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Deng, Ai - In: Journal of financial econometrics : official journal of … 12 (2014) 1, pp. 122-150

Persistent link: https://www.econbiz.de/10010233602

Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA

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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

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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

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

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Ordinary shares, exotic methods : financial forecasting using data mining techniques

Tay, Francis Eng-Hock; Shen, Lixiang; Cao, Lijuan - 2003

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Assessing the usefulness of daily and monthly asset-pricing factors for Australian equities

Gray, Philip K.; Zhong, Angel - In: Accounting and finance 62 (2022) 1, pp. 181-211

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Data mining in finance : advances in relational and hybrid methods

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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

Exploiting financial news and social media opinions for stock market analysis using MCMC Bayesian inference

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