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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2014, Volume 24, Issue 4, Pages 63–85
DOI: https://doi.org/10.14357/08696527140404
(Mi ssi375)
 

Recent works in the field of modeling information flows in contemporary high-frequency financial applications

V. Yu. Korolevab, A. Yu. Korchagina, I. A. Sokolovba, A. V. Chertokac

a Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, 1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
b Institute of Informatics Problems, Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
c Euphoria Group LLC, 9, bld. 1, of. 6 Arkhangelsky Lane, Moscow 101000, Russian Federation
References:
Abstract: Some results of recent studies in the field of modeling information flows in contemporary high-frequency financial systems and applications are discussed. In particular, the microscale model proposed by the authors is considered. Within the framework of this model, the order flows are described by doubly stochastic Poisson processes (also called Cox processes) which take account of the random character of intensities. To study the evolution of the limit order book (the current list of all active buy and sell orders), the models are proposed for the processes of number of orders imbalance and order flows imbalance having the form of two-sided risk processes, special compound Cox processes. These processes are sensitive indicators of the current state of the limit order book and provide the possibility to interpolate dynamics of the market between price changes, say, to trace toxicity of the order flow. The paper presents a review of main results obtained by application of these models.
Keywords: financial markets; high-frequency financial systems; limit order book; number of orders imbalance; order flows imbalance; doubly stochastic Poisson process; compound Cox process; normal variance-mean mixture; two-sided risk process; separation of mixtures; EM-algorithm; generalized variance gamma distribution; generalized gamma distribution; generalized hyperbolic distribution; generalized inverse Gaussian distribution.
Received: 21.10.2014
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. Yu. Korolev, A. Yu. Korchagin, I. A. Sokolov, A. V. Chertok, “Recent works in the field of modeling information flows in contemporary high-frequency financial applications”, Sistemy i Sredstva Inform., 24:4 (2014), 63–85
Citation in format AMSBIB
\Bibitem{KorKorSok14}
\by V.~Yu.~Korolev, A.~Yu.~Korchagin, I.~A.~Sokolov, A.~V.~Chertok
\paper Recent works in the field of modeling information flows in contemporary high-frequency financial applications
\jour Sistemy i Sredstva Inform.
\yr 2014
\vol 24
\issue 4
\pages 63--85
\mathnet{http://mi.mathnet.ru/ssi375}
\crossref{https://doi.org/10.14357/08696527140404}
\elib{https://elibrary.ru/item.asp?id=22996790}
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    Системы и средства информатики
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