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type_genre:"Arbeitspapier"
type_genre:"Series"
~isPartOf:"International finance discussion papers"
~isPartOf:"Working papers"
~subject:"Prognoseverfahren"
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Ślepaczuk, Robert
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1
How stable and predictable are welfare estimates using recreation demand models?
Lloyd-Smith, Patrick
;
Zawojska, Ewa
-
2024
Persistent link: https://www.econbiz.de/10014507825
Saved in:
2
Modeling and evaluating conditional quantile dynamics in VaR forecasts
Cipollini, Fabrizio
;
Gallo, Giampiero M.
;
Palandri, …
-
2023
-
Prima edizione
Persistent link: https://www.econbiz.de/10014321854
Saved in:
3
Optimal markowitz portfolio using returns forecasted with time series and machine learning models
Ślusarczyk, Damian
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014446491
Saved in:
4
Ensembling ARIMAX model in algorithmic investment strategies on commodities market
Jakubowski, Paweł
;
Ślepaczuk, Robert
;
Windorbski, …
-
2023
Persistent link: https://www.econbiz.de/10014448210
Saved in:
5
Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
;
Sakowski, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448222
Saved in:
6
Hedging properties of algorithmic investment strategies using long short-term memory and time series models for equity indices
Michańków, Jakub
;
Sakowsk, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448237
Saved in:
7
Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models
Teymurzade, Sahil
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448266
Saved in:
8
How well can experts predict farmers' choices in risky gambles?
Schaak, Henning
;
Rommel, Jens
;
Sagebiel, Julian
; …
-
2023
Persistent link: https://www.econbiz.de/10014305725
Saved in:
9
The performance of time series forecasting based on classical and machine learning methods for S&P 500 index
Uzzal, Maudud Hassan
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014305886
Saved in:
10
Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014308890
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