Beyond Diversification: A Tripartite Framework for Dynamic Portfolio Concentration and Suitability Risk Governance (International Journal of Financial Management and Economics)

Summary

• Global asset management is projected to reach $200 trillion by 2030 as private market investments and tokenized products increase instrument-level risks.p.1
• Traditional Herfindahl-Hirschman Indexes measure issuer and sector distribution evenness but fail to capture product volatility, liquidity, or investor suitability risks.p.2
• The tripartite framework evaluates portfolio concentration across three distinct continuous AUM-based dimensions: High-Risk Product Concentration, Single Issuer Concentration, and Out-of-Profile Investment Exposure.p.2
• The empirical research methodology observed a demonstration panel of 250 synthetic discretionary portfolios over 8 sequential quarters, yielding 2,000 total quarterly observations.p.5
• Pairwise correlation calculations between HRPC, SIC, and OOP remained below 0.25 in the demonstration panel, confirming the three indicators act as distinct non-redundant risk metrics.p.6
• Dynamic joint threshold monitoring of all three metrics reduces the time required to detect potential concentration and suitability violations compared to static single-metric analysis.p.1

Key insights

1. Standard concentration metrics like the Herfindahl-Hirschman Index assess distribution evenness but remain agnostic to the risk or suitability of concentrated assets.p.2
2. Global asset management is anticipated to reach $200 trillion by 2030 alongside expanding private market assets and tokenized instruments.p.1
3. European regulation mandates continuous target market governance and ongoing portfolio suitability monitoring rather than one-off onboarding assessments.p.2
4. Out-of-profile investment exposure acts as a behavioral and operational risk driver arising from imperfect risk profiling and stale client information over time.p.3
5. The proposed tripartite risk framework evaluates High-Risk Product Concentration, Single Issuer Concentration, and Out-of-Profile Exposure as separate percentages of total AUM.p.4
6. A simulated increase of one standard deviation in High-Risk Product Concentration produced a positive and statistically significant increase in portfolio risk exposure score.p.6
7. Combining the three risk indicators into a single composite index was deliberately avoided to prevent double counting overlapping risks and masking root causes.p.6