Products/Aegis
PORTFOLIO RISK

Risk that recalculates every time the portfolio changes.

Aegis tracks VaR and CVaR, factor exposure, concentration, stress tests and limits on the book you hold, with an optimizer, regime analysis and multi-strategy sleeves.

Stress testingEfficient frontierRegime & attributionSleeve portfoliosCSV export

See what drives your risk, name by name.

Each figure states its horizon and confidence, and limit breaches show as positions change.

AEGIS · book_011D10D95%99%● LIVE
VaR 95% · 1-day−2.18%
CVaR
−2.74%
Beta
0.86
Ann. vol
14.2%
Pos / eff
42 / 24.6
Factor exposure
market+0.86
momentum+0.31
quality+0.47
value−0.19
size−0.12
Risk contribution
NVDA18%
AVGO13%
LLY10%
JPM7%
others52%

Share of portfolio volatility, not of capital.

Limits
Name 3% okSector 15% okTE 8% breachBeta band ok

Breaches show on the panel as positions change.

Illustrative figures for a sample 42-position book. These are not live market data. The signed-in engine runs on your own holdings.

Every measure shows its method.

A VaR without its method, horizon and confidence can't be compared with anyone else's.

Value at risk

Parametric, historical and seeded Monte Carlo at 1 and 10 days, 95% and 99%.

Conditional VaR

The expected loss beyond the VaR threshold, so you see how deep the tail goes.

Risk contribution

Each name's marginal contribution to volatility, plus component VaR that sums to the portfolio figure.

Factor decomposition

Market, momentum, quality, value and size exposures, with the residual reported separately.

Concentration

The effective number of positions (1/HHI), which shows how few names really drive the book.

Liquidity

Days to liquidate at a participation cap, per name and for the book.

Tracking error

Ex-ante, against your chosen benchmark, with the active share behind it.

Fat tails

Skew, excess kurtosis and a Cornish-Fisher adjusted VaR for when the normal assumption breaks.

Regime-conditional VaR

The same book, priced for the regime the market is in now.

Stress it against what actually happened.

Run historical episodes and date-independent factor shocks on the current book.

2020 Covid crash−33.2%
2022 rate shock−25.8%
2018 Q4 selloff−14.1%
Momentum unwind−17.0%
Rates +100bp−7.4%
USD +5%−4.9%
Oil −30%−3.6%
How a scenario is built
  1. Shock vector

    Each episode is stored as a factor return vector, so it fits any book.

  2. Exposure map

    Current exposures run through the vector, with residual risk handled separately.

  3. Eligibility check

    A dated replay runs only if every holding traded through it, and is never backfilled.

An optimizer that respects the mandate.

Every allocation is scored against your current book, and every constraint is a hard limit.

Objectives
Min variance
lowest ex-ante vol subject to the constraint set
Max Sharpe
tangency portfolio on the constrained frontier
Risk parity
equal marginal risk contribution per name or sleeve
HRP
hierarchical clustering, no matrix inversion
Min CVaR
optimizes the tail rather than the variance
Black-Litterman
views blended with the market prior
Name capSector capGroup capVol capWeight floor

Many books, netted.

Sleeves net exposures and budget risk across strategies, so the total reflects how they combine.

Risk budget by sleeve
Quality–momentum38%
Vol-targeted trend24%
Low-vol defensive21%
Cash & carry17%
Aggregate
Netting
offsetting positions net before risk is computed
Attribution
factor return attribution at book and sleeve level
Regime
risk-on / risk-off read with regime-conditional VaR
Reporting
LP-ready export with method and as-of on every figure

Aegis measures. You decide.

No order path

Aegis has no way to place an order, so nothing is ever sent anywhere.

Measurement software only

It doesn't sell recommendations or model portfolios as advice.

Method on every figure

Every figure states its method, horizon, confidence and as-of.