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.