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~subject:"Forecasting model"
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Are RiskMetrics forecasts good...
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Forecasting model
Capital income
101
Kapitaleinkommen
101
Prognoseverfahren
90
Börsenkurs
81
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81
Volatility
69
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69
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49
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47
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English
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McMillan, David G.
89
Guidolin, Massimo
9
Hyde, Stuart
8
Ono, Sadayuki
8
Kambouroudis, Dimos
6
Kambouroudis, Dimos S
5
Wohar, Mark E.
5
Black, Angela J.
4
McMillan, Fiona J.
4
Speight, Alan E. H.
4
Ding, Yi
3
Klinkowska, Olga
3
Ziadat, Salem Adel
3
Kambouroudis, Dimos S.
2
Korkusuz, Burak
2
Sahiner, Mehmet
2
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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Applied financial economics
5
Journal of forecasting
4
International journal of finance & economics : IJFE
3
International review of financial analysis
3
Journal of international financial markets, institutions & money
3
Finance research letters
2
International journal of forecasting
2
International review of applied economics
2
Oxford bulletin of economics and statistics
2
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2
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1
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1
Manchester Business School Research Paper
1
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1
Quantitative finance
1
Quantitative finance and economics
1
Recent advances in estimating nonlinear models : with applications in economics and finance
1
Research in international business and finance
1
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1
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1
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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
Left-tail risk and UK stock return predictability : underreaction, overreaction, and arbitrage difficulties
Khasawneh, Maher
;
McMillan, David G.
;
Kambouroudis, Dimos
- In:
International review of financial analysis
95
(
2024
)
1
,
pp. 1-25
Persistent link: https://www.econbiz.de/10015145283
Saved in:
3
Are RiskMetrics forecasts good enough? : evidence from 31 stock markets
McMillan, David G.
;
Kambouroudis, Dimos
- In:
International review of financial analysis
18
(
2009
)
3
,
pp. 117-124
Persistent link: https://www.econbiz.de/10003880020
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
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:
6
Cross-border exchanges and volatility forecasting
Goyal, Abhinav
;
Kallinterakis, Vasileios
;
Kambouroudis, …
- In:
Quantitative finance
18
(
2018
)
5
,
pp. 789-799
Persistent link: https://www.econbiz.de/10011907940
Saved in:
7
Nonlinear predictability of short-run deviations in UK stock market return
McMillan, David G.
- In:
Economics letters
84
(
2004
)
2
,
pp. 149-154
Persistent link: https://www.econbiz.de/10002116187
Saved in:
8
Non-linear predictability of UK stock market returns
McMillan, David G.
- In:
Oxford bulletin of economics and statistics
65
(
2003
)
5
,
pp. 557-573
Persistent link: https://www.econbiz.de/10001839532
Saved in:
9
Non-linear dynamics in international stock market returns
McMillan, David G.
- In:
Review of financial economics : RFE
14
(
2005
)
1
,
pp. 81-91
Persistent link: https://www.econbiz.de/10002524259
Saved in:
10
Level-shifts and non-linearity in US financial ratios : implications for returns predictability and the present value model
McMillan, David G.
- In:
Review of accounting & finance
9
(
2010
)
2
,
pp. 189-207
Persistent link: https://www.econbiz.de/10003991054
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