Quality Money Management: Process Engineering and Best Practices for Systematic Trading and Investment: Financial Market Technology
Autor Andrew Kumiega, Benjamin Van Vlieten Limba Engleză Hardback – 9 apr 2008
New and old firms alike are creating new investment vehicles and new strategies that are radically changing the nature of the industry. To compete, mutual funds, hedge fund industries, banks and proprietary trading firms are being forced to quicklyy research, test and implement trade selection and execution systems. And, just as in the early stages of factory automation, quality suffers and leads to defects. Many financial firms fall short of quality, lacking processes and methodologies for proper development and evaluation of trading and investment systems.
Authors Kumiega and Van Vliet present a new step-by-step methodology for such development. Their methodology (called K
- Presents a robust process engineering framework for developing and evaluating trading and investment systems
- Best practices along the step-by-step process will mitigate project risk, model risk, and ensure data quality
- Includes a quality model for backtesting and managing market risk of working systems
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Specificații
ISBN-13: 9780123725493
ISBN-10: 0123725496
Pagini: 304
Ilustrații: Illustrated
Dimensiuni: 184 x 260 x 27 mm
Greutate: 0.84 kg
Editura: ELSEVIER SCIENCE
Seria Financial Market Technology
ISBN-10: 0123725496
Pagini: 304
Ilustrații: Illustrated
Dimensiuni: 184 x 260 x 27 mm
Greutate: 0.84 kg
Editura: ELSEVIER SCIENCE
Seria Financial Market Technology
Public țintă
Primary audience: CIOs and IT Directors in financial services industry, particularly investment houses and banks; software vendors and technology companies who provide solutions for financial services industry; graduate students in financial engineering and financial markets courses and programs.Cuprins
Contents
Preface
CHAPTER 1Introduction
CHAPTER 2Key Concepts and Definitions of Terms
CHAPTER 3Overview of the Trading/Investment System Development Methodology
CHAPTER 4Managing Design and Development
CHAPTER 5Types of Trading Systems
CHAPTER 6Stage 0: The Money Document
STAGE 1: Design and Document Trading/Investment Strategy
CHAPTER 7STAGE 1: Overview
CHAPTER 8Describe Trading/Investment Idea
CHAPTER 9Research Quantitative Methods
CHAPTER 10Prototype in Modeling Software
CHAPTER 11Check Performance
CHAPTER 12Gate 1
STAGE 2: Backtest
CHAPTER 13STAGE 2: Overview
CHAPTER 14Gather Historical Data
CHAPTER 15Develop Cleaning Algorithms
CHAPTER 16Perform In – Sample / Out – of – Sample Tests
CHAPTER 17Check Performance and Shadow Trade
CHAPTER 18Gate 2
STAGE 3: Implement
CHAPTER 19STAGE 3: Overview
CHAPTER 20Plan and Document Technology Specifications
CHAPTER 21Design System Architecture
CHAPTER 22Build and Document the System
CHAPTER 23Check Performance and Probationary Trade
CHAPTER 24Gate 3
STAGE 4: Manage Portfolio and Risk
CHAPTER 25 STAGE 4:Overview
CHAPTER 26Plan Performance and Risk Processes
CHAPTER 27Define Performance Controls
CAHPTER 28Perform SPC Analysis
CHAPTER 29Determine Causes of Variation
CHAPTER 30Kaizen: Continuous Improvement
Preface
CHAPTER 1Introduction
CHAPTER 2Key Concepts and Definitions of Terms
CHAPTER 3Overview of the Trading/Investment System Development Methodology
CHAPTER 4Managing Design and Development
CHAPTER 5Types of Trading Systems
CHAPTER 6Stage 0: The Money Document
STAGE 1: Design and Document Trading/Investment Strategy
CHAPTER 7STAGE 1: Overview
CHAPTER 8Describe Trading/Investment Idea
CHAPTER 9Research Quantitative Methods
CHAPTER 10Prototype in Modeling Software
CHAPTER 11Check Performance
CHAPTER 12Gate 1
STAGE 2: Backtest
CHAPTER 13STAGE 2: Overview
CHAPTER 14Gather Historical Data
CHAPTER 15Develop Cleaning Algorithms
CHAPTER 16Perform In – Sample / Out – of – Sample Tests
CHAPTER 17Check Performance and Shadow Trade
CHAPTER 18Gate 2
STAGE 3: Implement
CHAPTER 19STAGE 3: Overview
CHAPTER 20Plan and Document Technology Specifications
CHAPTER 21Design System Architecture
CHAPTER 22Build and Document the System
CHAPTER 23Check Performance and Probationary Trade
CHAPTER 24Gate 3
STAGE 4: Manage Portfolio and Risk
CHAPTER 25 STAGE 4:Overview
CHAPTER 26Plan Performance and Risk Processes
CHAPTER 27Define Performance Controls
CAHPTER 28Perform SPC Analysis
CHAPTER 29Determine Causes of Variation
CHAPTER 30Kaizen: Continuous Improvement
Recenzii
“Benjamin Van Vliet and Andrew Kumiega give a complete and methodological approach to building trading and investment systems. They cover all you need to know to understand back-testing and prototyping of trading algorithms. Our team had their methodology in mind when they designed our analytical tool, Resolver One, to ensure quality, reliability and consistency when developing trading systems from ideas through prototype to production. A one-stop book for building systematic trading and investment systems.--Jean Viry-Babel, Head of Sales, ResolverSystems, London, United Kingdom "I believe Kumiega and Van Vliet's blending of two disciplines - Quality and Finance - is the next step in the evolution of the financial industry. This approach will make financial processes more effective and efficient."--M. Zia Hassan, Fellow of the American Society for Quality, Dean Emeritus and Professor, Stuart School of Business, Chicago IL
"Andrew Kumiega, a manager in charge of software testing at a Chicago-based trading firm and co- author of ‘Quality Money Management,’ a book that discusses the importance of standards for financial technology, says he is not surprised by the software glitch suffered by Knight because automated trading is still a young industry. It has yet to establish industry-wide standards and frequently suffers from the cross-purposes of three competing groups: traders who view their primary goal as trading success while upholding securities regulations, programmers who focus on coding and creating well designed software, and quantitative analysts who hone in on the mathematics that underpin many trading software efforts. ‘If you look at these three groups, the tactics they employ for effective software testing are all completely different,’ Kumiega said."--Institutional Investor
"Andrew Kumiega, a manager in charge of software testing at a Chicago-based trading firm and co- author of ‘Quality Money Management,’ a book that discusses the importance of standards for financial technology, says he is not surprised by the software glitch suffered by Knight because automated trading is still a young industry. It has yet to establish industry-wide standards and frequently suffers from the cross-purposes of three competing groups: traders who view their primary goal as trading success while upholding securities regulations, programmers who focus on coding and creating well designed software, and quantitative analysts who hone in on the mathematics that underpin many trading software efforts. ‘If you look at these three groups, the tactics they employ for effective software testing are all completely different,’ Kumiega said."--Institutional Investor