CFA Level 2: Alternative Assets – Introduction

Alterative Assets are a major theme in the investing world, so CFAI expects candidates to have general knowledge about assets classes that are beyond the traditional categories of equity/stock and debt/fixed income.  The Level 2 exam covers three alternative asset classes: real estate, private equity, and hedge funds.

One item set (six questions) on alternative assets is a reasonable exam expectation.  It is unlikely that the entire item set will be dedicated to a single alternative asset, so candidates may see a six question combination covering two or three of the asset classes presented.

While this is a small part of the test, Alternative Assets can also be grounds for easy points.  Formulas are short in number and not terribly complex.  However, candidates do not want to over invest in Alternative Assets at the expense of more critical subjects.  Candidates should have some general understanding of all three alternative asset categories, but avoid getting too slowed down in the details.

This tutorial aligns with Study Session 13 material in the Level 2 CFA Program Curriculum ©.

Material:

In this tutorial, we will cover the following material:

I.          Real Estate

II.        Private Equity

III.       Hedge Funds

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $39 (Regular $57)
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.