Introduction to Portfolio Analysis in R

Business and Economics

Short Description

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Long Description

In the field of investing, it is essential to adhere to a fundamental principle: thoroughly test the portfolio strategy using historical data and continuously monitor its performance once implemented. This course offers a comprehensive understanding of this principle through the critical analysis of portfolio returns using the PerformanceAnalytics package. Additionally, the course provides insights into estimating portfolio weights that effectively balance risk and return. By combining portfolio theory with practical applications in R, the course utilizes real-life examples of equity portfolios and asset allocation problems. Upon completion of this data-driven course, individuals can further explore the data by accessing the tseries-package, which contains the data used in the first three chapters. Furthermore, the data used in chapter 4 can be conveniently downloaded here.

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Course Details

Duration: 5 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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