Risk Framework Evolution

From Strong Start

to Bank‑Grade.

A pragmatic roadmap from today's workable model to a scalable, data‑driven risk architecture.

Built on your existing two‑pillar logic.
Enhanced for growth, regulators, and institutional funding.
01

A Solid Foundation

Your framework already captures the essential logic. Phase 2 is about tightening the methods, not replacing them.

Two clear pillars

Asset quality and repayment capacity — the right structural separation for an asset-based lender.

Structured, stepwise analysis

Blacklist → Location → Building → VaR: a logical progression from hard stops to nuanced scoring.

Transparent criteria

Scoring matrices and clear descriptions make the framework explainable to stakeholders and regulators.

41 deals and growing

A real portfolio generating real data — the raw material for calibration and refinement.

Current Architecture

PILLAR 1
Asset Quality
Blacklist
Location Score
Building Score
Value at Risk
PILLAR 2
Repayment Capacity
Profitability
Liquidity
Leverage
Added Value

Missing: Integration layer — combined risk grade → LTV / pricing / covenants

02

Where the Framework Holds You Back

Five structural gaps that limit precision, create blind spots, and reduce your ability to price risk correctly.

03

Deep Dive: Asset Pillar

Strengthening the blacklist, location score, building score, and VaR/LGD methodology.

Blacklist & Hard Stops

Today
  • × Limited to contamination, asbestos, zoning conflicts, legal disputes
  • × No climate/flood risk screening
  • × No tenant quality as hard stop
  • × No ESG exclusion criteria
Upgrade (0–12 months)
  • Add climate & flood risk filter (flood maps, insurability)
  • Tenant red flags: single tenant + weak credit + short lease → conditional
  • ESG no‑go's: heavy VLAREM risks, CO₂‑intensive activities
  • Decision tree a junior can follow without interpretation

Location & Building Score

Now

One generic weighting for all asset types. Subjective items like "prestige" and "zichtlocatie" leave room for interpretation.

Current weights (all types)

Macro‑location
35%
Accessibility
25%
Environment
30%
Zoning
10%
Next

Type‑specific scorecards with hard, reproducible inputs: drive‑time, ADT, zoning, VITO data.

Logistics

Macro
40%
Access
40%
Env
10%
Zone
10%

Office (urban)

Macro
25%
Access
25%
Env
40%
Zone
10%

Retail (strip)

Macro
15%
Access
30%
Env
50%
Zone
5%

Building Score Reweighting

Current

Current State
70%
Sustainability
N/A
Flexibility
30%

Proposed

Current State
45%
Sustainability
30%
Flexibility
25%

Value at Risk & LGD

Today
  • 3‑year inflation/deflation brackets + linear aging
  • Blend of forced sale + free sale × score
  • LGD adjusted because loan is "too big" in portfolio
  • Conflates asset risk with portfolio concentration
Target Method
  • Scenario‑based values using cap‑rate shocks
  • Separate asset LGD from portfolio limits
  • Explicit rules: years of VaR allowed, deal thresholds
  • Type‑specific LGD curves as data grows
Scenario Example
Base
Current value
75%
Adverse
Cap rate +150 bps
65%
Severe
Cap rate +250 bps
55%

Max LTV determined by adverse scenario. Severe for concentration cases.

04

Deep Dive: Counterparty & Cash Flow

From macro ratios to deal‑level cash flow metrics, and a single combined risk grade.

From Macro to Deal‑Level

Replace

Generic SME survival ratios, macro added‑value stats from older studies

With

Deal‑specific DSCR and ICR focused on the lease/debt obligations

Robust Sponsor Metrics

Net debt / EBITDA
Equity buffer assessment
Group support analysis

Distinguish "strong sponsor / weak asset" vs "strong asset / weak sponsor"

One Combined Risk Grade

Asset score (location, building, sustainability, LGD band) meets financial score (DSCR, ICR, leverage).

Matrix → defines LTV, pricing range, and monitoring level.

Integrated Risk Decision Matrix

Combined asset + financial score → LTV, pricing, monitoring

Strong AssetMedium AssetWeak Asset
Strong CF
75% LTV +100 bps
75% LTV +100 bps
65% LTV +200 bps
Medium CF
75% LTV +100 bps
65% LTV +200 bps
55% LTV +350 bps
Weak CF
65% LTV +200 bps
55% LTV +350 bps
55% LTV +350 bps
Comfortable — standard terms
Conditional — extra mitigants
Exception only — MT override required
05

What the Upgraded Framework Gives You

The bridge from 41 deals to institutional‑grade capital.

Sharper Pricing, Same DNA

You keep your current logic, but every risk step has a visible pricing and LTV impact. No more binary accept/reject — continuous risk‑adjusted terms.

Conversation‑Ready

Clear separation of asset risk, counterparty risk, and concentration limits, with documented assumptions. Ready for banks, regulators, and institutional funders.

Future‑Proof & Data‑Driven

Every deal logged with scores and outcomes — raw material for PD/LGD curves later. Sustainability integrated from day one, not retrofitted.

06

How We Propose to Work With You

A two‑phase engagement that delivers quick wins while building toward institutional readiness.

P1

Phase 1

6–8 weeks

  • Translate current framework into structured scorecards and Excel tools
  • Design the risk grid for LTV / pricing / covenants
  • Integrate sustainability / EPC‑NR and basic VaR scenarios
  • Build decision trees for blacklist and hard stops
  • Define DSCR/ICR thresholds and financial score bands
P2

Phase 2

6–12 months

  • Pilot on all new deals, log data and overrides systematically
  • Quarterly refinement of thresholds and score bands
  • Portfolio dashboard: concentrations, scenario impact, expected loss
  • Simple stress‑testing routines (expert‑based shocks)
  • Formal model governance framework with annual recalibration

Ready to discuss the roadmap?

Let's turn this diagnosis into a concrete implementation plan tailored to your portfolio and growth trajectory.

Schedule a Working Session