State detection in a financial portfolio: a self-organizing maps approach for financial time series

This study analyses financial data using the result characterization of a self-organized neural network model. The goal was prototyping a tool that may help an economist or a market analyst to analyse stock market series. To reach this goal, the tool shows economic dependencies and statistics measur...

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Bibliographic Details
Main Author: Matos, Diogo Manuel Pires de (author)
Format: masterThesis
Language:eng
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10362/14157
Country:Portugal
Oai:oai:run.unl.pt:10362/14157