Analyzing Financial Data and Implementing Financial Models Using R

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Geliefert zwischen Do., 20.11.2025 und Fr., 21.11.2025

Details

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.


Features new chapters on equities, simulation and trading strategies Provides updated discussions and revised examples Guides students step-by-step through the modeling process and reports intermediate output Instructs students to analyze financial data and implement financial models using R using real-world data

Autorentext

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.


Inhalt
Chapter 1 Prices.- Chapter 2 Individual Security Returns.- Chapter 3 Portfolio Returns.- Chapter 4 Risk.- Chapter 5 Factor Models.- Chapter 6 Risk-Adjusted Portfolio Performance Measures.- Chapter 7 Markowitz Mean-Variance Optimization.- Chapter 8 Fixed Income.- Chapter 9 Options.- Appendix A Getting Started with R. Appendix B Constructing a Hypothetical Portfolio.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030641573
    • Genre Business Administration
    • Auflage Second Edition 2021
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 484
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T27mm
    • Jahr 2022
    • EAN 9783030641573
    • Format Kartonierter Einband
    • ISBN 3030641570
    • Veröffentlichung 25.06.2022
    • Titel Analyzing Financial Data and Implementing Financial Models Using R
    • Autor Clifford S. Ang
    • Untertitel Springer Texts in Business and Economics
    • Gewicht 727g

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