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Tidy Finance with R (Chapman & Hall/CRC The R Series)
Language: English
Published by Chapman and Hall/CRC (edition 1), 2023
ISBN 10: 1032389346 ISBN 13: 9781032389349
Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/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: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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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 Python
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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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
Condition: New.
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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.
-
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.
-
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 (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 2024-07-15, 2024
ISBN 10: 1032676418 ISBN 13: 9781032676418
Paperback. 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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 74.35
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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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
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
Condition: 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
Condition: As New. Unread book in perfect condition.
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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
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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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 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 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
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 (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
£ 83.05
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
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.
-
Paperback. Condition: Brand New. 272 pages. 9.19x6.13x0.63 inches. In Stock.
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Paperback. Condition: Brand New. 272 pages. 10.00x7.00x10.00 inches. In Stock.
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Condition: New. Christoph Frey is a Quantitative Researcher and Portfolio Manager at a family office in Hamburg and a Research Fellow at the Centre for Financial Econometrics, Asset Markets and Macroeconomic Policy at Lancaster University. Prior to this, he was t.
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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.
-
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: 1032684291 ISBN 13: 9781032684291
Condition: 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: 1032389338 ISBN 13: 9781032389332
Condition: As New. Unread book in perfect condition.
