What is the difference between Conventional and Evidence-Based Investment Management?

October 28, 2016


For those of you who often read the financial press, you may have noticed a lot of articles about the recent surge in "Passive" investing versus "Active" investing.


We'd like to re-frame the discussion here and classify investing in three different ways.


"Active" management almost always describes the "Conventional" method of picking stocks.  A portfolio manager tries to outguess the market by buying and selling stocks at the right time.


"Passive" investing has described index investing for some time now.


"Evidence-based investing" is an alternate and better approach.




  • Attempts to identify mispricing of securities

  • Relies on forecasting to select "undervalued" securities or time markets

  • Generates higher expenses, trading costs and risks




  • Allows a commercially-developed index to determine strategy

  • Attempts to match an index's performance, restricting which securities to hold and when to trade

  • Prioritized matching the index over higher expected returns




  • Gains insights about markets and returns from academic research

  • Structures portfolios along the dimensions of expected returns

  • Adds value by integrating research, portfolio structure and implementation


The picture below shows how a well-diversified portfolio can emphasize market areas offering higher expected return potential.


 The chart below demonstrates the challenges mutual funds managers face in beating the market.


Dimensional Fund Advisors (DFA) is the leading provider of Evidence-Based Investing solutions.  The academics whose research discovered the dimensions of higher expected returns (small vs. arge, value vs. growth, profitability and market exposure) are on the board of DFA and actively involved in further research to discover more dimensions.



Please reload


Subscribe to our newsletter to stay up to date on investment and wealth management news

Recent Posts
Please reload

Please reload

Search By Tags
Please reload

You might also enjoy reading: