Standard III (C) - Suitability

  1. Before making an investment recommendation or action, the members must reasonably enquire into the client’s investment experience, his risk/return objectives, and any limitations.
  2. Before making an investment recommendation or action, the members must determine that the investment being advised is suitable for the client in terms of the client’s objectives, financial goals, and limitations.
  3. The member must also ascertain whether the investment being recommended is suitable in context of the client’s overall portfolio.

Examples of Violation

  • Example 1: An investment manager recommends two different clients with different risk profiles the same portfolio allocation.
  • Example 2: An investment manager learns that one of his client’s financial situation has changed as he lost lots of money in his business. This affects the client’s investment objectives but the investment manager does not update his investment policy statement to reflect the change objectives.
  • Example 3: For a particular high-income mutual fund, an investment manager decides to purchase a growth stock. This is against the fund’s investment mandate.

Related Downloads

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.