Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages.
ISBN: | 9780128156308 |
Publication date: | 4th September 2020 |
Author: | Robert (President, Kissell Research Group; Professor, Molloy College; Adjunct Professor, Fordham University) Kissell |
Publisher: | Academic Press Inc an imprint of Elsevier Science Publishing Co Inc |
Format: | Paperback |
Pagination: | 612 pages |
Genres: |
Investment and securities Banking Business strategy |