Forecasting salmon market volatility using long short-term memory (LSTM)
Mikaella Zitti
| Year of publication: |
2024
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|---|---|
| Authors: | Zitti, Mikaella |
| Published in: |
Aquaculture economics & management : official journal of the International Association of Aquaculture Economics and Management. - London [u.a.] : Taylor & Francis, ISSN 1551-8663, ZDB-ID 2009823-6. - Vol. 28.2024, 1, p. 143-175
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| Subject: | LSTM | neural network | salmon market | volatility forecasting | volatility models | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Süßwasserfische | Freshwater fish | Neuronale Netze | Neural networks | Börsenkurs | Share price | ARCH-Modell | ARCH model | Theorie | Theory | Fischmarkt | Fish market |
| Description of contents: | Description [doi.org] |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/13657305.2023.2255346 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015053133