CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION
The article deals with the conceptual approaches to the High Frequency Trading identification in order to allocate set of features that enable to separate High Frequency Trading from other forms of exchange activities. At today's exchange trading HFT has a special role, however, it has not yet...
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Plekhanov Russian University of Economics
2017
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oai:doaj.org-article:b65b072b84e743eca8d1d071030bb0a62021-11-15T05:20:45ZCONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION2413-28292587-925110.21686/2413-2829-2017-3-66-74https://doaj.org/article/b65b072b84e743eca8d1d071030bb0a62017-09-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/294https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251The article deals with the conceptual approaches to the High Frequency Trading identification in order to allocate set of features that enable to separate High Frequency Trading from other forms of exchange activities. At today's exchange trading HFT has a special role, however, it has not yet developed a unified approach to its identification. This is due not only to the complexity of the analysis of big data, but also with a variety of conditions in which operate HFT-robots. Developed a classification features for the purpose of a full characteristics High Frequency Trading from different sides.Ruslan R. IskyandyarovPlekhanov Russian University of Economicsarticlehigh frequency tradeexchangerobotsalgorithmEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 3, Pp 66-74 (2017) |
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DOAJ |
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DOAJ |
| language |
RU |
| topic |
high frequency trade exchange robots algorithm Economics as a science HB71-74 |
| spellingShingle |
high frequency trade exchange robots algorithm Economics as a science HB71-74 Ruslan R. Iskyandyarov CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| description |
The article deals with the conceptual approaches to the High Frequency Trading identification in order to allocate set of features that enable to separate High Frequency Trading from other forms of exchange activities. At today's exchange trading HFT has a special role, however, it has not yet developed a unified approach to its identification. This is due not only to the complexity of the analysis of big data, but also with a variety of conditions in which operate HFT-robots. Developed a classification features for the purpose of a full characteristics High Frequency Trading from different sides. |
| format |
article |
| author |
Ruslan R. Iskyandyarov |
| author_facet |
Ruslan R. Iskyandyarov |
| author_sort |
Ruslan R. Iskyandyarov |
| title |
CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| title_short |
CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| title_full |
CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| title_fullStr |
CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| title_full_unstemmed |
CONCEPTUAL APPROACHES TO HIGH-FREQUENCY TRADING IDENTIFICATION |
| title_sort |
conceptual approaches to high-frequency trading identification |
| publisher |
Plekhanov Russian University of Economics |
| publishDate |
2017 |
| url |
https://doaj.org/article/b65b072b84e743eca8d1d071030bb0a6 |
| work_keys_str_mv |
AT ruslanriskyandyarov conceptualapproachestohighfrequencytradingidentification |
| _version_ |
1718428771597418496 |