Link to Content:

DataCamp Intermediate Portfolio Analysis in R

Created/Published/Taught by:

DataCamp

Ross Bennett

Lore Dirick

Davis Vaughan

Content Found Via:

DataCamp

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $29.00

Tags: financial analysis / PerformanceAnalytics / R

Difficulty Rating:

FromĀ DataCamp:

“This course builds on the fundamental concepts from Introduction to Portfolio Analysis in R and explores advanced concepts in the portfolio optimization process. It is critical for an analyst or portfolio manager to understand all aspects of the portfolio optimization problem to make informed decisions. In this course, you will learn a quantitative approach to apply the principles of modern portfolio theory to specify a portfolio, define constraints and objectives, solve the problem, and analyze the results. This course will use the R package PortfolioAnalytics to solve portfolio optimization problems with complex constraints and objectives that mirror real world problems.”

This course consists of four chapters:

- Introduction and Portfolio Theory
- Portfolio Optimization Workflow
- Objective Functions and Moment Estimation
- Application

Recommended Prerequisites: Introduction to Portfolio Analysis in R

Go to Content: DataCamp – Intermediate Portfolio Analysis in R

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