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Predicting natural gas prices based on a novel hybrid model with variational mode decomposition

Lu, Qin; Liao, Jingwen; Chen, Kechi; Liang, Yanhui; Lin, Yu - In: Computational economics 63 (2024) 2, pp. 639-678

Persistent link: https://www.econbiz.de/10014472537

Nonlinearity in forecasting energy commodity prices : evidence from a focused time-delayed neural network

Bouteska, Ahmed; Hájek, Petr; Fisher, Ben; Abedin, … - In: Research in international business and finance 64 (2023), pp. 1-15

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Fusion von Expertenwissen und Daten mit Neuro-Fuzzy-Methoden zur Prognose von Finanzzeitreihen

Siekmann, Stefan - 1999

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Forecasting natural gas consumption using Bagging and modified regularization techniques

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Future natural gas price forecasting model and its policy implication

Ambya, Ambya; Gunarto, Toto; Hendrawaty, Ernie; … - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 5, pp. 64-70

Persistent link: https://www.econbiz.de/10012505591

Mixtures of t-distributions for finance and forecasting

Giacomini, Raffaella; Gottschling, Andreas; Häfke, … - 2007

Persistent link: https://www.econbiz.de/10003556381

Exchange rate model approximation, forecast and sensitivity analysis by neural networks, case of Iran

Pedram, Mehdi; Ebrahimi, Maryam - In: Inventi impact: microfinance & banking (2015) 1, pp. 25-38

Persistent link: https://www.econbiz.de/10010514052

Exchange rate model approximation, forecast and sensitivity analysis by neural networks, case of Iran

Pedram, Mehdi; Ebrahimi, Maryam - In: Business and Economic Research : BER 4 (2014) 2, pp. 49-62

Persistent link: https://www.econbiz.de/10011343873

Mixtures of t-distributions for finance and forecasting

Giacomini, Raffaella; Gottschling, Andreas; Häfke, … - 2007

We explore convenient analytic properties of distributions constructed as mixtures of scaled and shifted t-distributions. A feature that makes this family particularly desirable for econometric applications is that it possesses closed-form expressions for its anti-derivatives (e.g., the...

Persistent link: https://www.econbiz.de/10009735358

Finanzmarktprognosen mit neuronalen Netzen : Anforderungsprofil aus der praktischen Sicht eines Anwenders

Graf, Jürgen (contributor) - In: Finanzmarktanalyse und -prognose mit innovativen …, (pp. 121-143). 1996

Persistent link: https://www.econbiz.de/10001318069

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