Financial Analytics with R
eBook - PDF

Financial Analytics with R

Building a Laptop Laboratory for Data Science

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Financial Analytics with R

Building a Laptop Laboratory for Data Science

About this book

Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Financial Analytics with R by Mark J. Bennett,Dirk L. Hugen in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. 1 Analytical Thinking
  10. 2 The R Language for Statistical Computing
  11. 3 Financial Statistics
  12. 4 Financial Securities
  13. 5 Dataset Analytics and Risk Measurement
  14. 6 Time Series Analysis
  15. 7 The Sharpe Ratio
  16. 8 Markowitz Mean-Variance Optimization
  17. 9 Cluster Analysis
  18. 10 Gauging the Market Sentiment
  19. 11 Simulating Trading Strategies
  20. 12 Data Exploration Using Fundamentals
  21. 13 Prediction Using Fundamentals
  22. 14 Binomial Model for Options
  23. 15 Black–Scholes Model and Option-Implied Volatility
  24. Appendix Probability Distributions and Statistical Analysis
  25. References
  26. Index