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Wykorzystanie instrumentów finansowych jako źródło dywersyfikacji przychodu przedsiębiorstw

100%
Jóźwicki R.
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
|
2018
|
vol. 52
|
issue 1
EN
Economic activity of each entity requires making decisions how to engage their resources in order to maximize their benefits. One of the strategy in this regard is to diversify sources of income. The paper analyzes the degree of the financial involvement of the selected industrial companies, listed on the Polish stock market in the long and short-term financial assets. The analysis covers the period 2010–2014. The results indicate that companies apply different strategies and the involvement some of them in the financial assets is important from the point of view of the size of their assets.
PL
Działalność gospodarcza każdego podmiotu wymaga podejmowania decyzji dotyczących tego, w jaki sposób angażować posiadane zasoby, aby maksymalizować swoje korzyści. Jedną ze strategii w tym zakresie jest dywersyfikacja źródeł przychodu. W artykule dokonano analizy, w jakim rozmiarze wybrane spółki przemysłowe, notowane na polskim rynku giełdowym, angażują swoje środki w długo- i krótkoterminowe aktywa finansowe. Analiza obejmuje lata 2010–2014. Uzyskane wyniki wskazują na to, że przedsiębiorstwa stosują w omawianym zakresie odmienne strategie, a zaangażowanie niektórych z nich w aktywa finansowe jest istotne z punktu widzenia rozmiaru ich aktywów.
2
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Algorithmic Trading and Efficiency of the Stock Market in Poland

51%
Jóźwicki R., Trippner P., Kłos K.
Finanse i Prawo Finansowe
|
2021
|
vol. 2
|
issue 30
75-85
EN
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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