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Synopsis
Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.
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About the Author
Mark J. Bennett is a senior data scientist with a major investment bank and has taught financial analytics at the University of Iowa and the University of Chicago. Mark holds a Ph.D. from UCLA, an M.S. from the University of Southern California and a B.S. with Distinction from the University of Iowa, all in computer science. He has held software positions at Argonne National Laboratory, Unisys Corporation, AT&T Bell Laboratories, Northrop Grumman, and XR Trading Securities.
Dirk L. Hugen is a graduate student in the Department of Statistics and Actuarial Science at the University of Iowa. He previously worked as a signal processing engineer.
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
Used
Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardback. Condition: Good. Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities. Seller Inventory # 00110838415
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Financial Analytics with R : Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
Used
Hardcover
Seller: Better World Books: West, Reno, NV, U.S.A.
Seller rating 5 out of 5 stars
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Financial Analytics with R : Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
Used
Hardcover
Seller: Better World Books, Mishawaka, IN, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Seller Inventory # 50627944-6
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
Used
Hardcover
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardback. Condition: Good. Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities. Seller Inventory # CIN1107150752G
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
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ISBN 10: 1107150752
ISBN 13: 9781107150751
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
Used
Hardcover
Seller: HPB-Red, Dallas, TX, U.S.A.
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
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Hardcover
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Financial Analytics with R: Building a Laptop Laboratory for Data Science
Published by
Cambridge University Press, 2016
ISBN 10: 1107150752
ISBN 13: 9781107150751
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1107150752I4N00