Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/146608Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | António Bessa Gomes Fernandes | |
| dc.date.accessioned | 2025-11-13T11:45:41Z | - |
| dc.date.available | 2025-11-13T11:45:41Z | - |
| dc.date.issued | 2022-07-29 | |
| dc.date.submitted | 2022-07-05 | |
| dc.identifier.other | sigarra:597048 | |
| dc.identifier.uri | https://hdl.handle.net/10216/146608 | - |
| dc.description | For my dissertation, I propose to study the ability of technical analysis to predict price movements in the stock market by conducting a research that aims to investigate the potential profit of bull flag technical trading rules using a template matching technique, in contrast to the market average returns for the emerging stock markets of Brazil and China - Brazil Stock Market Index (BOVESPA) and the Shanghai Stock Exchange Composite Index (SSE), respectively, for a time horizon of 31 years (1990 - 2021). | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Economia e gestão | |
| dc.subject | Economics and Business | |
| dc.title | Stock market trading rule discovery using technical analysis and a template matching technique for pattern recognition | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Economia | |
| dc.identifier.doi | 10.34626/exgh-8p40 | |
| dc.identifier.tid | 203255976 | |
| dc.subject.fos | Ciências sociais::Economia e gestão | |
| dc.subject.fos | Social sciences::Economics and Business | |
| thesis.degree.discipline | Mestrado em Finanças | |
| thesis.degree.grantor | Faculdade de Economia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 597048.pdf | Stock market trading rule discovery using technical analysis and a template matching technique for pattern recognition | 1.05 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
