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  • Search: subject:"Ensemble techniques"
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Year of publication
Subject
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Indian banks 2 ensemble techniques 2 machine learning 2 stock prediction 2 Artificial intelligence 1 Bank 1 Capital income 1 Capital market returns 1 Forecasting model 1 India 1 Indien 1 Kapitaleinkommen 1 Kapitalmarktrendite 1 Künstliche Intelligenz 1 Prognoseverfahren 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Mohapatra, Sabyasachi 2 Mukherjee, Rohan 2 Puniyani, Amit 2 Roy, Arindam 2 Sengupta, Anirban 2
Published in...
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Journal of Risk and Financial Management 1 Journal of risk and financial management : JRFM 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Can ensemble machine learning methods predict stock returns for Indian banks using technical indicators?
Mohapatra, Sabyasachi; Mukherjee, Rohan; Roy, Arindam; … - In: Journal of Risk and Financial Management 15 (2022) 8, pp. 1-16
This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using technical indicators. These indicators are based on three broad categories of technical analysis: Price, Volume, and...
Persistent link: https://www.econbiz.de/10014332551
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Cover Image
Can ensemble machine learning methods predict stock returns for Indian banks using technical indicators?
Mohapatra, Sabyasachi; Mukherjee, Rohan; Roy, Arindam; … - In: Journal of risk and financial management : JRFM 15 (2022) 8, pp. 1-16
This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using technical indicators. These indicators are based on three broad categories of technical analysis: Price, Volume, and...
Persistent link: https://www.econbiz.de/10013380477
Saved in:
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