Description
| Product ID: | 9781107091146 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Algorithmic and High-Frequency Trading |
| Authors: | Author: Alvaro Cartea, Sebastian Jaimungal, Jose Penalva |
| Page Count: | 356 |
| Subjects: | Economics, Economics, Econometrics and economic statistics, Finance and the finance industry, Economic statistics, Finance |
| Description: | Select Guide Rating This cutting-edge textbook shows how to build the advanced mathematical models that underpin modern trading algorithms. 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 book is for you. 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2015-08-06 |
