With the ever-changing financial environment in the global market, investment banks, hedge funds, and private equity firms are always on the lookout for professionals able to identify profitable investment opportunities and manage risk. If you are interested in Quantitative Finance, especially in modern portfolio theory and risk management, then this is the perfect course for you.

Solving complex quantitative finance tasks becomes much easier with hands-on coding implementations. This course mixes important theoretical steps in a practical way to enhance your financial IQ in your day-to-day activities.

By the end of the course, you'll be comfortable using R and its associated libraries to solve any problem associated with Quantitative Finance without getting stressed; in short, you'll be solving the complex challenges that portfolio and risk managers face every day.

Al the codes and supporting files are available on GitHub at https://github.com/PacktPublishing/Quantitative-Finance-with-R

Style and Approach

This course mixes key theoretical aspects of quantitative finance with practical explanations and implementations in R. Each section is made up of these two elements, which are deeply interrelated and ultimately inseparable. A series of exercises helps the user succeed and overcome obstacles in the learning process.