Analysis Of Financial Data With Statistical Methods

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Darvishi, Adel | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47145 (02)
University: Sharif University of Technology
Department: Mathematical Sciences
Advisor(s): Moghaddasi, Reza
Abstract:
One of the important branches in machine learning is finding patterns and hidden features, which is useful for prediction and decision making in many cases. Finding patterns and features of financial data and particularly stock market data may play an important role in guidance, development and proper decision making related to such data sets. In this thesis, we focus on discovering and collecting appropriate methods in machine learning which can be helpful for gathering proper information from financial data and applying them on actual data
Keywords:
Machine Learning ; Forecasting ; Decision Making ; Burse ; Finantial Data

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