Clifford S. Ang
Analyzing Financial Data and Implementing Financial Models Using R
Analyzing Financial Data and Implementing Financial Models Using R
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- More about Analyzing Financial Data and Implementing Financial Models Using R
This textbook teaches students in finance and economics how to use R to analyze financial data and implement financial models, covering return and risk measurement, portfolio management, option pricing, and fixed income analysis. It includes updated examples and new chapters on equities, simulation, and trading strategies.
Format: Paperback / softback
Length: 465 pages
Publication date: 25 June 2022
Publisher: Springer Nature Switzerland AG
This comprehensive textbook is designed for advanced undergraduate and graduate students studying finance and economics. It provides a thorough introduction to using R for analyzing financial data and implementing financial models. The book demonstrates step-by-step techniques for extracting, manipulating, and modeling publically available data to generate outputs that are commonly used in various financial analyses. It covers a wide range of timely and practical topics in financial modeling, such as measuring return and risk, portfolio management, option pricing, and fixed income analysis.
In addition to updating and expanding upon the existing material, this new edition includes updated examples and new chapters on equities, simulation, and trading strategies, including machine learning techniques. Selected data sets are also made available online for further exploration and practice.
By leveraging the power of R, students will gain the skills and knowledge necessary to analyze financial data, develop effective financial models, and make informed decisions in the field of finance and economics. Whether they are aspiring analysts, investment professionals, or researchers, this textbook is an invaluable resource for anyone seeking to advance their understanding of financial modeling and analysis using R.
Weight: 735g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030641573
Edition number: 2nd ed. 2021
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