• English
    • français
  • Aide
  •  | 
  • Contact
  •  | 
  • À Propos
  •  | 
  • Ouvrir une session
  • Portail HAL
  •  | 
  • Pages Pro Chercheurs
  • EN
  •  / 
  • FR
Voir le document 
  •   Accueil de LillOA
  • Liste des unités
  • Lille Économie Management (LEM) - UMR 9221
  • Voir le document
  •   Accueil de LillOA
  • Liste des unités
  • Lille Économie Management (LEM) - UMR 9221
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Informed traders' arrival in foreign ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
10.1007/s00181-015-0917-z
Titre :
Informed traders' arrival in foreign exchange markets: Does geography matter?
Auteur(s) :
Gençay, Ramazan [Auteur]
Gradojevic, Nikola [Auteur]
Lille économie management - UMR 9221 [LEM]
Olsen, Richard [Auteur]
Selçuk, Faruk [Auteur]
Titre de la revue :
Empirical Economics
Pagination :
1431--1462
Éditeur :
Springer Verlag
Date de publication :
2015-02
ISSN :
0377-7332
Mot(s)-clé(s) en anglais :
Foreign exchange markets
Volume Informed trading
Noise trading
Discipline(s) HAL :
Sciences de l'Homme et Société/Gestion et management
Résumé en anglais : [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 ...
Lire la suite >
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).Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
  • Lille Économie Management (LEM) - UMR 9221
Source :
Harvested from HAL
Université de Lille

Mentions légales
Accessibilité : non conforme
Université de Lille © 2017