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Название: Algorithmic and High-Frequency Trading
Автор: Alvaro Cartea, Sebastian Jaimungal, Jose Penalva
Издательство: Cambridge University Press
Год: 2015
Формат: PDF
Страниц: 360
Размер: 30,69 МБ
Язык: English
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.