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Gabriella Vaglica
Researcher at University of Palermo
Publications - 13
Citations - 481
Gabriella Vaglica is an academic researcher from University of Palermo. The author has contributed to research in topics: Stock exchange & Financial market. The author has an hindex of 5, co-authored 13 publications receiving 463 citations.
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Journal ArticleDOI
Market Impact and Trading Profile of Hidden Orders in Stock Markets
Esteban Moro,Esteban Moro,Javier Vicente,Luis G. Moyano,Aurig Gerig,Aurig Gerig,Doyne James Farmer,Doyne James Farmer,Gabriella Vaglica,Fabrizio Lillo,Fabrizio Lillo,Rosario N. Mantegna +11 more
TL;DR: It is found that market impact is strongly concave, approximately increasing as the square root of order size, and as a given order is executed, the impact grows in time according to a power law.
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Scaling laws of strategic behavior and size heterogeneity in agent dynamics.
TL;DR: The financial market is considered as a model system and it is shown that heterogeneity of agents is a key ingredient for the emergence of some aggregate properties characterizing this complex system.
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Specialization of strategies and herding behavior of trading firms in a financial market
TL;DR: In this article, the authors present a comprehensive study of the Spanish Stock Exchange showing that most financial firms trading in that market are characterized by a resulting strategy and can be classified in groups of firms with different specialization.
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Specialization and herding behavior of trading firms in a financial market
TL;DR: In this article, the authors present a comprehensive study of the resulting strategies followed by the firms which are members of the Spanish Stock Exchange and detect a clear asymmetry in the Granger causality between inventory variation of firms and stock return.
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Statistical identification with hidden Markov models of large order splitting strategies in an equity market
TL;DR: In this paper, the authors used hidden Markov models to detect trading sequences of sequential buying or selling transactions as proxies of the traded hidden orders and observed the existence of a buy-sell asymmetry in the number, average length, average fraction of market orders and average participation rate.