Quality money management : process engineering and best practices for systematic trading and investment / Andrew Kumiega and Benjamin Van Vliet.

HB

CHAPTER 1 Introduction --
CHAPTER 2 Key Concepts and Definitions of Terms --
CHAPTER 3 Overview of the Trading/Investment System Development Methodology --
CHAPTER 4 Managing Design and Development --
CHAPTER 5 Types of Trading Systems --
CHAPTER 6 Stage 0: The Money Document --
STAGE 1: Design and Document Trading/Investment Strategy --
CHAPTER 7 STAGE 1: Overview --
CHAPTER 8 Describe Trading/Investment Idea --
CHAPTER 9 Research Quantitative Methods --
CHAPTER 10 Prototype in Modeling Software --
CHAPTER 11 Check Performance --
CHAPTER 12 Gate 1 --
STAGE 2: Backtest --
CHAPTER 13 STAGE 2: Overview --
CHAPTER 14 Gather Historical Data --
CHAPTER 15 Develop Cleaning Algorithms --
CHAPTER 16 Perform In Sample / Out of Sample Tests --
CHAPTER 17 Check Performance and Shadow Trade --
CHAPTER 18 Gate 2 --
STAGE 3: Implement --
CHAPTER 19 STAGE 3: Overview --
CHAPTER 20 Plan and Document Technology Specifications --
CHAPTER 21 Design System Architecture --
CHAPTER 22 Build and Document the System --
CHAPTER 23 Check Performance and Probationary Trade --
CHAPTER 24 Gate 3 --
STAGE 4: Manage Portfolio and Risk --
CHAPTER 25 STAGE 4:Overview --
CHAPTER 26 Plan Performance and Risk Processes --
CHAPTER 27 Define Performance Controls --
CHAPTER 28 Perform SPC Analysis --
CHAPTER 29 Determine Causes of Variation --
CHAPTER 30 Kaizen: Continuous Improvement.

The financial markets industry is at the same crossroads as the automotive industry in the late 1970s. Margins are collapsing and customization is rapidly increasing. The automotive industry turned to quality and its no coincidence that in the money management industry many of the spectacular failures have been due largely to problems in quality control. The financial industry in on the verge of a quality revolution. 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 KV) has been presented in numerous journal articles and at academic and industry conferences and is rapidly being accepted as the preferred business process for the institutional trading and hedge fund industries for development, presentation, and evaluation of trading and investment systems. The KV model for trading system development combines new product development, project management and software development methodologies into one robust system. After four stages, the methodology requires repeating the entire waterfall for continuous improvement. The discussion quality and its applications to the front office is presented using lessons learned by the authors after using the methodology in the real world. As a result, it is flexible and modifiable to fit various projects in finance in different types of firms. Their methodology works equally well for short-term trading systems, longer-term portfolio management or mutual fund style investment strategies as well as more sophisticated ones employing derivative instruments in hedge funds. Additionally, readers will be able to quickly modify the standard KV methodology to meet their unique needs and to quickly build other quantitatively drive applications for finance. At the beginning and the end of the book the authors pose a key question: Are you willing to change and embrace quality for the 21st century or are willing to accept extinction? The real gem in this book is that the concepts give the reader a road map to avoid extinction. * 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

Includes bibliographical references (p. 279-285) and index.