Analyzing Financial Data and Implementing Financial Models Using R

Clifford S. Ang

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English

Springer Nature Switzerland AG
25 June 2022

Econometrics; Finance; Probability & statistics

Series: Springer Texts in Business and Economics

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.

By: Clifford S. Ang
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2nd ed. 2021
Dimensions: Height: 235mm, Width: 155mm,
Weight: 735g
ISBN: 9783030641573
ISBN 10: 3030641570
Series: Springer Texts in Business and Economics
Pages: 465
Publication Date: 25 June 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Clifford Ang is an Executive Vice President in the Oakland, CA and Chicago, IL offices of Compass Lexecon, where he specializes in valuing businesses & hard-to-value assets and analyzing complex financial statement issues. He has worked on hundreds of engagements involving firms across a broad-spectrum of industries concerning a wide-range of financial and economic issues, such as appraisals, complex asset pricing, solvency, lost profits, market efficiency, loss causation, and damages. Ang also teaches equity and bond valuation courses in DataCamp, an interactive learning platform for data science.