Wealth Management Workflows

Portfolio rebalancing applies drift detection and optimization methods like mean-variance and risk parity to generate lot-level trade lists with tax-aware execution guidance. It outputs actionable rebalancing workflows with documented assumptions for client reviews.

Yes, Monte Carlo simulations calculate probability-of-success scenarios for retirement projections and comprehensive financial plans. The workflow integrates cashflow analysis and tax or estate planning to produce auditable outputs with scenario analysis.

Tax-loss harvesting identifies candidate positions and selects replacements while performing wash-sale checks across household accounts. It produces documented tax impact estimates and compliance checks for auditable client deliverables.

Client meeting preparation automates portfolio performance, attribution, and risk diagnostics to generate concise meeting agendas. It produces a client packet with prioritized action items and standardized methodology for advisory workflows.

Yes, investment proposals generate bespoke deliverables using DCF and comps-based analysis with scenario modeling. The workflow produces auditable appendices and compliance documentation for retail and high-net-worth client proposals.

Black-Litterman optimization is applied during portfolio rebalancing alongside mean-variance and risk parity methods. The workflow selects the appropriate optimization approach based on drift detection and client objectives to produce lot-level trade lists.