Isbn: 9781107091146 - algorithmic and high-frequency trading (mathematics, finance and risk) (8 Ergebnisse)

Hardback. Zustand: Good. 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. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.…

Hardcover. Zustand: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Zustand: New. In English.

hardcover. Zustand: Sehr gut. 360 Seiten; 9781107091146.2 Gewicht in Gramm: 1.

Zustand: New. 2015. 1st Edition. Hardcover. A straightforward guide to the mathematics of algorithmic trading that reflects cutting-edge research. Num Pages: 356 pages, 5 b/w illus. 75 colour illus. 35 tables. BIC Classification: KCHS; KFF. Category: (P) Professional & Vocational. Dimension: 256 x 182 x 22. Weight in Grams: 864. . . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 356 pages. 10.00x7.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.…

Zustand: gut. 2015. Algorithmic and High-Frequency Trading (Mathematics, Finance and Risk) In englischer Sprache. pages.