Portfolio solutions / construction & risk

Portfolio construction.
Risk in view.

Construct and rebalance client portfolios around investment objectives, with explicit risk, tax, and implementation constraints. Built for the workflows of advisors, RIAs, custodians, and wealth platforms.

PORTFOLIO CONSTRUCTIONEXPLORE THE WORKFLOW
PORTFOLIO → DECISION → RISKHoldingsTradesAttributionTHE STARTING BOOKReduceHoldAddMarketSectorSpecific

Start with positions, exposures, and the limits that define the account.

Illustrative workflow · not a measured result or live calculation
01 / Describe the book02 / Propose the rebalance03 / Review the exposures

Investment workflows

Start with your
portfolio objective.

From personalized accounts to institutional mandates, choose the construction problem your team needs to solve.

The working model

A rebalance is more
than a set of weights.

The decision has to fit the mandate and remain understandable after it leaves the optimizer.

01

Define the objective

Specify the target, risk model, trading costs, and allowed instruments.

02

Make limits explicit

Account for position bounds, exposure limits, turnover, and available liquidity.

03

Review the consequence

Assess proposed trades alongside the resulting allocations and risk contributions.

Two views of the same proposal

Understand allocation.
Understand risk.

01 / ALLOCATION

Where the portfolio is invested

Review the resulting holdings against target exposures.

02 / ATTRIBUTION

Where the risk comes from

Read the contributions using your chosen risk model.

Conceptual composition · no measured allocations or risk values
Scope & evaluation

Portfolio evaluation depends on the supplied objective, covariance or factor model, constraints, and hardware. The diagrams show a workflow, not forecast returns. The published benchmark record states its own workloads and numerical gates; it is not a performance guarantee for every portfolio.

Portfolio construction / Evaluation

Make the decision
criteria explicit.

How do a risk model and an optimizer work together?

A risk model describes exposures and estimated relationships between assets or factors. An optimizer uses that information alongside an investment objective and constraints to propose a portfolio. Evaluation should specify the model inputs, portfolio constraints, and the criteria used to accept the result.

How should teams compare portfolio optimizers?

Use the same input data, objective, constraints, numerical tolerances, hardware assumptions, and timing boundary. Compare feasible results and portfolio outcomes before interpreting speed. The PRISM benchmark methodology documents the scope of its published comparisons, and a pilot can establish a comparison for your workflow.

Work with Asymmetry

Put your real workflow
to the test.