Algorithmic and high-frequency trading

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Cartea, Álvaro.
Άλλοι συγγραφείς: Jaimungal, Sebastian., Penalva, José.
Μορφή: Livre
Γλώσσα: Anglais
Έκδοση: Cambridge : Cambridge University Press, cop. 2015.
Θέματα:
Autres localisations: Voir dans le Sudoc
Περίληψη: The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. [4e de couv.]

BU Sciences

  Τοποθεσία Ταξιθετικός Αριθμός Κατάσταση
Libre accès 332.64 ALG Στη βιβλιοθήκη