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~person:"Plakandaras, Vasilios"
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Search: subject:"support vector machines"
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Support Vector Machines
4
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Plakandaras, Vasilios
Gründler, Klaus
13
Krieger, Tommy
13
Rüping, Stefan
12
Papadimitriou, Theophilos
10
Schäfer, Dorothea
8
Gkonkas, Periklēs
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Moro, Rouslan A.
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Carrizosa, Emilio
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Härdle, Wolfgang
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Härdle, Wolfgang Karl
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Maldonado, Sebastián
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Aytug, Haldun
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Komarova, Tatiana
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COCIANU, Catalina
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Gogas, Periklis
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Groenen, Patrick
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Montoya, Ricardo
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Nyitrai, Tamás
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Richman, Michael
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STATE, Luminita
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Trafalis, Theodore
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Adrianto, Indra
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Ahdid, Rachid
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Aparicio, Juan
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Auria, Laura
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Chen, Wun-Hua
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Ciobanu, Dumitru
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Department of Economics, Democritus University of Thrace
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1
Forecasting credit ratings of EU banks
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
International Journal of Financial Studies
8
(
2020
)
3
,
pp. 1-15
Support
Vector
Machines
(SVM) models, given that the latter originates from the area of machine learning and is gaining …
Persistent link: https://www.econbiz.de/10013200296
Saved in:
2
Forecasting credit ratings of EU banks
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
International Journal of Financial Studies : open …
8
(
2020
)
3/49
,
pp. 1-15
Support
Vector
Machines
(SVM) models, given that the latter originates from the area of machine learning and is gaining …
Persistent link: https://www.econbiz.de/10012291875
Saved in:
3
Gold against the machine
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
Saved in:
4
A re-evaluation of the term spread as a leading indicator
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
International review of economics & finance : IREF
64
(
2019
),
pp. 476-492
Persistent link: https://www.econbiz.de/10012372831
Saved in:
5
Directional forecasting in financial time series using
support
vector
machines
: The USD/Euro exchange rate
Plakandaras, Vasilios
;
Papadimitriou, Theophilos
; …
-
Department of Economics, Democritus University of Thrace
-
2012
changes. Specifically, we feed an overcomplete variable set to a
Support
Vector
Machines
(SVM) model and refine it through a …
Persistent link: https://www.econbiz.de/10010840491
Saved in:
6
Forecasting the insolvency of US banks using
support
vector
machines
(SVMs) based on local learning feature selection
Papadimitriou, Theophilos
;
Gogas, Periklis
; …
- In:
International Journal of Computational Economics and …
3
(
2013
)
1/2
,
pp. 83-90
We propose a support vector machine (SVM)-based structural model to forecast the collapse of banking institutions in the USA using publicly disclosed information from their financial statements on a four-year rolling window. In our approach, the optimum input variable set is defined from a large...
Persistent link: https://www.econbiz.de/10010691732
Saved in:
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