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  • Search: subject:"training algorithm"
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Year of publication
Subject
All
Algorithm 2 Algorithmus 2 Artificial intelligence 2 Deep learning 2 Forecasting model 2 Jakarta Islamic Index (JKII) 2 Künstliche Intelligenz 2 NARX neural network 2 NVivo 2 Neural networks 2 Neuronale Netze 2 Prognoseverfahren 2 Small and big data 2 Symmetric volatility information 2 Training algorithm 2 artificial intelligence 2 neural networks 2 stock market forecast 2 training algorithm 2 Aktienmarkt 1 Big Data 1 Big data 1 Börsenkurs 1 Learning process 1 Lernprozess 1 Share price 1 Stock market 1 Theorie 1 Theory 1 Volatility 1 Volatilität 1
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Online availability
All
Free 4 CC license 2
Type of publication
All
Article 4
Type of publication (narrower categories)
All
Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
All
English 4
Author
All
Chopra, Ritika 2 Ledhem, Mohammed Ayoub 2 Sharma, Gagan Deep 2
Published in...
All
Journal of Capital Markets Studies (JCMS) 1 Journal of Risk and Financial Management 1 Journal of capital markets studies 1 Journal of risk and financial management : JRFM 1
Source
All
ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
Cover Image
Deep learning with small and big data of symmetric volatility information for predicting daily accuracy improvement of JKII prices
Ledhem, Mohammed Ayoub - In: Journal of capital markets studies 6 (2022) 2, pp. 130-147
results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training … algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information …
Persistent link: https://www.econbiz.de/10013413441
Saved in:
Cover Image
Deep learning with small and big data of symmetric volatility information for predicting daily accuracy improvement of JKII prices
Ledhem, Mohammed Ayoub - In: Journal of Capital Markets Studies (JCMS) 6 (2022) 2, pp. 130-147
results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training … algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information …
Persistent link: https://www.econbiz.de/10015327872
Saved in:
Cover Image
Application of artificial intelligence in stock market forecasting: A critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of Risk and Financial Management 14 (2021) 11, pp. 1-34
-processing, artificial intelligence technique, training algorithm, and performance measure. Our findings highlight that AI techniques can be …
Persistent link: https://www.econbiz.de/10013201209
Saved in:
Cover Image
Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34
-processing, artificial intelligence technique, training algorithm, and performance measure. Our findings highlight that AI techniques can be …
Persistent link: https://www.econbiz.de/10012795264
Saved in:
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