Algorithmic Trading and Efficiency of the Stock Market in Poland

The aim of the article is to investigate the impact of algorithmic trading on the returns obtained in the context of market efficiency theory. The research hypothesis is that algorithmic trading can contribute to a better rate of return than when using passive investment strategies. Technological pr...

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Main Authors: Rafał Jóźwicki, Paweł Trippner, Karolina Kłos
Format: Article
Language:deu
Published: Lodz University Press 2021-06-01
Series:Finanse i Prawo Finansowe
Subjects:
Online Access:https://czasopisma.uni.lodz.pl/fipf/article/view/10048
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author Rafał Jóźwicki
Paweł Trippner
Karolina Kłos
author_facet Rafał Jóźwicki
Paweł Trippner
Karolina Kłos
author_sort Rafał Jóźwicki
collection DOAJ
description The aim of the article is to investigate the impact of algorithmic trading on the returns obtained in the context of market efficiency theory. The research hypothesis is that algorithmic trading can contribute to a better rate of return than when using passive investment strategies. Technological progress can be observed in many different aspects of our lives, including investing in capital markets where we can see changes resulting from the spread of new technologies. The methodology used in this paper consists in confronting a sample trading system based on classical technical analysis tools with a control strategy consisting in buying securities at the beginning of the test period and holding them until the end of this period. The results obtained confirm the validity of the theory of information efficiency of the capital market, as the active investment strategy based on algorithmic trading did not yield better results than the control strategy.
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spelling doaj.art-85ee378b5a524ed2bf6ee8b3f2a69e642022-12-21T22:39:47ZdeuLodz University PressFinanse i Prawo Finansowe2391-64782353-56012021-06-01230758510.18778/2391-6478.2.30.059947Algorithmic Trading and Efficiency of the Stock Market in PolandRafał Jóźwicki0https://orcid.org/0000-0002-4346-4046Paweł Trippner1https://orcid.org/0000-0003-1060-517XKarolina Kłos2University of Lodz, Institute of FinanceUniversity of Social Sciences, Institute of FinanceOwner of Finance and Insurance CenterThe aim of the article is to investigate the impact of algorithmic trading on the returns obtained in the context of market efficiency theory. The research hypothesis is that algorithmic trading can contribute to a better rate of return than when using passive investment strategies. Technological progress can be observed in many different aspects of our lives, including investing in capital markets where we can see changes resulting from the spread of new technologies. The methodology used in this paper consists in confronting a sample trading system based on classical technical analysis tools with a control strategy consisting in buying securities at the beginning of the test period and holding them until the end of this period. The results obtained confirm the validity of the theory of information efficiency of the capital market, as the active investment strategy based on algorithmic trading did not yield better results than the control strategy.https://czasopisma.uni.lodz.pl/fipf/article/view/10048algorithmic tradingmarket efficiencytrading systeminvestingtechnical analysis
spellingShingle Rafał Jóźwicki
Paweł Trippner
Karolina Kłos
Algorithmic Trading and Efficiency of the Stock Market in Poland
Finanse i Prawo Finansowe
algorithmic trading
market efficiency
trading system
investing
technical analysis
title Algorithmic Trading and Efficiency of the Stock Market in Poland
title_full Algorithmic Trading and Efficiency of the Stock Market in Poland
title_fullStr Algorithmic Trading and Efficiency of the Stock Market in Poland
title_full_unstemmed Algorithmic Trading and Efficiency of the Stock Market in Poland
title_short Algorithmic Trading and Efficiency of the Stock Market in Poland
title_sort algorithmic trading and efficiency of the stock market in poland
topic algorithmic trading
market efficiency
trading system
investing
technical analysis
url https://czasopisma.uni.lodz.pl/fipf/article/view/10048
work_keys_str_mv AT rafałjozwicki algorithmictradingandefficiencyofthestockmarketinpoland
AT pawełtrippner algorithmictradingandefficiencyofthestockmarketinpoland
AT karolinakłos algorithmictradingandefficiencyofthestockmarketinpoland