Client Capital Advisory

Simple Risk Aggregation Example Web App

A simple Monte Carlo solvency example: estimate required capital, identify the main risk drivers, and review the resulting risk profile.

Scenarios: 10000 | Seed: 3862255146 (generated) | Copula: gaussian

Context and interpretation notes for this demonstration model.

Executive Summary

A short summary of the current simulation run.

Equity
10.000000
SCR (VaR 99.5%)
8.774023
Free Equity
1.225977
Coverage Ratio
1.139728

Interpretation

Coverage Ratio >= 1.0: capitalized above SCR threshold. Coverage Ratio < 1.0: capital shortfall versus SCR.

  • Primary diversified charges: Real Estate 2.373472, Spread 3.753067, Interest Rate 0.814580.
  • Total diversified SCR equals 8.774023 and is benchmarked against available equity.

Results

Simulation outputs based on the current assumptions.

Diversified SCR Allocation

Risk Allocated SCR
Real Estate2.373472
Spread3.753067
Interest Rate0.814580
Technical Provisions1.675461
Non-linear0.157444
Total8.774023

Undiversified VaR (99.5%)

Risk VaR
Real Estate6.209876
Spread7.425472
Interest Rate3.951758
Technical Provisions3.382899
Non-linear0.600311

Visual Summary

Tail scenarios (losses at or above SCR): change in assets versus change in liabilities relative to the base balance sheet.

Simulated risk factors across scenarios, shown as a scatter matrix with color indicating total loss.

Empirical loss function (ECDF): cumulative probability of total loss, with SCR and 99.5% reference lines.

Assumptions & Inputs

Adjust assumptions and rerun the model to compare strategic views.

Model Notes

Method: Monte Carlo simulation with 99.5% VaR and correlation-based aggregation.

Copula (Gaussian): GAUSSIAN copula with PSD-adjusted correlation matrix and Cholesky-based scenario generation.

Copula (T): T copula with PSD-adjusted correlation matrix, Cholesky-based scenario generation, and t-distributed tail behavior (df = 6.0 when selected).

Interpretation: Coverage Ratio >= 1.0 means available equity is at least as high as required SCR.

Limitations: Results are model-based estimates and depend on assumptions and input quality.

Balance Sheet

Real Estate

Bonds

Technical Provisions

Risk Distributions

Distribution Mapping

Real Estate Risk: Lognormal
Spread Risk: Normal
Interest Rate Risk: Normal
Technical Provision Risk: Normal

Copula Settings

Real Estate Risk Lognormal

Spread Risk Normal

Interest Rate Risk Normal

Technical Provision Risk Normal

Yield Curve
Correlation Matrix
Real Estate
Spread
Interest Rate
Tech. Provisions
Real Estate
1.00
Spread
1.00
Interest Rate
1.00
Tech. Provisions
1.00
Simulation Controls

Model Matrices

Implied dependency structure used by the simulation.

Correlation Heatmap

Correlation Matrix

1.000000 0.250000 -0.350000 -0.100000
0.250000 1.000000 0.200000 -0.150000
-0.350000 0.200000 1.000000 -0.300000
-0.100000 -0.150000 -0.300000 1.000000

Cholesky Matrix

1.000000 0.000000 0.000000 0.000000
0.250000 0.968246 0.000000 0.000000
-0.350000 0.296929 0.888444 0.000000
-0.100000 -0.129099 -0.333917 0.928349

Demo Note

Export And Review

This demonstration configuration can be adjusted by changing assumptions and scenario definitions.