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Analyzing financial data and impleme...
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Ang, Clifford S.
Analyzing financial data and implementing financial models using R /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Analyzing financial data and implementing financial models using R // Clifford S. Ang.
Author:
Ang, Clifford S.
Published:
Cham :Springer, : c2021.,
Description:
xvi, 465 p. :ill. (chiefly color) ; : 25 cm.;
Notes:
Previous edition: 2015.
Subject:
R (Computer program language) -
ISBN:
9783030641542 (hbk.) :
Analyzing financial data and implementing financial models using R /
Ang, Clifford S.
Analyzing financial data and implementing financial models using R /
Clifford S. Ang. - 2nd ed. - Cham :Springer,c2021. - xvi, 465 p. :ill. (chiefly color) ;25 cm. - Springer texts in business and economics,2192-4333. - Springer texts in business and economics..
Previous edition: 2015.
Includes bibliographical references and index.
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.
ISBN: 9783030641542 (hbk.) :NT3447Subjects--Topical Terms:
679069
R (Computer program language)
LC Class. No.: HG106 / .A53 2021
Dewey Class. No.: 332
Analyzing financial data and implementing financial models using R /
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Analyzing financial data and implementing financial models using R /
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Springer,
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c2021.
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xvi, 465 p. :
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ill. (chiefly color) ;
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25 cm.
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Springer texts in business and economics,
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2192-4333
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Previous edition: 2015.
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Includes bibliographical references and index.
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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.
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R (Computer program language)
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Springer texts in business and economics.
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882433
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