Optimal Portfolio Modeling: Models to Maximize Returns and Control Risk in Excel and R – Philip McDonnell

Course Overview

Optimal Portfolio Modeling: Models to Maximize Returns and Control Risk in Excel and R by Philip McDonnell is an easily accessible introduction to portfolio modeling for those who prefer an intuitive approach to this discipline. While early chapters provide engaging insights on the statistical properties of markets, this book quickly moves on to illustrate invaluable trading and risk control models based on popular programs such as Excel and the statistical modeling language R. This reliable resource presents modeling formulas that will allow you to do technical analysis, including effectively maximizing the performance, minimizing the drawdown, and managing the risk of your portfolio.

Course Outline

• Chapter 1 Modeling Market MicrostructureRandomness in Markets
• Chapter 2 Distribution of Price Changes
• Chapter 3 Investment Objectives
• Chapter 4 Modeling Risk Management and Stoploss Myths
• Chapter 5 Maximal Compounded Return Model
• Chapter 6 Utility ModelsPreferences Toward Risk and Return
• Chapter 7 Money Management Formulas Using the Joint Multiasset Distribution
• Chapter 8 Proper Backtesting for Portfolio Models
• Chapter 9 The Combined Optimal Portfolio Model

What Will You Learn?

• The random walk model
• What you cannot predict is random to you
• Market microstructure
• Efficient Market Hypothesis
• Arbitrage Pricing Theory
• And many more

Who is This Course For?

Optimal Portfolio Modeling: Models to Maximize Returns and Control Risk in Excel and R – Philip McDonnell requires a broad range of knowledge, including Excel or R, which is the reason why it may only benefit advanced traders with prior knowledge.