Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.

Autorentext
Harry Georgakopoulos is the Head of Digital Assets at Blue Fire Capital, LLC. Harry started his career as an Electrical Engineer at Motorola and eventually found himself developing and trading high frequency strategies in equities, futures, options and digital (crypto) assets. He holds a Master's degree in Electrical Engineering from NTU, as well as, a Master's degree in Financial Mathematics from The University of Chicago. Harry has also been an adjunct lecturer in the Financial Risk Management program for more than 5 years at Loyola University in Chicago.

Inhalt
1 An Overview 2 Tools of the Trade 3 Working with Data 4 Basic Statistics and Probability 5 Intermediate Statistics and Probability 6 Spreads, Betas and Risk 7 Backtesting with Quantstrat 8 High-Frequency Data 9 Options 10 Optimization