(
2016
)
13/15
,
pp. 1210-1228
Persistent link: https://www.econbiz.de/10011433080
Saved in:
7
Is there an ideal in-sample length for forecasting volatility?
Kambouroudis, Dimos S.
;
McMillan, David G.
- In:
Journal of international financial markets, …
37
(
2015
),
pp. 114-137
Persistent link: https://www.econbiz.de/10011475043
Saved in:
8
Does information help intra-day volatility forecasts?
McMillan, David G.
;
Quiroga García, Raquel
- In:
Journal of forecasting
32
(
2013
)
1
,
pp. 1-9
Persistent link: https://www.econbiz.de/10009758739
Saved in:
9
Does non-linearity help us understand, model and forecast UK stock and bond returns : evidence from the BEYR
McMillan, David G.
- In:
International review of applied economics
26
(
2012
)
1
,
pp. 125-143
Persistent link: https://www.econbiz.de/10009419538
Saved in:
10
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:
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