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Zastosowanie drapieżnych strategii w handlu o wysokiej częstotliwości

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Lenczewski Martins C. J.
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
|
2017
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vol. 51
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issue 4
EN
The development of High-Frequency Trading since the 1990s has been so dynamic, that one may say it certainly will be present in every country, sooner or later. Most of the research dedicated to High-Frequency Trading is dedicated to show how detrimental it may be to the financial system, other present business models and integration with other entities of the financial market, some try to research how profitable this type of trading may be, and finally some research is dedicated to the risk analysis – although these papers are very limited. This paper is aimed to expand the topic of business models by showing selected strategies of High-Frequency Trading. This is very important since these strategies may be also implemented in conditions of lower liquidity and have a direct influence on the stability of large institutions.
PL
Rozwój handlu o wysokiej częstotliwości, który powstał w latach 90. XX w., jest tak dynamiczny, że można stwierdzić, iż z pewnością będzie obecny w każdym kraju. Większość opracowań poświęconych handlowi o wysokiej częstotliwości można podzielić na: starające się wykazać, jak szkodliwy jest on dla systemu finansowego; opisujące modele biznesowe i współdziałanie z pozostałymi podmiotami rynku finansowego; wykazujące opłacalność handlu i podmiotów stosujących ten rodzaj handlu; poświęcone zagadnieniom zarządzania ryzykiem transakcji o wysokiej częstotliwości, chociaż ich liczba jest bardzo ograniczona. Niniejsze opracowanie ma na celu rozwijać zagadnienia związane z modelami biznesowymi, omawiając wybrane drapieżne techniki w handlu o wysokiej częstotliwości. Jest to dość istotne, ponieważ mogą one być zastosowane w warunkach o niskiej płynności oraz mogą wpływać bezpośrednio na działalność i stabilność pojedynczych, a także znaczących instytucji finansowych.
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The role of automation in financial trading companies

100%
Lenczewski Martins C. J.
Journal of Management and Financial Sciences
|
2019
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issue 39
29-42
EN
High Frequency Trading (HFT) has significantly affected the financial market - how trade is performed, types of employees hired, technology, or even market regulations. There are arguments that important risks arrive from trade automation, especially with the use of ultra-low latency trading systems. It also gives a possibility of achieving (higher) returns more quickly with less residual losses, i.e. algorithms may lead to a lower risk of exposure than traditional ‘human' traders. A higher level of automation in trading companies is a reality, which brings important management issues. The rise in competition between algo-traders has led to the rise of the so-called Quant 2.0: the rebirth of complex algorithms and artificial intelligence to collect, extract and process information available from any source of information. im of this article is, through a literature review, to present the main issues concerning automation in financial trading companies, and how the highly probable introduction of the Blockchain technology may affect HFT and the financial market - either the general market design, or specifically, how trading is performed.
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