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Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA
Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130
Persistent link: https://www.econbiz.de/10011455426
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Understanding spurious regression in financial economics
Deng, Ai - In: Journal of financial econometrics : official journal of … 12 (2014) 1, pp. 122-150
Persistent link: https://www.econbiz.de/10010233602
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Clustering financial time series : new insights from an extended hidden Markov model
Dias, José G.; Vermunt, Jeroen K.; Ramos, Sofia B. - In: European journal of operational research : EJOR 243 (2015) 3, pp. 852-864
Persistent link: https://www.econbiz.de/10010513848
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Exploiting financial news and social media opinions for stock market analysis using MCMC Bayesian inference
Maragoudakis, Manolis; Serpanos, Dimitrios N. - In: Computational economics 47 (2016) 4, pp. 589-622
Persistent link: https://www.econbiz.de/10011712481
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Ordinary shares, exotic methods : financial forecasting using data mining techniques
Tay, Francis Eng-Hock; Shen, Lixiang; Cao, Lijuan - 2003
Persistent link: https://www.econbiz.de/10001755308
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Mining stock market tendency using GA-based support vector machines
Yu, Lean; Wang, Shouyang; Lai, Kin Keung - In: Internet and network economics : first international …, (pp. 336-345). 2005
Persistent link: https://www.econbiz.de/10003276544
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Echtzeit-Bewertung von Optionen mit Marktpreisen durch Web-Mining und Neurosimulation
Bartels, Patrick - 2008 - 1. Aufl.
Persistent link: https://www.econbiz.de/10003699790
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Einsatz von Text Mining zur Prognose kurzfristiger Trends von Aktienkursen nach der Publikation von Unternehmensnachrichten
Mittermayer, Marc-André - 2006
Persistent link: https://www.econbiz.de/10003453220
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Using fuzzy multi-attribute data mining in stock market analysis for supporting investment decisions
Araque, Francisco; Salguero, Alberto; Carrasco, Ramon; … - In: Fuzzy engineering economics with applications, (pp. 289-306). 2008
Persistent link: https://www.econbiz.de/10003755099
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A Big Data Approach to Analyzing Market Volatility
Wu, Kesheng - 2014
Understanding the microstructure of the financial market requires the processing of a vast amount of data related to individual trades, and sometimes even multiple levels of quotes. Analyzing such a large volume of data requires tremendous computing power that is not easily available to...
Persistent link: https://www.econbiz.de/10013063786