Quality Money Management: Process Engineering and Best Practices for Systematic Trading and Investment (Financial Market Technology)

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The financial marketsindustry 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|V) 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 K|V 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 K|V 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.

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Andrew Kumiega has a spent over 20 years automating processes including CNC Machining, chemical manufacturing, confectionary, pharmacuitcal manufacturing, and financial trading systems in industry as an Industrial Engineer. He has held various senior level positions at financial institutions, including Director of Research at TD Waterhouse Securities Options, Head of Financial Engineering at TFM Investments, LLC and Director of Financial Engineering at Market Liquidity Networks (all major options market makers), and Vice President of Quantitative Research at Calamos Asset Management. Currently, he is employed at a proprietary trading firm. He is an adjunct professor at the Illinois Institute of Technology. He is a member of the American Society of Quality Control, a Certified Quality Engineer, a Certified Quality Auditor and a Certified Software Quality Engineer. He is also a founding member of the Market Technology Committee of the Certified Trading System Developer (CTSD) program at i4MT.Ben Van Vliet is a Lecturer at the Illinois Institute of Technology (IIT), where he also serves as the Associate Director of the M.S. Financial Markets program. At IIT he teaches courses in quantitative finance, C++ and .NET programming, and automated trading system design and development. He is vice chairman of the Institute for Market Technology, where he chairs the advisory board for the Certified Trading System Developer (CTSD) program. He also serves as series editor of the Financial Markets Technology series for Elsevier/Academic Press and consults extensively in the financial markets industry. Mr. Van Vliet is also the author of "Modeling Financial Markets" with Robert Hendry (2003, McGraw Hill) and "Building Automated Trading Systems"(2007, Academic Press. Additionally, he has published several articles in the areas of finance and technology, and presented his research at several academic and professional conferences.