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QUALITY MONEY MANAGEMENT
Quality Money ManagementProcess Engineering and Best Practices for Systematic Trading and Investment
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By
Andrew Kumiega, Adjunct Professor, Stuart Graduate School of Business, Illinois Institute of Technology, formerly Director of Research at TD Waterhouse Securities Options, one of the largest option market making firms in the US; Head of Financial Engineering at TFM Investments, LLC and Market Liquidity Networks, both major options market makers, and Vice President of Quantitative Research at Calamos Asset Management
Benjamin Van Vliet, Lecturer in and the Associate Director of the Masters in Financial Markets Program, Stuart School of Business, Illinois Institute of Technology, USA

Description
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 K

Audience
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.

Contents


Contents
Preface 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 CAHPTER 28 Perform SPC Analysis CHAPTER 29 Determine Causes of Variation CHAPTER 30 Kaizen: Continuous Improvement

Bibliographic details
Hardbound, 304 pages, publication date: FEB-2008
ISBN-13: 978-0-12-372549-3
ISBN-10: 0-12-372549-6
Imprint: ACADEMIC PRESS

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EUR 66.95
GBP 45.99
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Last update: 27 Sep 2008
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