A.L. Capital Advisory · Private Portfolio Intelligence

Finally — a risk number,
not a risk category.

Most advisors ask if you're "conservative" or "aggressive." We solve for your exact risk aversion coefficient — the parameter that governs your optimal portfolio allocation — using the same quantitative framework institutional portfolio managers use to build client mandates.

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10+

Years Goldman Sachs
& J.P. Morgan IB

A = f(λ,σ²,μ)

Utility Theory
Scoring Engine

20

Calibrated
Assessment Questions

MVO

Black-Litterman
Portfolio Output

Example output — your result will look like this

EXAMPLE

Risk Aversion Coefficient · A_final · Black-Litterman MVO Input

Coefficient A

4.2

A_final · Utility maximisation parameter

Moderately Growth-Oriented

With a risk aversion coefficient of 4.2, your optimal portfolio balances capital growth with measured downside protection. Expected return: 9–13% p.a. Max drawdown: −25 to −35%.

Risk Position

Balanced

Time Horizon

15 years

Capacity Score

72/100 · Moderate–High

Profile Consistency

Low

Target Return

9–13% p.a.

Max Drawdown

−25 to −35%

Typical Allocation

60% Eq / 25% FI / 15% Alt

ML Divergence

Low

Risk Spectrum Position

Aggressive Growth Capital Preservation

Equities

60%

Fixed Income

25%

Alternatives

15%

Complete the assessment to generate your result

The Methodology

01

Behavioural Assessment

20 calibrated questions across 6 modules — tolerance, capacity, goals, time horizon, experience, constraints. Designed to surface how you actually behave, not how you think you do.

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02

Coefficient Derivation

Your responses are scored against revealed preference theory and utility maximisation models. The engine outputs A — your unique risk aversion coefficient, not a category label.

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03

Portfolio Generation

Coefficient A feeds directly into Black-Litterman MVO on your selected securities. Output: optimal weights, target return, max drawdown tolerance, and full simulation data.

AL

CFA Verified

Anton Ladnyi

Private Investment Advisor · MSc International Business Management

Goldman Sachs · Equity Research J.P. Morgan · Wealth Management CFA L1 & L2 Verified CFA L3 Candidate 10+ Yrs IB

"I built this tool to apply the same quantitative frameworks — utility theory, Black-Litterman optimisation, Monte Carlo simulation — that I used at Goldman and JPMorgan, for private clients who deserve institutional-grade analysis."

What You Receive

01

A

Your exact risk number

Know precisely how much equity, bonds, and alternatives your portfolio should hold — derived from how you actually behave under pressure, not what you say you prefer.

02

◈

A portfolio built for you, not a template

Black-Litterman MVO weights across your selected securities — target return, max drawdown, Sharpe estimates. Specific to your coefficient, not a generic model.

03

✦

Private implementation — from number to live portfolio

Work directly with Anton to implement your IPS, structure tax-efficiently, select the right broker, and execute. The step robo-advisors cannot take.

Client feedback

"

I'd done three different bank risk questionnaires and got three different answers — "moderate," "balanced," "moderately aggressive." Risk DNA gave me an actual number. It changed how I thought about the whole thing.

"

The portfolio simulation was more rigorous than anything my private bank had produced. The session with Anton helped me understand exactly what my current allocation was costing me in risk-adjusted terms.

"

I was sceptical about another online tool, but the coefficient-based output is genuinely different. Seeing exactly where I sit on the spectrum — with the maths behind it — made the whole exercise feel real.

~10 minutes · 20 questions · No signup required · Institutional methodology

Free · No signup

Risk Profile + Portfolio Simulation

Coefficient A, MVO weights, Monte Carlo output

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€150

Portfolio Health Check

Expert review of your existing holdings, PDF report

→

€750

Strategic Session

Full IPS, implementation, broker setup, execution

Why this is different from every other option

Standard bank questionnaire

5–10 generic questions

Output: "You are Moderate Risk"

No mathematical basis shown

Same template for all clients

No portfolio construction output

Robo-advisor

Algorithm, no human judgment

Generic model portfolio output

Black-box allocation logic

No bespoke mandate or IPS

No advisor accountability

Risk DNA

20 calibrated behavioural questions

Output: your exact coefficient A = 3.47

Utility theory + revealed preference

Personalised to your specific answers

Black-Litterman MVO weights output

Module A · 01 of 06 — Behavioural Tolerance

How do you actually
behave under pressure?

Most investors overestimate their risk tolerance in calm markets. These six questions are designed to surface your revealed preferences — what you'd actually do, not what you think you'd do.

6 questions · ~2 min

·

Prospect theory & loss aversion calibration

·

Behavioural finance methodology

Question 01 / 20

Your portfolio drops 25% in three months. What do you do?

Question 02 / 20

At what loss level would you stop sleeping soundly?

Question 03 / 20

Which outcome feels psychologically worse to you?

Question 04 / 20

A major market crash happens (−40% in 6 months). How do you feel about your portfolio?

This assesses your baseline emotional composure under extreme stress.

Question 05 / 20

How often do you typically check your investment portfolio?

Question 06 / 20

In a volatile market environment, which statement best describes you?

0 / 6 answered

◈

Module A complete

Behavioural analysis recorded. Now measuring what your finances can actually absorb — separate from what you think you can tolerate.

Module B · 02 of 06 — Goals & Time Horizon

What is this money
actually for?

