- Seven Standards of Professional Conduct
- Standard I (A) Professionalism - Knowledge of the Law
- Standard I (B) Professionalism - Independence and Objectivity
- Standard I (C) Professionalism - Misrepresentation
- Standard I (D) Professionalism - Misconduct
- Standard II (A) - Material Non-public Information
- Standard II (B) - Market Manipulation
- Standard III (A) - Loyalty, Prudence, and Care
- Standard III (B) - Fair Dealing
- Standard III (C) - Suitability
- Standard III (D) - Performance Presentation
- Standard III (E) - Preservation of Confidentiality
- Standard IV (A) - Loyalty
- Standard IV (B) - Additional Compensation Arrangements
- Standard IV (C) - Responsibilities of Supervisors
- Standard V (A) - Diligence and Reasonable Basis
- Standard V (B) - Communication with Clients and Prospective Clients
- Standard V (C) - Record Retention
- Standard VI (A) - Disclosure of Conflicts
- Standard VI (B) - Priority of Transactions
- Standard VI (C) - Referral Fees
- Guidance for Standard VII – Responsibilities of a CFA Institute Member or CFA Candidate
Standard I (D) Professionalism - 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.
This standard covers the conduct that may not be illegal, but could adversely affect a member’s ability to perform his duties. For example, being drunk at work is in violation of the standard. Similarly, conviction of a crime involving fraud is a violation of Standard I (D). However, if a member is convicted of a misdemeanour involving civil disobedience in support of one’s personal beliefs, it is not a violation of the Standard. This is because the Standards do not focus on personal conduct as long as the conduct does not reflect poorly on one’s professional reputation, integrity, or competence.
Related Downloads
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.