Tidy finance python di scheuch christoph (35 risultati)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 78,29
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Christoph Frey, Christoph Scheuch, Stefan Voigt, Patrick Weiss
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 94,99
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 102,88
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Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 92,80
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 89,79
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Condizione: As New. Unread book in perfect condition.
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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EUR 107,85
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Paperback. Condizione: 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, nu…mpy, 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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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 91,63
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 116,77
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: 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, nu…mpy, 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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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 132,69
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Paperback. Condizione: Brand New. 272 pages. 10.00x7.00x10.00 inches. In Stock.
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- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
Contatta il venditoreVenditore con 5 stelleEdizione InternazionaleCondizione: Nuovo
EUR 146,23
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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Da: moluna, Greven, Germaniamoluna
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EUR 96,42
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Condizione: 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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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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EUR 110,10
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Paperback. Condizione: 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, nu…mpy, 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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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 113,56
EUR 75,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: 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, nu…mpy, 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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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 231,65
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Condizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 221,48
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Condizione: New.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 243,31
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Condizione: New.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 245,66
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Condizione: New.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 231,50
EUR 17,46 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 245,50
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 244,73
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Condizione: New.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 265,27
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Condizione: New. In.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 343,04
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Hardcover. Condizione: Brand New. 272 pages. 10.00x7.00x10.00 inches. In Stock.
Tidy Finance with Python (Chapman & Hall/CRC The Python Series)
Scheuch, Christoph; Voigt, Stefan; Weiss, Patrick; Frey, Christoph
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 102,94
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Condizione: New. PRINT ON DEMAND.
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- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 107,02
EUR 11,64 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 272 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
