Quality money management: process engineering and best practices for systematic trading and investment
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier/Academic Press
c2008
|
| Schriftenreihe: | Financial market technology series
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (viii, 295 p.) |
| ISBN: | 9780123725493 0123725496 9780080559919 0080559913 |
Internformat
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| 500 | |a 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. | ||
| 500 | |a 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. | ||
| 500 | |a 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 | ||
| 500 | |a Includes bibliographical references (p. 279-285) and index | ||
| 650 | 7 | |a BUSINESS & ECONOMICS / Investments & Securities / General |2 bisacsh | |
| 650 | 7 | |a Electronic trading of securities |2 fast | |
| 650 | 7 | |a Finance / Mathematical models |2 fast | |
| 650 | 7 | |a Financial engineering |2 fast | |
| 650 | 7 | |a Investments / Mathematical models |2 fast | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Electronic trading of securities | |
| 650 | 4 | |a Finance |x Mathematical models | |
| 650 | 4 | |a Investments |x Mathematical models | |
| 650 | 4 | |a Financial engineering | |
| 700 | 1 | |a Van Vliet, Benjamin |e Sonstige |4 oth | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Kumiega, Andrew |
| author_facet | Kumiega, Andrew |
| author_role | aut |
| author_sort | Kumiega, Andrew |
| author_variant | a k ak |
| building | Verbundindex |
| bvnumber | BV042306957 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)228148406 (DE-599)BVBBV042306957 |
| dewey-full | 332.6 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332.6 |
| dewey-search | 332.6 |
| dewey-sort | 3332.6 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| spelling | Kumiega, Andrew Verfasser aut Quality money management process engineering and best practices for systematic trading and investment Andrew Kumiega, Benjamin Van Vliet Amsterdam Elsevier/Academic Press c2008 1 Online-Ressource (viii, 295 p.) txt rdacontent c rdamedia cr rdacarrier Financial market technology series 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 BUSINESS & ECONOMICS / Investments & Securities / General bisacsh Electronic trading of securities fast Finance / Mathematical models fast Financial engineering fast Investments / Mathematical models fast Mathematisches Modell Wirtschaft Electronic trading of securities Finance Mathematical models Investments Mathematical models Financial engineering Van Vliet, Benjamin Sonstige oth http://www.sciencedirect.com/science/book/9780123725493 Verlag Volltext |
| spellingShingle | Kumiega, Andrew Quality money management process engineering and best practices for systematic trading and investment BUSINESS & ECONOMICS / Investments & Securities / General bisacsh Electronic trading of securities fast Finance / Mathematical models fast Financial engineering fast Investments / Mathematical models fast Mathematisches Modell Wirtschaft Electronic trading of securities Finance Mathematical models Investments Mathematical models Financial engineering |
| title | Quality money management process engineering and best practices for systematic trading and investment |
| title_auth | Quality money management process engineering and best practices for systematic trading and investment |
| title_exact_search | Quality money management process engineering and best practices for systematic trading and investment |
| title_full | Quality money management process engineering and best practices for systematic trading and investment Andrew Kumiega, Benjamin Van Vliet |
| title_fullStr | Quality money management process engineering and best practices for systematic trading and investment Andrew Kumiega, Benjamin Van Vliet |
| title_full_unstemmed | Quality money management process engineering and best practices for systematic trading and investment Andrew Kumiega, Benjamin Van Vliet |
| title_short | Quality money management |
| title_sort | quality money management process engineering and best practices for systematic trading and investment |
| title_sub | process engineering and best practices for systematic trading and investment |
| topic | BUSINESS & ECONOMICS / Investments & Securities / General bisacsh Electronic trading of securities fast Finance / Mathematical models fast Financial engineering fast Investments / Mathematical models fast Mathematisches Modell Wirtschaft Electronic trading of securities Finance Mathematical models Investments Mathematical models Financial engineering |
| topic_facet | BUSINESS & ECONOMICS / Investments & Securities / General Electronic trading of securities Finance / Mathematical models Financial engineering Investments / Mathematical models Mathematisches Modell Wirtschaft Finance Mathematical models Investments Mathematical models |
| url | http://www.sciencedirect.com/science/book/9780123725493 |
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