Investing: How to exploit Portfolio Managers' Soft Rules
Soft rules aren't in law (as opposed to hard rules), but they run the show.
Core thesis
Markets aren’t “free”; they’re efficient to constraints. Portfolio Managers (PMs) optimize career/mandates, not truth. Your edge: know the soft rules, anticipate the forced flows, and be the only player who doesn’t have to sell.
Lens: incentives > ideals · control > fairness · stability > truth. Always read revealed preference.
Soft Rules (the ones that actually run the show)
S1. Career/Benchmark Risk
Stray too far from benchmark → career risk. Closet indexing is the baseline.
Effect: under-ownership of controversial compounders until index inclusion.
S2. Drawdown Tripwires
Internal guardrails (e.g., −8% month / −15% quarter) auto-shrink positions.
Effect: forced de-risking during volatility spikes, regardless of thesis.
S3. Optics & Quarter-End Theater
Window dressing: dump losers, pile into benchmark mega-caps for the fact-sheet.
Effect: predictable flows into index heavies; exit pressure on small/illiquid.
S4. Committee/Model Discipline
Committees won’t approve “weird” theses (e.g., “technocracy substrate = Palantir”).
Effect: real edge gets sized down, even when numbers are obvious.
S5. Capacity/Liquidity Caps
If a position can’t be exited at 3–5× ADV, size is cut.
Effect: chronic under-sizing of names right before liquidity inflects.
S6. Reputational/ESG Veto
“Surveillance/governance winners” under-owned; IR can’t say the quiet part.
Effect: multi-year misweights in state-embedded software/security.
S7. Platform Conservatism
Big platforms prefer scale, low headline risk, low tracking error.
Effect: true alpha under-allocated until consultants bless it.
S8. Incentive Comp Geometry
Annual bonus tied to relative performance → being early hurts more than being wrong.
Effect: consensus herding; delayed adoption of outlier winners.
S9. Organizational Inertia
New ideas require risk sign-offs; “slow” ≈ “no.”
Effect: timing friction you can front-run.
Forced-Seller Mechanics
F1. Value at Risk(VaR)/Vol Targeting
VaR = σ × exposure × z. When σ jumps, VaR breaches even if price is flat → mechanical de-grossing (risk-parity, levered macro, vol-target funds).
F2. Margin/Haircut Spiral
Exchange & Prime Broker margin hikes → cut gross not because you’re wrong, but because math.
F3. Liquidity Promises → Cash Calls
Daily-liquidity funds sell the most liquid winners to meet outflows (not the dogs).
F4. Mandate Breaches
Downgrades/ESG flags/issuer caps → non-discretionary sell tickets.
F5. Policy Shocks
Short bans / sanctions / Acceptable Use Policy changes at banks, app stores, clouds → forced unwinds.
Result: mispricings widen precisely when expected value improves. That’s your window.
VaR Shock Timeline (how it usually flows)
T0: Shock headline → VIX/MOVE spike; bid vanishes; ETF/futures basis goes weird.
T1: Liquid stuff gets sold first (mega-caps, index futures) to raise cash fast.
T2: Margin/haircut hikes → more delever; cross-asset correlations race to 1.
T3: Policy smoke (facilities, swap lines) precedes specifics.
T4 (turn): “Exhaustion day” — down big → close flat/up; credit/funding spreads stall.
T5 (repair): Vol compresses; quality/mandate winners rip; junk lags.
Hard tells:
VIX > 40 and MOVE > 150; ETF discounts widen (SPY/HYG/LQD); futures/cash basis kinks; dealer gamma deeply negative; margin circulars from Prime Brokerages.
How to Exploit VaR shocks
Before (Set the Trap)
Pre-build a buy list of state-embedded compounders (PLTR > MSFT > PANW).
Define staggered limits (−3/−5/−8/−12%) good for 48–72h.
Track PSC (Policy Synchronization Coefficient - synchronization between allies) and LPI (Legibility Pressure Index - frequency of attest/revoke/lineage/rollback verbs in RFPs/laws); rising = bigger sizing later.
During (Be the Liquidity)
Start scaling when 2–3 signals align: Net Liquidity +$100B/4wk flips positive, VIX/MOVE spike, ETF discounts, margin hikes.
Prefer cash equity/ETF over perps; if options, buy call spreads (IV rich).
Add on exhaustion reversal.
After (Clip the Narrative)
Trim into “clarity” PR (facility announced, standard harmonized, big award), then overwrite calls while IV stays sticky.
Expect consultants/indexes to arrive late — that’s your distribution.
Checklist (decision aid)
Default: Who chose it? (If not you, assume it benefits them.)
Friction: What’s one-click vs ten-click? (Flows follow friction.)
Mandates: Which buyers are inelastic? (Banks/insurers/pensions/sovereigns.)
Optics: Can a Portfolio Manager write this thesis in an Limited Partner letter? (If not, it’s under-owned.)
Liquidity: Can the street exit 3–5× ADV? (If not, sizes are capped — your edge.)
VaR: Are σ and margins rising? (Prepare to buy what they love but must sell.)
Standards: Do drafts say attest/revoke/lineage/rollback? (Spend incoming.)
Perimeter: Can app stores/banks/clouds enforce without new laws? (Cheaper than legislation → sooner than consensus thinks.)
Compact Glossary (what you actually need)
PSC — Policy Synchronization Coefficient: How fast allied rules harmonize. ↑ = global TAM for compliance vendors.
LPI — Legibility Pressure Index: Density of attest/trace/rollback verbs in Requests for Proposals/laws. ↑ = buy lineage/admissibility platforms.
Paperization Ratio (Bitcoin): ETF/futures/custody share. ↑ = vol ↓; harvest carry, keep a small sovereign tail hedge.
Net Liquidity (US): Fed BS − TGA − ON/RRP (4w delta). + = risk-on tailwind.
Bottom line
Don’t debate ideals. Instrument constraints. Soft rules create predictable, repeatable dislocations. Your job is to:
Front-run standards & perimeters (PSC/LPI).
Buy the forced-seller tape (VaR/MOVE/VIX/margin tells).
Distribute into clarity (index/consultant arrivals).
Everything else is theater.
None of this should be considered investment advice.
Other articles I’ve written on investing:
How people and systems handle complexity (investment implications)
What inflation/real-rate band maximizes system stability with minimal consent drawdown
Why Mainstream Media is pushing the debasement trade (Gold, Bitcoin)
What the financial system is designed to do (First Principles)
Constrained Efficient Market Hypothesis (how Prices get made)
Analyzing The Great Taking (systematic, global seizure of assets)
Other articles I’ve written on Bitcoin & Gold:
Why Mainstream Media is pushing the debasement trade (Gold, Bitcoin)
Permissionless technology ≠ permissionless adoption (implications for Bitcoin)
Game Theory: How Governments could delegitimize Bitcoin Maximalism
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