Michael Brenndoerfer | Data & AI, Private Equity, Technology

Michael Brenndoerfer

Liquidity Risk and Other Non-Market Risks › Integrating Quantitative and Qualitative Risk Management

Michael BrenndoerferDecember 24, 20253 min read

Quantitative FinanceAll chapters

Part 10 of 15Risk Management and Financial Risk Controls

Chapter 57Liquidity Risk and Other Non-Market Risks › Integrating Quantitative and Qualitative Risk Management

Reading section 12 of 14 · Integrating Quantitative and Qualitative Risk Management · 3 minSection 12 of 14 · 3 min

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The most effective risk management frameworks integrate quantitative measures with qualitative assessments, recognizing the strengths and limitations of each approach.

In[31]:

Code

def risk_dashboard(
    market_var,
    credit_var,
    lvar_adjustment,
    operational_reserve,
    model_risk_adjustment,
    qualitative_concerns,
):
    """
    Create an integrated risk summary combining quantitative
    and qualitative assessments.
    """
    # Quantitative measures
    total_quant_risk = (
        market_var + credit_var + lvar_adjustment + operational_reserve
    )

    # Qualitative risk score (1-10 scale)
    qual_score = len(qualitative_concerns) * 1.5  # Higher with more concerns
    qual_score = min(10, qual_score)

    # Total risk capital suggestion
    quant_buffer = total_quant_risk * model_risk_adjustment

    return {
        "market_var": market_var,
        "credit_var": credit_var,
        "liquidity_adjustment": lvar_adjustment,
        "operational_reserve": operational_reserve,
        "total_quantitative": total_quant_risk,
        "model_risk_buffer": quant_buffer,
        "qualitative_score": qual_score,
        "qualitative_concerns": qualitative_concerns,
        "total_with_buffer": total_quant_risk + quant_buffer,
    }


# Example risk dashboard
dashboard = risk_dashboard(
    market_var=50_000_000,
    credit_var=20_000_000,
    lvar_adjustment=15_000_000,
    operational_reserve=10_000_000,
    model_risk_adjustment=0.20,  # 20% buffer for model uncertainty
    qualitative_concerns=[
        "New product line with limited historical data",
        "Key model developer recently departed",
        "Elevated geopolitical uncertainty",
        "Upcoming regulatory changes may affect capital treatment",
    ],
)

Out[32]:

Console

Integrated Risk Dashboard
=======================================================

Quantitative Risk Measures:
  Market VaR (99%, 1-day):    $    50.0M
  Credit VaR:                 $    20.0M
  Liquidity adjustment:       $    15.0M
  Operational reserve:        $    10.0M
-------------------------------------------------------
  Total quantitative risk:    $    95.0M
  Model risk buffer (20%):    $    19.0M
  Total with buffer:          $   114.0M

Qualitative Risk Assessment: 6.0/10

Active Concerns:
  • New product line with limited historical data
  • Key model developer recently departed
  • Elevated geopolitical uncertainty
  • Upcoming regulatory changes may affect capital treatment

Out[33]:

Visualization

Horizontal stacked bar chart showing integrated risk capital divided into market VaR, credit VaR, liquidity adjustment, operational reserve, and model risk buffer components, with a dashed vertical line marking the total risk capital requirement. — Summary of integrated risk capital requirements including market, credit, and liquidity risk. The dashboard explicitly includes an operational reserve and a 20% model risk buffer to account for the inherent uncertainty in quantitative estimates, and gives a more comprehensive view of institutional solvency requirements.

The dashboard presents quantitative risk measures alongside qualitative concerns, preventing false precision while maintaining rigor. The model risk buffer acknowledges uncertainty in quantitative estimates, while the qualitative assessment ensures human judgment informs decision-making.