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Mastering R for Quantitative Finance

You're reading from   Mastering R for Quantitative Finance Use R to optimize your trading strategy and build up your own risk management system

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Length 362 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (15) Chapters Close

Preface 1. Time Series Analysis FREE CHAPTER 2. Factor Models 3. Forecasting Volume 4. Big Data – Advanced Analytics 5. FX Derivatives 6. Interest Rate Derivatives and Models 7. Exotic Options 8. Optimal Hedging 9. Fundamental Analysis 10. Technical Analysis, Neural Networks, and Logoptimal Portfolios 11. Asset and Liability Management 12. Capital Adequacy 13. Systemic Risks Index

Industry-specific investment


Until this point, we considered the entire sample as one. It could be a logical decision to focus only on some industries. Note that choosing the right industry to invest should not be based on past performance pattern; we rather have to analyze comovements with global economic trends over a number of years, and then, based on our prediction for the coming periods, we should pick the one with the best outlook. This method helps you to determine the right weights of the industries in your portfolio, but then, you still need to select individual shares that may overperform the others.

Of course, once one given industry is selected, we may end up with different investment rules than those on the whole sample. So, we may further improve our investment performance by performing the previously shown steps for each industry separately.

At the same time, recall that the more specific you are in data selection (time period, industry, and firm size), the less likely will...

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