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  • Search: subject:"Hybrid neural network"
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Year of publication
Subject
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Börsenkurs 2 Forecasting model 2 Neural networks 2 Neuronale Netze 2 Prognoseverfahren 2 Share price 2 Aktienmarkt 1 Algorithm 1 Algorithmus 1 Artificial Neural Networks 1 Bankruptcy 1 China 1 Credit scoring models 1 Default 1 Discrete particle swarm optimization 1 Electronic trading 1 Elektronisches Handelssystem 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Genetic algorithm 1 Heuristics 1 Heuristik 1 Hybrid neural network 1 Hybrid neural network models Expert Systems 1 Mathematical programming 1 Mathematische Optimierung 1 Particle swarm optimization 1 Rating Systems 1 Securities trading 1 Stock market 1 Stock price time series 1 Swarm intelligence 1 Technical analysis 1 Theorie 1 Theory 1 Time series analysis 1 Wertpapierhandel 1 Zeitreihenanalyse 1 high-frequency 1 hybrid neural network 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3
Author
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Falavigna, Greta 1 Jain, Sanjeev 1 Kumar, Gourav 1 Li, Chengyu 1 Qian, Guoqi 1 Shen, Luyi 1 Singh, Uday Pratap 1
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Institution
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Istituto di Ricerca sulla Crescita Economica Sostenibile (IRCrES), Consiglio Nazionale delle Ricerche 1
Published in...
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CERIS Working Paper 1 Computational economics 1 Econometrics : open access journal 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Online hybrid neural network for stock price prediction : a case study of high-frequency stock trading in the Chinese market
Li, Chengyu; Shen, Luyi; Qian, Guoqi - In: Econometrics : open access journal 11 (2023) 2, pp. 1-19
Time-series data, which exhibit a low signal-to-noise ratio, non-stationarity, and non-linearity, are commonly seen in high-frequency stock trading, where the objective is to increase the likelihood of profit by taking advantage of tiny discrepancies in prices and trading on them quickly and in...
Persistent link: https://www.econbiz.de/10014362600
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Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav; Singh, Uday Pratap; Jain, Sanjeev - In: Computational economics 60 (2022) 3, pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
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Models for Default Risk Analysis: Focus on Artificial Neural Networks, Model Comparisons, Hybrid Frameworks
Falavigna, Greta - Istituto di Ricerca sulla Crescita Economica … - 2006
During the last three decades various models have been proposed by the literature to predict the risk of bankruptcy and of firm insolvency. In this work there is a survey on the methodologies used by the author for the analysis of default risk, taking into account several approaches suggested by...
Persistent link: https://www.econbiz.de/10005752845
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