Rollie Khay
Rollie Khay
Quantitative Real Estate Analyst  ·  Math & Physics
A Complete 2–3 Week Engagement

Your real estate portfolio —
mathematically optimized.

Most investors with $1M+ in real estate have built a collection of individually reasonable deals — never a portfolio examined as a mathematical system. The Portfolio Optimization Review changes that, permanently.

$10,997
Complete Engagement
Report · Models · Tools · Sessions
Begin Your Portfolio Optimization Review →

Limited to 2 new engagements per calendar week  ·  2–3 weeks from intake to handoff

8
Sections of quantitative analysis
20–30
Page professional report
10,000
Monte Carlo simulations run
2–3
Weeks — start to handoff
The Problem

You have built a portfolio.
But have you ever seen it
through a mathematical lens?

Most real estate investors — including physicians, engineers, attorneys, and business owners with $1M–$10M in property — make portfolio decisions based on gut instinct, broker advice, and individual deal metrics. Individual deal metrics tell you almost nothing about how your portfolio behaves as a system.

Can you state your portfolio-level IRR — not individual deal IRR — right now?
Do you know the true correlation between your properties and what it means for your real diversification?
Have you ever calculated the Sharpe ratio of your entire portfolio?
What happens to your cash flow in a recession with 15% vacancy and a 200bps interest rate spike?
Is your portfolio sitting on the efficient frontier — or are you leaving return on the table?
The Engagement

One review.
Eight sections of analysis.
A complete system you own.

The Portfolio Optimization Review is a single, complete engagement — not a tiered offering. Every client receives the full depth of analysis below. Tap any section to see exactly what is analyzed and delivered.

01Portfolio Diagnostic
2 pages+

A full audit of your current portfolio before optimizing anything — you cannot prescribe without diagnosing first.

  • Current return on each property — actual cash-on-cash, IRR to date
  • Risk profile per property — vacancy history, tenant concentration, debt structure
  • Geographic and property type concentration
  • Correlation between properties — do they all move together?
  • Debt structure — fixed vs variable rate, maturity schedule, refinancing risk
  • Liquidity profile — how quickly each position could be exited
Deliverable: 2-page diagnostic summary with key risk flags highlighted
02Return & Risk Measurement
3 pages+

The true risk-adjusted return of your portfolio — calculated rigorously, not estimated.

  • Portfolio-level IRR — not just individual deal IRR
  • Sharpe ratio — return per unit of risk across the whole portfolio
  • Sortino ratio — penalizing only downside volatility
  • Maximum drawdown — worst historical decline in portfolio value
  • Volatility of returns — month-to-month cash flow stability
  • Value at Risk (VaR) — maximum expected loss at 95% confidence
Deliverable: 1-page risk-return scorecard with benchmarks
03Correlation Analysis
2 pages + charts+

How your properties move together. If everything rises and falls at once, you have no real diversification — just the illusion of it.

  • Return correlation between every pair of properties
  • Market correlation — are all properties exposed to the same local economy?
  • Tenant type correlation — same industry or income level?
  • Interest rate sensitivity per property
  • Full correlation matrix visualization
Deliverable: Correlation matrix with plain English interpretation of concentration risks
04Efficient Frontier Construction
3 pages + charts+

The single most powerful section in the report. Using the data from Sections 2 and 3, your portfolio's true position is mapped against every mathematically optimal allocation.

  • Where your current portfolio sits on the risk-return spectrum
  • The efficient frontier curve — every point an optimal portfolio
  • How much return you are leaving on the table by not optimizing
  • How much unnecessary risk you take for the return you receive
  • The gap between current and optimal — quantified in annual dollars
Deliverable: Efficient frontier chart with current portfolio plotted and gap analysis
05Optimization Recommendations
4 pages+

Specific changes to move your portfolio toward the optimal zone — every recommendation mathematically justified, never an opinion.

  • Sell recommendations — which properties drag down risk-adjusted returns
  • Buy recommendations — property types and markets that would improve the portfolio
  • Geographic and property type rebalancing
  • Debt restructuring — refinancing unnecessary variable rate risk
  • Position sizing adjustments

"Removing this property increases Sharpe ratio from 0.82 to 1.14 while reducing maximum drawdown by 23%." — not opinion. Mathematics.

Deliverable: Prioritized recommendation list with mathematical justification for each
06Monte Carlo Stress Testing
4 pages + charts+

10,000 simulations of your current and optimized portfolio under six distinct economic scenarios.

  • Base case — most likely economic environment
  • Recession scenario — GDP contraction, rising vacancy, falling rents
  • Interest rate spike — rates rise 300 basis points rapidly
  • Local market shock — one key market declines 20%
  • Pandemic-style scenario — sudden vacancy spike across all properties
  • Inflation scenario — costs rise faster than rents
Deliverable: Side-by-side Monte Carlo comparison — current vs optimized across all scenarios
07Implementation Roadmap
3 pages+

Analysis without implementation guidance is useless. Every recommendation becomes a specific, time-bound action.

  • Priority order of changes — first, second, third
  • Realistic 12–36 month implementation schedule
  • Tax considerations — sequencing sales to minimize capital gains impact
  • Market timing guidance for each transaction
  • Specific trigger conditions that signal when to execute each step
Deliverable: 12-month implementation roadmap with action items and decision triggers
08Monitoring Dashboard & Python Models
1 page + 4 model files+

The engagement does not end with a report you file away. It ends with you operating a complete quantitative system — independently and permanently.

