SBFF Glossary

The behavioral classification assigned to an asset by the SBFF framework. One of eight codes: NFA, PFD, EDVC, SCR, ICA, RSA, PCD, or LFD. Each archetype represents a distinct combination of Identity, State, and Footprint axis values.

The three analytical dimensions of the SBFF framework — Identity, State, and Footprint — used to derive an asset's archetype.

The observable pattern of how an asset responds to changes in credit conditions, liquidity regimes, and risk-on/risk-off environments. The Footprint axis captures this.

Bank for International Settlements. A primary data source for cross-border credit flows, repo market conditions, and FX swaps used in SBFF State axis calibration.

The recurring pattern of capital inflows, expansion, overcapacity, and contraction across an asset class or sector. SBFF State axis positioning is informed by where an asset sits in its capital cycle.

The expansion and contraction of credit availability in the broader economy. A key input to SBFF State axis determination.

The premium or discount in FX swap markets reflecting funding stress in non-USD currencies. Used as a financing condition indicator in SBFF analysis.

Emerging-Demand Volatility Complex. An SBFF archetype characterized by high demand sensitivity, emerging-market financing dependency, and elevated volatility in stress regimes.

The third SBFF axis. Describes how an asset behaves in financing and liquidity environments — whether it amplifies, hedges, or is neutral to credit stress.

The term structure of futures prices for a commodity. Shape (contango vs backwardation) is used in SBFF Identity and State axis analysis.

Industrial Commodity Anchor. An SBFF archetype for commodities that serve as foundational industrial inputs, characterized by stable demand drivers and structural financing integration.

The first SBFF axis. Classifies what an asset structurally is — its category, financing structure, and role in the capital system.

Liquidity-Following Derivative. An SBFF archetype for assets whose value and behavior closely track broad liquidity conditions rather than independent fundamental drivers.

London Metal Exchange. The primary pricing and delivery venue for base metals. LME forward curves and warrant data are key inputs for metals SBFF analysis.

The prevailing macroeconomic environment — defined by combinations of growth, inflation, credit availability, and central bank policy. SBFF State axis maps asset behavior to regime positioning.

Non-Financialized Asset. An SBFF archetype for assets with minimal speculative positioning, physical-delivery dominance, and low correlation to financial market liquidity cycles.

Protocol-Collateral Digital. An SBFF archetype for crypto/DeFi assets used as on-chain collateral, characterized by reflexive credit dynamics and protocol governance dependencies.

Paper-Financialized Derivative. An SBFF archetype for assets where paper markets (futures, ETFs) dominate physical markets, creating speculative positioning amplification.

Purchasing Managers Index. A leading macro indicator used in SBFF State axis calibration to determine expansion or contraction regime positioning.

See Macro Regime. The prevailing macroeconomic environment that determines which behavioral patterns are dominant for a given asset class.

Real-Structure Asset. An SBFF archetype for physical real assets (real estate, infrastructure) characterized by debt-financed valuation, long duration, and interest rate sensitivity.

Structural-Behavioral Footprint Framework. The proprietary analytical system developed by Ali Reza Javadi for classifying assets by behavioral archetype based on three axes: Identity, State, and Footprint.

Sovereign-Credit Relative. An SBFF archetype for assets whose behavior is primarily driven by sovereign credit dynamics, currency regime, and geopolitical positioning.

The second SBFF axis. Determines where an asset sits in the current macro cycle and how its financing conditions are positioned relative to the broader credit environment.

The relationship between bond maturities and interest rates. Inversion or steepening signals are used as regime indicators in SBFF State axis analysis.