THE RISK DESK COVERAGE UNIVERSE: 1 FEED: STANDBY

RISK REPORT — SINGLE ASSET

Value at risk:
measuring…

Aladdin is the risk system pension funds, insurers, and central banks use to understand what they own. It is open source. We forked it, deleted the parts that require permission, and pointed what remained at one memecoin.

The measures below are the ordinary ones, computed the ordinary way, on live market data. The asset is not serious. Both are true at once.

RISK REPORT awaiting coverage

VALUE AT RISK — 95%
1-day, historical, % of position
VALUE AT RISK — 99%
1-day, historical, % of position
REALIZED VOLATILITY
annualized, 365d convention
MAXIMUM DRAWDOWN
peak to trough, observed
SHARPE RATIO
risk-free rate assumed zero¹
DIVERSIFICATION BENEFIT
0.0%
coverage universe: 1
WORST SINGLE DAY
observed, not modelled
BEST SINGLE DAY
observed, not repeatable
LAST PRICE

¹ The risk-free rate is assumed to be zero because anyone holding this asset has already expressed a view on the risk-free rate.

STRESS SCENARIOS

SCENARIOSHOCKPORTFOLIO IMPACTDESK COMMENTARY
Mild risk-off−20%−20%Within tolerance. Tolerance is total.
Severe risk-off−50%−50%Survivable. Survival is not the same as recommended.
Tail event−99%−99%Modelled. Also observed. Also Tuesday.
Liquidity withdrawal−100%−100%The desk has no hedge for this and has made peace with that.
Favourable outcome+1,000%+1,000%Not modelled. The desk does not model joy.

Scenarios are applied to a portfolio consisting entirely of one asset, because that is the portfolio. Correlation matrix: [ 1.00 ].

METHODOLOGY

The desk runs a fork of AladdinSDK, the official SDK for BlackRock's Aladdin — the risk platform used across roughly twenty-one trillion dollars of assets. It is Apache-2.0 licensed, and anyone may fork it.

Apache-2.0 §4(b) requires that modified files carry prominent notices stating that they were changed. Ours state the following, because it is what happened:

The figures on this page are computed live, in your browser, using the same measures the forked module computes in Python. Nothing here is illustrative. Full documentation ›