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Forecasting Value of Financial Instruments by Using Artificial Neural Networks and Linear Regression Models

Student: Serov Dmitrij

Supervisor: Andrey M. Silaev

Faculty: Faculty of Economics

Educational Programme: Bachelor

Year of Graduation: 2014

<p style="margin: 0px 0px 10px; text-align: justify; text-indent: 35.5px; font-size: 14px; font-family: 'Trebuchet MS';"><span style="letter-spacing: 0.0px">The main objective of the current paper is to build the artificial neural network (ANN) model, capable to help to earn money, trading on the Russian fund-market.</span></p><p style="margin: 0px 0px 10px; text-align: justify; text-indent: 35.5px; font-size: 14px; font-family: 'Trebuchet MS';"><span style="letter-spacing: 0.0px">The research work presents a broader theoretical basis of procedure of creating ANN model and shows the model, which can produce return as high as 25%.</span></p><p style="margin: 0px 0px 10px; text-align: justify; text-indent: 35.5px; font-size: 14px; font-family: 'Trebuchet MS';"><span style="letter-spacing: 0.0px">Furthermore, comparing the artificial neural network with the logit-model, the paper proves that the ANN shows more accurate result than alternative method.</span></p><p style="margin: 0px 0px 10px; text-align: justify; text-indent: 35.5px; font-size: 14px; font-family: 'Trebuchet MS';"><span style="letter-spacing: 0.0px">The end of the paper consists of the ways of using the ANN model (financial strategy).</span></p><div>&nbsp;</div>

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