An experimental analysis of forecasting the high frequency data of matured and emerging economies stock index using data mining techniques

DOI10.1504/IJOR.2015.070143zbMath1362.62011MaRDI QIDQ2627607

Thamaraiselvan Natarajan, Senthil Arasu Balasubramanian, Janarthanan Balakrishnan, Jeevananthan Manickavasagam

Publication date: 31 May 2017

Published in: International Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

data mining high frequency data United States India support vector regression stock markets multivariate adaptive regression splines SVR USA emerging economies backpropagation neural networks Nasdaq BPNN intraday trading index value forecasting marsplines mature markets Nifty

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05)

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