Time horizon is one of the most powerful variables in portfolio construction — it determines how much short-term volatility is mathematically irrelevant to your outcome. Your goal shapes the whole model.

5 questions · ~2 min

·

Goal-based asset allocation framework

·

Time-horizon sensitivity analysis

Question 07 / 20

When will you need primary access to this capital?

Question 08 / 20

Your primary investment goal for this portfolio:

Question 09 / 20

Which best describes your current life stage and financial priorities?

Question 10 / 20

How important is it that this portfolio reach a specific numeric target at a specific date?

Question 11 / 20

If your portfolio underperformed its benchmark by 8% in one year, how would you react?

0 / 5 answered

◈

Module B complete · Halfway through

Goals and horizon logged. Your preliminary profile is forming — the next two modules will sharpen the coefficient A calculation significantly.

Module C · 03 of 06 — Financial Capacity

Can your finances absorb
a serious drawdown?

Risk tolerance and risk capacity are different things. You might be emotionally ready to watch a portfolio fall 40% — but if you'd need that capital within 18 months, that exposure is structurally reckless regardless of temperament.

5 questions · ~2 min

·

Liquidity stress testing

·

Financial capacity analysis

Question 12 / 20

Your primary income source:

Question 13 / 20

This portfolio represents what share of your total investable wealth?

Including all liquid assets — not real estate or pension entitlements.

Question 14 / 20

How many months of living expenses do you keep in liquid cash or equivalents?

Question 15 / 20

Your current level of outstanding debt (mortgages, loans, credit) relative to income:

Question 16 / 20

Do you have guaranteed income sources that could cover essential expenses if your portfolio lost 30% this year?

0 / 5 answered

◈

Module C complete

Financial capacity measured. Now calibrating against lived experience — investors who've been through a real bear market are scored differently from those who haven't.

Module D · 04 of 06 — Experience & Constraints

What have you lived
through, as an investor?

Investors who've experienced a real bear market respond differently from those who've only seen bull runs. Lived experience is a genuine data point — it calibrates both your resilience and your blind spots.

4 questions · ~1 min

·

Experience-adjusted risk calibration

·

Constraint mapping

Question 17 / 20

Your investment experience:

Question 18 / 20

What is the largest personal portfolio loss you have experienced and maintained your strategy through?

Question 19 / 20

Are there any asset classes, sectors, or instruments you wish to exclude from your portfolio?

This helps define hard constraints for the optimiser.

Question 20 / 20

Do you incorporate Environmental, Social, or Governance (ESG) criteria into your investment decisions?

0 / 4 answered

◈

Module D complete · Final stretch

Experience profile logged. One module left — these quantitative inputs feed directly into the utility function that derives your exact coefficient A.

Module E · 05 of 06 — Quantitative Inputs

Now let's put
numbers to it.

Your drawdown tolerance and return expectations feed directly into the utility function that derives your risk aversion coefficient A — the core output of this entire assessment.

Utility maximisation: U = E(r) − ½Aσ²

·

Revealed preference scoring

Live coefficient preview

A = —

Adjust sliders to preview

This updates in real time as you move the sliders below. Your final coefficient will be the weighted blend of questionnaire scores and revealed preference inputs.

A = 0.6 × A_behavioural + 0.4 × A_revealed

Your name — used on your report

Name

Risk Parameters These three inputs determine your A coefficient

Maximum drawdown tolerance

Largest annual loss you could absorb without abandoning your strategy

25

%

5% — very conservative35% — moderate70% — aggressive

→

Certainty equivalent

Guaranteed return at which you'd decline a 60/40 lottery of +30% / −15%

8

%

1% — risk-seeker12%25% — very risk-averse

→

Expected portfolio volatility

Expected annual standard deviation based on your target asset mix

18

%

5% — bond-heavy18% — balanced45% — all-equity

→

Monte Carlo Parameters Used for portfolio projection modelling

Investment horizon

30

yrs

Initial investment

$

Monthly contribution

$

Target wealth goal

$

✓

All 20 questions complete

Your inputs are ready. Review your answers below — then confirm to run the coefficient calculation. This takes about 3 seconds.

Review · 06 of 06 — Final Check

Almost there.
Review before we calculate.

Your answers below will be run through the scoring engine to derive your risk aversion coefficient. Take a moment to confirm they reflect how you'd genuinely behave — not how you'd like to behave.

20 questions completed

·

Coefficient derivation: ~3 seconds

·

No data leaves your browser

Your coefficient A will be computed immediately after you confirm your securities on the next screen.

Final Step — Portfolio Universe

Build your
investment universe.

Your risk coefficient A is now computed. Choose the securities the engine will optimise — it will weight them to maximise your utility function given your exact risk profile.

Strategy Presets

Click any strategy to load its securities. You can then add or remove individual tickers.

or build your own

Add individual security

NYSE / NASDAQ

Popular singles

0

securities selected

min 3 · max 20

◈

No securities selected

Choose a strategy preset above — or type a ticker to build from scratch

Run optimisation

Select at least 3 securities to continue.

Risk DNA Investment Assessment

Finally — a risk number, not a risk category.

How do you actuallybehave under pressure?

What is this moneyactually for?

Can your finances absorba serious drawdown?

What have you livedthrough, as an investor?

Now let's putnumbers to it.

Almost there.Review before we calculate.

Build yourinvestment universe.