Preview "Algorithmic and High-Frequency Trading" in a new window.

Algorithmic and High-Frequency Trading

Authors

Book Description

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.

In The Press

About the Author

Read on Your Favourite Devices

to find out more

Ebook Permissions

to find out more

About this Ebook

File formats
This ebook is available in:
The publisher has not yet supplied format information.
Pre-order formats shown are based on publisher intent and may change before release.
File sizes shown are an approximation. The actual download size will vary based on the application you use to read the book.
Publisher
Published
; Copyright:
ISBNs
Title
Series
Author
;
Edition
Imprint
Language
Number of Pages
Page count shown is an approximation provided by the publisher. The actual page count will vary based on various factors such as your device's screen size and font-size.