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~isPartOf:"Journal of international financial markets, institutions & money"
~language:"bul"
~language:"eng"
~person:"McMillan, David G."
~subject:"ARCH-Modell"
~subject:"Börsenkurs"
~subject:"Dividend"
~subject:"In-sample"
~subject:"Volatility"
~type_genre:"Amtsdruckschrift"
~type_genre:"Article in journal"
~type_genre:"Bibliografie"
~type_genre:"Bibliographie enthalten"
~type_genre:"Conference paper"
~type_genre:"Graue Literatur"
~type_genre:"Konferenzbeitrag"
~type_genre:"Ratgeber"
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ARCH-Modell
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McMillan, David G.
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Journal of international financial markets, institutions & money
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11
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ECONIS (ZBW)
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1
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:
2
Does feedback trading drive returns of cross-listed shares?
Chen, Jing
;
Dong, Yizhe
;
Hou, Wenxuan
;
McMillan, David G.
- In:
Journal of international financial markets, …
53
(
2018
),
pp. 179-199
Persistent link: https://www.econbiz.de/10011983852
Saved in:
3
The interaction between risk, return-risk trade-off and complexity: Evidence and policy implications for US bank holding companies
McMillan, David G.
;
McMillan, Fiona J.
- In:
Journal of international financial markets, …
47
(
2017
),
pp. 103-113
Persistent link: https://www.econbiz.de/10011892256
Saved in:
4
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:
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