Standard V – Investment Analysis, Recommendations, and Actions

This standard has two parts:

A. Diligence and Reasonable Basis

This standard states that the member must exercise diligence, independence, and thoroughness while analyzing investments, making recommendations, and taking investment actions.

The member must also have a reasonable basis supported by research and investigation for investment analysis, recommendations, and actions.

B. Communication with Clients and Prospective Clients

This standard states that the members disclose their investment processes to clients and prospective clients. This includes information such as formats, investment principles, and changes in the processes, etc.

The members should reasonably identify the important factors affecting their investment processes and communicate them to their clients.

The members while presenting investment analysis to clients should distinguish between facts and opinions.

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 $29 (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.