Algorithmic Trading and Portfolio Management: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques
Robert Kissell
- 出版商: Academic Press
- 出版日期: 2020-09-04
- 售價: $3,600
- 貴賓價: 9.5 折 $3,420
- 語言: 英文
- 頁數: 550
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0128156309
- ISBN-13: 9780128156308
-
相關分類:
Machine Learning、Algorithms-data-structures、機率統計學 Probability-and-statistics
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商品描述
The Science of Algorithmic Trading and Portfolio Management, Second Edition focuses on trading strategies and methods, including new insights on the evolution of financial markets, pre-trade models and post-trade analysis, liquidation cost and risk analysis required for regulatory reporting, and compliance and regulatory reporting requirements. Highlighting new investment styles, it adds new material on best execution processes for investors and brokers, including model validation, quality and assurance, limit order model testing, and smart order model testing. Using basic programming tools, such as Excel, MATLAB, and Python, this book provides a process to create TCA low cost exchange traded funds.
- Provides insights into all necessary components of algorithmic trading, including transaction costs analysis, market impact, risk and optimization, and a thorough and detailed discussion of trading algorithms
- Includes increased coverage of mathematics, statistics and machine learning
- Presents broad coverage of Alpha Model construction
作者簡介
Robert Kissell, PhD, is President of Kissell Research Group, a global financial and economic consulting firm specializing in quantitative modeling, statistical analysis, and algorithmic trading. He is also a professor at Molloy College in the School of Business and an adjunct professor at the Gabelli School of Business at Fordham University. He has held several senior leadership positions with prominent bulge bracket investment banks, including UBS Securities where he was Executive Director of Execution Strategies and Portfolio Analysis, and JP Morgan where he was Executive Director and Head of Quantitative Trading Strategies. He was previously at Citigroup/Smith Barney where he was Vice President of Quantitative Research, and at Instinet where he was Director of Trading Research. He began his career as an economic consultant at R.J. Rudden Associates specializing in energy, pricing, risk, and optimization. Dr. Kissell has written several books and published dozens of journal articles on algorithmic trading, risk, and finance. He is a coauthor of the CFA Level III reading titled “Trade Strategy and Execution, CFA Institute 2019.
