Handbook of Price Impact Modeling
1st Edition
Published on 5. May 2023
432 pages
978-1-000-87766-3 (ISBN)
Description
Handbook of Price Impact Modeling provides practitioners and students with a mathematical framework grounded in academic references to apply price impact models to quantitative trading and portfolio management. Automated trading is now the dominant form of trading across all frequencies. Furthermore, trading algorithm rise introduces new questions professionals must answer, for instance:
How do stock prices react to a trading strategy?
How to scale a portfolio considering its trading costs and liquidity risk?
How to measure and improve trading algorithms while avoiding biases?
Price impact models answer these novel questions at the forefront of quantitative finance. Hence, practitioners and students can use this Handbook as a comprehensive, modern view of systematic trading.
For financial institutions, the Handbook's framework aims to minimize the firm's price impact, measure market liquidity risk, and provide a unified, succinct view of the firm's trading activity to the C-suite via analytics and tactical research.
The Handbook's focus on applications and everyday skillsets makes it an ideal textbook for a master's in finance class and students joining quantitative trading desks. Using price impact models, the reader learns how to:
Build a market simulator to back test trading algorithms
Implement closed-form strategies that optimize trading signals
Measure liquidity risk and stress test portfolios for fire sales
Analyze algorithm performance controlling for common trading biases
Estimate price impact models using public trading tape
Finally, the reader finds a primer on the database kdb+ and its programming language q, which are standard tools for analyzing high-frequency trading data at banks and hedge funds.
Authored by a finance professional, this book is a valuable resource for quantitative researchers and traders.
How do stock prices react to a trading strategy?
How to scale a portfolio considering its trading costs and liquidity risk?
How to measure and improve trading algorithms while avoiding biases?
Price impact models answer these novel questions at the forefront of quantitative finance. Hence, practitioners and students can use this Handbook as a comprehensive, modern view of systematic trading.
For financial institutions, the Handbook's framework aims to minimize the firm's price impact, measure market liquidity risk, and provide a unified, succinct view of the firm's trading activity to the C-suite via analytics and tactical research.
The Handbook's focus on applications and everyday skillsets makes it an ideal textbook for a master's in finance class and students joining quantitative trading desks. Using price impact models, the reader learns how to:
Build a market simulator to back test trading algorithms
Implement closed-form strategies that optimize trading signals
Measure liquidity risk and stress test portfolios for fire sales
Analyze algorithm performance controlling for common trading biases
Estimate price impact models using public trading tape
Finally, the reader finds a primer on the database kdb+ and its programming language q, which are standard tools for analyzing high-frequency trading data at banks and hedge funds.
Authored by a finance professional, this book is a valuable resource for quantitative researchers and traders.
Reviews / Votes
"Kevin Webster has written a remarkable textbook that studies these problems in a uniquely comprehensive manner. To wit, he covers theory, empirics, and implementation by bringing together insights developed in a number of different research communities, ranging from Industry Practitioners, Financial Economists, Econophysicists, to Applied Mathematicians. In doing so, Kevin develops the underlying theory in a very accessible manner. He also presents important practical applications beyond optimal trading (such as risk management), which showcase that a good grasp of the mechanics of price impact is an essential part of any modern financial engineer's toolkit."- Johannes Muhle-Karbe, Imperial College London.
Full article: Handbook of Price Impact Modeling (tandfonline.com)
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
118 Halftones, black and white; 118 Illustrations, black and white
ISBN-13
978-1-000-87766-3 (9781000877663)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kevin T. Webster
Handbook of Price Impact Modeling
Book
05/2023
1st Edition
Chapman & Hall/CRC
€122.60
Shipment within 10-20 days
Person
Dr. Kevin Webster graduated with a PhD from Princeton University Operations Research and Financial Engineering Department (ORFE). At ORFE, he studied mathematical models applied to high-frequency trading, emphasizing price impact, and market-making models. He previously worked at Deutsche Bank and Citadel and is currently a Visiting Assistant Professor (Visiting Reader) in the Department of Mathematics at Imperial College London.
Dr. Webster created and taught the course, ORF 474 High-Frequency Markets: Models and Data Analysis, as a Visiting Lecturer at Princeton in 2015. His publications include, The Self-Financing Equation in High Frequency Markets, Information and Inventories in High Frequency Trading, A Portfolio Manager's Guidebook to Trade Execution, and High Frequency Market Making.
Dr. Webster created and taught the course, ORF 474 High-Frequency Markets: Models and Data Analysis, as a Visiting Lecturer at Princeton in 2015. His publications include, The Self-Financing Equation in High Frequency Markets, Information and Inventories in High Frequency Trading, A Portfolio Manager's Guidebook to Trade Execution, and High Frequency Market Making.
Content
1. Introduction to Modeling Price Impact. 2. Mathematical Models of Price Impact. 3. Applications of Price Impact Models. 4. Further Applications of Price Impact Models. 5. An Introduction to the Mathematics of Causal Inference. 6. Dealing with Biases when Fitting Price Impact Models. 7. Empirical Analysis of Price Impact Models.
