Informed traders' arrival in foreign ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Informed traders' arrival in foreign exchange markets: Does geography matter?
Author(s) :
Gençay, Ramazan [Auteur]
Gradojevic, Nikola [Auteur]
Lille économie management - UMR 9221 [LEM]
Olsen, Richard [Auteur]
Selçuk, Faruk [Auteur]
Gradojevic, Nikola [Auteur]
Lille économie management - UMR 9221 [LEM]
Olsen, Richard [Auteur]
Selçuk, Faruk [Auteur]
Journal title :
Empirical Economics
Pages :
1431--1462
Publisher :
Springer Verlag
Publication date :
2015-02
ISSN :
0377-7332
English keyword(s) :
Foreign exchange markets
Volume Informed trading
Noise trading
Volume Informed trading
Noise trading
HAL domain(s) :
Sciences de l'Homme et Société/Gestion et management
English abstract : [en]
This article critically investigates the possibility that private information offering systematic profit opportunities exists in the spot foreign exchange market. Using a unique dataset with trader-specific limit and market ...
Show more >This article critically investigates the possibility that private information offering systematic profit opportunities exists in the spot foreign exchange market. Using a unique dataset with trader-specific limit and market order histories for more than 10,000 traders, we detect transaction behavior consistent with the informed trading hypothesis, where traders consistently make money. We then work within the theoretical framework of a high-frequency version of a structural microstructure trade model, which directly measures the market maker’s beliefs. Both the estimates of the trade model parameters and our model-free analysis of the data suggest that the time-varying pattern of the probability of informed trading is rooted in the strategic arrival of informed traders on a particular day-of-week, hour-of-day, or geographic location (market).Show less >
Show more >This article critically investigates the possibility that private information offering systematic profit opportunities exists in the spot foreign exchange market. Using a unique dataset with trader-specific limit and market order histories for more than 10,000 traders, we detect transaction behavior consistent with the informed trading hypothesis, where traders consistently make money. We then work within the theoretical framework of a high-frequency version of a structural microstructure trade model, which directly measures the market maker’s beliefs. Both the estimates of the trade model parameters and our model-free analysis of the data suggest that the time-varying pattern of the probability of informed trading is rooted in the strategic arrival of informed traders on a particular day-of-week, hour-of-day, or geographic location (market).Show less >
Language :
Anglais
Popular science :
Non
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