Standard VI – Conflicts of Interest

This standard has three parts:

A. Disclosure of Conflicts

This standard states that the members must make full and fair disclosures of all matter that could give rise to a conflicting situation with clients or employers, for example, any act that could interfere with the member’s duties towards its employer. The member should also ensure that the disclosure information is communicated effectively.

B. Priority of Transactions

This standard states that for a member the investment transactions for his clients and employers should take priority over his personal investment transactions.

C. Referral Fees

This standard states that if a member receives any referral fees (compensation or benefit) for recommending a product or service, he must disclose it to the concerned people such as employer and clients.

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.