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Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Very Good.
Language: English
Published by Springer (edition 2015), 2015
ISBN 10: 3319140744 ISBN 13: 9783319140742
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Hardcover. Condition: Very Good. 2015. 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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Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 492.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 492.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 492.
Condition: New.
Language: English
Published by Springer-Verlag Gmbh, 2015
ISBN 10: 3319140744 ISBN 13: 9783319140742
Seller: AHA-BUCH GmbH, Einbeck, Germany
Gebundene Ausgabe. Condition: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis. This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student. Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Analyzing Financial Data and Implementing Financial Models Using R | Clifford S. Ang | Taschenbuch | Springer Texts in Business and Economics | xvi | Englisch | 2016 | Springer | EAN 9783319357317 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. reprint edition. 368 pages. 9.25x6.10x0.87 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 102.01
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Analyzing Financial Data and Implementing Financial Models Using R | Clifford S. Ang | Taschenbuch | Springer Texts in Business and Economics | xvi | Englisch | 2022 | Springer | EAN 9783030641573 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 119.04
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Add to basketCondition: As New. Unread book in perfect condition.