Research Frameworks

Original frameworks for decision quality under uncertainty.

Khamlichi Risk Strategy is built on original research into decision quality, survival constraints, and systemic instability.

The primary decision framework asks when a portfolio is truly carryable once a House View has been translated into market scenarios and assessed through a survival-aware lens. Depending on the decision context, this may range from testing the portfolio against already-defined constraints to a deeper review in which relevant wealth assumptions are made explicit and, where needed, stressed. DDEM remains a separate research line.

Survival-Constrained Payoff Metric

The methodological core behind survival-aware advisory work.

Traditional portfolio metrics often evaluate risk and return separately. This framework evaluates decisions relative to horizon, maximum tolerable loss, strategic coherence and the contextual scenarios constructed when market shocks are combined with stressed wealth assumptions.

What it addresses

Cases in which standard metrics describe a portfolio but do not resolve the strategic question: which contextual scenarios should be constructed for this mandate, which allocation is more coherent within that scenario set, and which wealth assumptions most influence the answer.

What it does not do

It does not treat contextual elements as standalone forecasts or certainties. It formalizes decision quality once market scenarios, stressed wealth assumptions, bounded downside and carryability are treated explicitly.

Conceptual logic

At a high level, the framework proceeds through House View, Market Scenario, Contextual Assumption Stress Testing, Contextual Scenario, Wealth Contextual Risk Assessment, Survival Assessment, Portfolio Evaluation, and Portfolio Redesign.

Why it matters

Market scenarios alone rarely determine outcomes. Results emerge from the interaction between external conditions and the assumptions on which a specific wealth system depends. The framework matters because it makes that interaction decision-relevant.

Conceptual Diagram
Conceptual decision regions for the survival framework
DDEM

A separate systemic research framework.

DDEM focuses on macro-financial fragility, liquidity dynamics, regime shifts, and concentration-sensitive forms of instability. It complements the platform's research identity without being the core advisory metric.

Research domain

Endogenous instability, leverage-sensitive fragility, delayed recognition, liquidity stress, and the amplification channels that turn localized weakness into systemic disturbance.

Current relevance

The framework is especially suited to questions involving AI concentration, geopolitical fracture, funding sensitivity, and other structural sources of macro-financial imbalance.

Systemic Diagram
Conceptual phase-space diagram for DDEM
Papers and Research

Public references.

The Survival-Constrained Payoff Metric is the primary reference for the advisory layer. DDEM remains a separate systemic research contribution.

Survival-Constrained Payoff Metric

Foundational research paper on survival-aware strategic evaluation and portfolio decision quality.

SSRN / Abstract

Dominant Dynamics Equilibrium Model (DDEM)

Systemic framework paper on fragility accumulation, crisis dynamics, and regime structure.

SSRN / Abstract

Regime-Conditional Risk in U.S. High Yield Credit

Applied research on risk evaluation under regime-sensitive market states.

SSRN / Abstract