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INSIGHTS

Research on the portfolio decision layer.

Practical notes on systematic portfolio management, quant and multi-strategy portfolios, strategy behaviour and drift, regime context, portfolio risk, capital allocation and AI-native investment decision systems.

TOPICAL FRAMEWORK

From strategy evidence to portfolio decisions.

Prospect’s research is organised around one recurring institutional problem: how to turn changing strategy evidence into controlled portfolio decisions. The aim is to connect research, monitoring, portfolio risk and allocation rather than treating each as a separate dashboard or workflow.

The collection separates broad portfolio-management frameworks from narrower technical questions. Strategy monitoring covers the continuous operating process; drift detection focuses on identifying meaningful behavioural change. Capital allocation covers the full weighting and governance problem; regime-aware allocation focuses specifically on how market context should influence that decision.

As V1 develops, this hub will add founder-led research notes, methodology explainers and product research where they add genuine depth. Prospect is not pursuing high-volume programmatic content: the priority is a small, coherent body of institutional systematic-investing research that is useful on its own and accurately reflects what the company is building.

01Systematic portfolio managementA framework for managing approved systematic strategies as one evolving portfolio.02Quant portfolio managementConnect strategy evidence, portfolio interactions, risk and capital allocation.03Multi-strategy portfolio managementGovern several strategies through a common evidence and decision framework.04Systematic strategy monitoringMonitor whether a strategy is still behaving like the strategy approved for capital.05Strategy drift detectionSeparate ordinary variance from persistent changes that deserve portfolio review.06Systematic portfolio riskUnderstand exposure, concentration, correlation, drawdown and shared failure modes.07Capital allocationTranslate changing evidence and explicit constraints into explainable portfolio weights.08Regime-aware allocationUse market state as context inside a portfolio process rather than as a prediction engine.09AI-native portfolio managementWhere model-assisted judgement can add value and where hard controls should remain explicit.

BUILDING V1

Prospect is turning these principles into institutional decision infrastructure.

We are speaking with systematic investment teams that want a more continuous, explainable process around strategy monitoring, portfolio risk and capital allocation.

Design-partner conversation →