Quantitative Finance with R

Quantitative Finance with R

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.

About The Author

Marco Neffelli is a Ph.D. candidate in Economics at the University of Genova, Italy. His main research revolves around Quantitative Finance and Financial Econometrics. He is a lecturer for the course Quantitative Finance with R at the University of Pavia, Italy. His background includes an MSc in Quantitative Finance from Cass Business School, London.

Omar Bazara holds a Master's degree in financial mathematics from Cass Business School, City University of London. Omar is a portfolio valuation analyst at IHS Markit, London. He is specialized in Credit Derivatives and working alongside a variety of different asset classes.

Learn portfolio optimization, asset pricing, and risk management with R

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What you will learn

• A solid understanding of how to analyze—with a quantitative mindset—the most important financial products such as equities, derivatives, and bonds
• Use statistical analysis to find hidden insights into financial data used in financial models and strategies
• Diversify your portfolio with hedging and eliminate unwanted risk during times of market volatility

Rating: 4.58333

Level: Beginner Level

Duration: 3.5 hours

Instructor: Packt Publishing