The Behavioral Science Behind Financial DNA Natural Behavior

When our team initially designed the Financial DNA platform, they sought out to solve one problem, and weren’t thinking as big as “behavioral science”.

Hugh Massie, our founder, was a financial advisor and set out in 2001 to understand why his clients acted differently and made unexpected decisions when they were under pressure, or as he calls a “behavioral flip”. He wanted a way to predict these client behaviors in advance of experiencing them first-hand when the markets suddenly changed. This desire ultimately drove Hugh to develop the Natural Behavior discovery, which is the foundation of the Financial DNA product line.

Once Hugh as able to predict the behavioral flip of his clients, the overall objective became bigger. To build a system that would holistically uncover all dimensions of a client’s financial personality. It was important that the system first uncovers the client’s natural instinctive behavior which would reliably predict their long-term pattern of decision-making and would be their “go-to” style under pressure. Further, the assessment of behavior needed to be broad and deep enough to uncover a wide range of personality factors which would identify how clients make decisions (including their inherent biases), take advice, interact and build relationships, achieve results, handle information, manage budgets, develop trust, set and achieve goals, take and live with risks and learning styles.

The Investor and Advisor View of Market Mood

In finalizing our approach in April 2001, we conducted extensive research on which psychometric assessment model would be most dependable in terms of predicting deep-rooted personal behavioral traits. Our research concluded that the use of a Forced-Choice (“Ipsative”) Assessment Format would produce the best results for discovering client Natural Behaviors and a separately used Likert Scale Format would produce the best results for discovering Learned Behaviors. All other “Fintech” Risk Profile solutions available in the market (back in 2001 and even today) use a Traditional Likert-type Scoring Model (Self-scoring in ranges of 1 to 5 or 1 to 7 as to how a particular situation would apply or use a True/False approach).

Our investigations identified the following:

  • The traditionally used questionnaire formats have been academically disproven to produce sufficiently accurate or reliable predictions of behavior.
  • Other “FinTech” Risk Profiles available use a Likert Scoring model which allow for self-promotion and a higher chance of faking, which inherently inhibits their shelf life and accuracy (results of typical risk profile had ranging shelf lives of 6 months to 1 year).
  • Independent academic research shows that Likert Model Risk Profiles overinflate the risk scores one standard deviation higher than under a Forced-Choice (ipsative) format. In the context of risk profiling, this level of inaccuracy could have a materially negative impact on a client’s investment portfolio.

In conclusion, forced-choice measures don’t allow for self-promotion and will provide a more accurate reflection of a person’s life and finances, decision-making, strengths, and struggles over longer time periods. Therefore, we believe that this approach must be the Platinum Standard for any behavioral science process used for financial behavior discovery in preparing a financial plan and building an investment portfolio.

If you would like to learn more about the meaningful contributions of the Financial DNA Advisory Program, please contact us.

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Different
behavioral insights.

123 Countries

Discoveries Completed
in over 123 Countries.

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Result for risk and other
insights last a lifetime.

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Financial DNA Behavioral Science in the Media: 

First appeared on Nasdaq.

Behavioral sciences teams can influence business strategy, decision-making, and service offerings through deep insight into human behavior. These abilities in a team help mitigate failure and decrease industry waste.