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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Tidy Finance With R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: As New. Unread book in perfect condition.
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Tidy Finance With Python
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: As New. Unread book in perfect condition.
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Tidy Finance with R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Tidy Finance with Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Tidy Finance With R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New.
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Tidy Finance With Python
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: New.
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Tidy Finance With Python
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 86.79
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Tidy Finance With R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 86.79
US$ 20.11 shipping
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New.
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: New.
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: New.
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by H N H International Limited, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New.
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 100.25
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC 2024-07-15, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
US$ 96.06
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by Chapman and Hall/CRC 2023-04-05, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
US$ 96.03
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by H N H International Limited, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New.
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Tidy Finance with Python
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Tidy Finance with Python
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Paperback. Condition: New. This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and plotnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.Key Features:Self-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader's research or as a reference for courses on empirical finance.Each chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provide.A full-fledged introduction to machine learning with scikit-learn based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methods.We show how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat, including detailed explanations of the most relevant data characteristics.Each chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises.
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Tidy Finance With Python
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 99.26
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Tidy Finance With R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 99.41
US$ 20.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Tidy Finance with R
Language: English
Published by Taylor and Francis Ltd, GB, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
First Edition
Paperback. Condition: New. 1st. This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the tidyverse family of R packages. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.HighlightsSelf-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader's research or as a reference for courses on empirical financeEach chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provideA full-fledged introduction to machine learning with tidymodels based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methodsChapter 2 on accessing and managing financial data shows how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat. The chapter also contains detailed explanations of the most relevant data characteristicsEach chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises.
-
Tidy Finance with Python
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and plotnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.Key Features:Self-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader's research or as a reference for courses on empirical finance.Each chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provide.A full-fledged introduction to machine learning with scikit-learn based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methods.We show how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat, including detailed explanations of the most relevant data characteristics.Each chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises.
-
Tidy Finance with R
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2023. 1st Edition. Paperback. . . . . .
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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by H N H International Limited, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New.
-
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Condition: New.
-
Tidy Finance with R
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Condition: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
-
US$ 144.88
US$ 13.41 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 272 pages. 9.19x6.13x0.63 inches. In Stock.
