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Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange

Author:
Javad Zahedi
,
Mohammad Mahdi Rounaghi
Year
: 2015
DOI: 10.1016/j.physa.2015.06.033
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1869711
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    Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange

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contributor authorJavad Zahedi
contributor authorMohammad Mahdi Rounaghi
date accessioned2020-03-15T06:29:51Z
date available2020-03-15T06:29:51Z
date issued2015
identifier otherFyE1eQhLNbBx1TlTEO7JqrCOQsZfVHmmITPlCp1AJsn_TfZbJb.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1869711?locale-attribute=en
formatgeneral
languageEnglish
titleApplication of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid13149912
identifier doi10.1016/j.physa.2015.06.033
journal titlePhysica A: Statistical Mechanics and its Applications
coverageAcademic
pages178-187
journal volume438
filesize608013
citations2
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