IROHA for portfolio management services

PMS books are often concentrated, so one company-specific shock can dominate a month. IROHA separates that shock from market and sector moves across every holding, shows which positions carry the most unexplained risk, and turns scenarios into position-sizing inputs.

Attribution that goes past sector buckets

Sector attribution tells you the banking sleeve lagged. IROHA tells you which bank, by how much, and whether it was the sector, a results surprise or a regulatory filing, with the evidence test each cause passed.

Shock monitoring across the book

When a holding moves far beyond what its market and sector explain, IROHA flags it and names the candidate cause, so the fund manager sees company-specific risk building before month-end.

Scenario-based position sizing

Forward scenarios give a range for each holding under a given market, sector or event shock. Use the ranges to size positions after a shock, or to check concentration before one.

Pilot on your own universe

We run IROHA on your stocks for two to four weeks and walk through every large move with your research team.

What the output looks like

Take RAYMOND, which rose +52.8% from 21 Aug – 7 Oct 2026. IROHA puts −0.5 points on the market and −1.9 on textile peers, names the dated cause, and shows which drivers pass every causal test: policy news and company news. Across all 52 big RAYMOND moves since 2015, the model leaned the right way before 41. The full study.

See how IROHA works and a worked example on RAYMOND.

Other use cases: RIAs · Prop and quant desks