  • Excel/Google Sheets dashboard pre-loaded with your portfolio — update monthly in 20 minutes
  • Monte Carlo Simulation Model — drop in a new deal, see the full portfolio impact instantly
  • Correlation Matrix Model — auto-alerts when any pair exceeds the 0.85 danger threshold
  • Efficient Frontier Model — recalculates your position as your holdings change
  • Sharpe Ratio Calculator — continuously benchmarked against your target range
Deliverable: Custom dashboard + 4 working Python model files, calibrated to your portfolio, yours permanently
What the Deliverable Looks Like

A professional report.
20–30 pages plus supporting models.

Every component below is included in full — not a sample, not a summary. This is the complete document you receive at the end of the engagement.

ComponentFormat
Executive Summary2 pages
Portfolio Diagnostic3 pages
Risk-Return Analysis3 pages
Correlation Analysis2 pages + charts
Efficient Frontier Analysis3 pages + charts
Optimization Recommendations4 pages
Monte Carlo Stress Tests4 pages + charts
Implementation Roadmap3 pages
Monitoring Dashboard1-page template
Supporting Python ModelsDelivered as files
Total20–30 pages + models
Your Process

A defined engagement.
Not an open-ended retainer.

Every phase has a stated duration. You always know exactly where you are in the process and what happens next.

Phase 1
Data CollectionUpon Submission
After payment you complete the intake form — data across up to 8 properties plus 12 diagnostic questions answered in writing. The moment you submit, data collection is complete. Work begins within 24 hours.
Phase 2 — Most Intensive
Building Models & Running Analysis8–12 Days
All 8 sections of the engagement are built using your specific data — correlation matrix, efficient frontier, Monte Carlo simulation across 6 scenarios, and your full set of recommendations. This is the core analytical work and it takes real time to do properly.
Phase 3
Writing the Report3–4 Days
Your complete 20–30 page report is written from the model outputs. Every finding translated into precise, actionable language.
Phase 4
Review Call1 Hour
Your report is sent to you 24–48 hours in advance so you can read it independently first. We then walk through every section together on a scheduled call — your questions, your context, in real time.
Phase 5
Revisions & Final Delivery1–2 Days
Your feedback from the Review Call is incorporated. The final polished report and every supporting file is delivered — the report, the 4 Python models, your dashboard, your decision framework, and your roadmap.
Phase 6 — Final Phase
Handoff Session60 Minutes
A live training session where you operate every tool yourself — the dashboard, the Monte Carlo model, the decision framework — with guidance. You leave equipped to run the entire system independently.
The Number That Matters Most

How much are you leaving on the table?

Most portfolios in the $1M–$10M range carry a meaningful gap between where they currently sit and where the mathematics says they could sit — at the exact same level of risk.

Most Portfolios Sit Here — Below Optimal Optimized Same Risk, More Return RETURN (IRR) RISK (VOLATILITY)
Typical Unoptimized Sharpe Ratio
0.50 – 0.65
Achievable Optimized Sharpe Ratio
0.85 – 1.10
Typical Annual Gap on a $2M Portfolio
$30,000 – $80,000
Per year, at the same risk you are already taking. This is what the Efficient Frontier section of your report quantifies precisely for your specific portfolio.
Your Investment

A complete, mathematically
justified engagement.

Portfolio Optimization Review
$10,997
On a $2M portfolio, a 1.9% improvement in annual return recovers this investment in under 4 months — and continues compounding every year after. $10,997 is not the cost of this engagement. It is the cost of knowing exactly what your portfolio could be, and having the system to get it there.
  • Full quantitative analysis across all 8 sections
  • 20–30 page professional report, written specifically for your portfolio
  • 4 working Python model files — yours to keep permanently
  • Custom monitoring dashboard pre-loaded with your data
  • Decision framework document for every future portfolio decision
  • 1-hour Review Call walking through every finding with you
  • 60-minute Handoff Session — you operate every tool independently
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Begin Your Portfolio Optimization Review — $10,997

Limited to 2 new engagements per calendar week  ·  US and international clients welcome

Is This Right For You?

This engagement is designed for
a specific type of investor.

This is for you if —

  • You have a real estate portfolio worth $1M or more
  • You are analytical by nature — physician, engineer, attorney, or business owner
  • You suspect your portfolio is not optimized but have no framework to verify it
  • You want rigorous mathematical analysis — not gut-feel advice
  • You make decisions based on evidence, not emotion
  • You want a system you operate independently — not an ongoing dependency

This is not for you if —

  • You are just getting started with your first property
  • You want generic advice available for free online
  • You are not willing to share honest, detailed numbers about your portfolio
  • You prefer intuition-based investing over quantitative frameworks
  • You are looking for ongoing hourly advisory rather than a defined deliverable
Rollie Khay
Rollie Khay
Quantitative Real Estate Analyst  ·  Viregenix LLC
Who You Are Working With

Math and physics applied
to real estate investing.

Most real estate advice comes from people who know deals. I come from a background in mathematics and physics — disciplines built entirely around modeling complex systems, quantifying uncertainty, and finding optimal solutions under constraints.

Real estate portfolios are complex systems. They have correlation, entropy, flow dynamics, and optimization surfaces — most investors simply never see them that way. My work is to make those invisible forces visible, quantifiable, and actionable.

Through Viregenix LLC I apply the same quantitative frameworks that institutional investors — pension funds, family offices, private equity — use as standard practice. Now applied to individual and mid-market portfolios that have never had access to this level of analysis before.

Statistical Mechanics Monte Carlo Simulation Portfolio Optimization Risk Modeling Quantitative Analysis Efficient Frontier