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The Finliti Investor Profile Indicator: a psychometrically valid tool for assessing individual differences among self-directed investors.

A digital version of the Finliti and University of Toronto Scarborough research poster, organized for easier review across abstract, method, correlations, and applied findings.

Jennifer SchellFinliti Corporation
Stefano I. Di DomenicoUniversity of Toronto Scarborough
SampleN = 237
Mean age42.19
Traits measured4
Core frameSelf-directed investors

Abstract

This study reports on the continued psychometric validation of FIPI. The framework measures four traits that characterize the cognitive, emotional, and behavioral tendencies of self-directed investors: Zeal, Inhibition, Conventionality, and Swag.

In this sample of American adults with active self-directed investment accounts, the traits showed both convergent and divergent validation with investing-related tendencies. Zeal tracked with more active trading, Inhibition with lower self-efficacy, Conventionality with ESG-related attitudes, and Swag with stronger self-reported returns and confidence.

These associations held even after controlling for demographic variables, Big Five traits, and financial literacy, supporting the use of FIPI as an applied framework for more personalized guidance, financial inclusivity, and investor education.

Introduction

The poster frames FIPI as a response to a real market gap: self-directed investment activity surged during the COVID-19 period, while KYC processes still focused mostly on risk tolerance and investment knowledge.

  • Retail trading activity increased alongside self-directed account demand.
  • Traditional onboarding tools were not designed as psychometrically valid personalization tools.
  • FIPI was developed to profile individual differences among self-directed investors.

Method

American adults with active self-directed investment accounts completed personality, financial literacy, and investor-outcome questionnaires.

  • Sample: American adults, M_age = 42.19, SD = 12.42, total N = 237.
  • Background measures: Big Five personality traits and financial literacy.
  • Outcome measures: risk tolerance, trading frequency, financial self-efficacy, portfolio returns, use of ESG information, and ESG enthusiasm.

Zeal

Interest, enthusiasm, and a stronger willingness to pursue active investment opportunities.

Inhibition

Anxiety, hesitation, and decision paralysis when uncertainty rises.

Conventionality

Deference to perceived authority and a stronger pull toward outside reassurance.

Swag

Competence, confidence, and comfort acting with conviction.

Results

Correlations with age, gender, Big Five traits, and financial literacy.

The poster reports statistically significant correlations at p < .05 for values with magnitude above .11. Gender is coded Female = -1 and Male = 1.

TraitAgeGenderNEO/IACFin Lit
Zeal-.25.07-.02.25.15.03.05-.27
Inhibition-.19-.19.55-.39-.34-.22-.49-.11
Conventionality-.17-.23.15.06.03.14.07-.38
Swag.18.29-.46.36.23.10.41.15

The Big Five traits were measured with the Big Five Aspects Scale. The strongest pattern in the table is the distinct profile each FIPI trait carries across personality and financial literacy measures.

Risk tolerance

Zeal
Inhibition
Conventionality
Swag

Trading frequency

Zeal
Inhibition
Conventionality
Swag

Financial self-efficacy

Zeal
Inhibition
Conventionality
Swag

Portfolio returns

Zeal
Inhibition
Conventionality
Swag

Use of ESG information

Zeal
Inhibition
Conventionality
Swag

ESG enthusiasm

Zeal
Inhibition
Conventionality
Swag

Discussion

The traits show expected links with personality and financial literacy.

  • Zeal and Swag align more with active interest, extraversion, and opportunity sensitivity.
  • Inhibition aligns with anxious uncertainty, lower conscientiousness, and reduced self-efficacy.
  • Conventionality shows the strongest negative relationship with financial literacy.

Applied findings

The traits also show expected links with investing outcomes.

  • Zeal and Swag are associated with greater risk tolerance and trading frequency.
  • Inhibition and Conventionality align with lower returns in the poster discussion.
  • The framework supports tailored education journeys and tailored portfolio strategies at scale.