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Published by Taylor & Francis Inc, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
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ISBN 10: 1498737161 ISBN 13: 9781498737166
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Published by Taylor & Francis Inc, Portland, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
Language: English
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Hardcover. Condition: new. Hardcover. Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioners hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals.The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion of the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings.A GitHub repository includes data sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem. Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Group, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
Language: English
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Published by Taylor & Francis Inc, Portland, 2020
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Add to basketHardcover. Condition: new. Hardcover. Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioners hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals.The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion of the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings.A GitHub repository includes data sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem. Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Taylor & Francis Inc, Portland, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioners hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals.The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion of the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings.A GitHub repository includes data sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem. Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Hardcover. Condition: Brand New. 434 pages. 9.25x6.25x1.00 inches. In Stock.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Raja Velu is a professor of Finance and Analytics in Whitman School of Management at Syracuse University. He served as a Technical Architect at Yahoo! in the Sponsored Search Division and was a visiting scientist at IBM-Almaden, Microsof.
Published by Taylor and Francis Inc, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
Language: English
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Hardcover. Condition: Brand New. 434 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
Published by Taylor and Francis Inc, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
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Published by Taylor & Francis Inc, 2020
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Language: English
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Published by Chapman And Hall/CRC, 2020
ISBN 10: 1498737161 ISBN 13: 9781498737166
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies.