This diploma thesis aims at assessing stock market efficiency using seventeen shares and stock index S&P 500 which represents whole market. Selected shares were traded using several tools from technical analysis from 2012 to 2016. Trading is based on buy / sell signals. These signals were generated by 38 automatic trading strategies, created from crossing rates and sliding averages, by crossing two different sliding averages and based on technical indicators MACD, RSD and Momentum. Theoretical part of this work is dedicated to capital market, stock market efficiency assessment, shares and different types of analysis, mainly to technical. Results of stock market efficiency assessment of finances when trading all tested strategies can be found in the practical part. Random movements of rates were proven, this implies that market is slightly effective. Best trading strategy cannot be determined, because there are too many factors influencing results. Passive strategy achieved better profit. According to complete average results, MACD a 50+200EMA has highest success rate. Least appropriate strategies were MACD+SL and RSI_30+70_2. The worst shares for active trading were EBS and MRK, best LCI, ABC and VRX.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:376006 |
| Date | January 2018 |
| Creators | KASANDA, Jan |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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