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Mastering R for Quantitative Finance

You're reading from  Mastering R for Quantitative Finance

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Pages 362 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Mastering R for Quantitative Finance
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Time Series Analysis 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

Market efficiency


Markets are efficient to the extent that all information is built into the current prices. The weak form of market efficiency requires that the latest price already incorporates all the information which can be obtained from the chart of past prices and trading volumes. Clearly, if markets were efficient at least in this weak sense, returns would be totally independent over time and strategies based on technical analysis, neural networks and the logoptimal portfolio theory would be completely worthless, see Hull (2009), Model of the behavior of stock prices.

However, the efficiency of a given market is purely an empirical question. You can never be sure that asset returns in the real world are really completely independent in time. Therefore, you should not take market efficiency as a fact but you are encouraged to test it on your own by inventing and implementing new technically inspired strategies. If your strategy calibrated on past trading data proves to be robust enough...

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