Standard I - Professionalism (Standards of Professional Conduct)

The first standard, professionalism, has four sub-parts:

A. Knowledge of the Law
The members and candidates must know, understand, and comply with any law, or regulation governing their professional activities. In case of a conflict the member/candidate must comply with the stricter law. They should not knowingly participate in any activity that is in violation of the law.

B. Independence and objectivity
The members and candidates must act with independence and objectivity while performing their professional activities. They should not take any gifts or benefits of any kind that could hamper their independence and objectivity in performing their duties.

C. Misrepresentation
Members and Candidates must not knowingly misrepresent any information relating to investment analysis, recommendations, actions, or other professional activities.

D. Misconduct
The CFA members and candidates should not engage in any kind of misconduct, such as fraud, dishonesty or deceit, or any such act that adversely reflects upon their professional competence.

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.