SECF Research pioneers regime-aware index design and global equity valuation research, delivering forward-looking insights for institutional allocators.

Financial Insights

Factor Research

A complete factor research and portfolio analysis environment for measuring exposures, building systematic portfolios, and translating market views into allocation decisions.

SECF Factor Models Framework

A complete environment for factor measurement, portfolio construction, and systematic investment analysis across global markets.

Financial Insights
Measure Exposures

Identify the underlying drivers of risk and return across portfolios

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Build Systematic Portfolios

Combine factor signals into structured, transparent investment workflows

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Express Market Views

Translate regime views, factor timing and allocation ideas into testable decisions

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Factor Indices

What are Factor Indexes?

Rule-based index solutions for capturing targeted factor exposures in global markets.

Factor indexes are transparent, rules-based indexes designed to reflect specific investment themes — such as value, growth, quality, momentum, low volatility, dividend and ESG. They provide investors with a structured way to implement factor views.

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Core conceptual framework for state-dependent factor behaviour across market cycles.

Regime-Conditioned Framework

This foundational framework describes how factor premia evolve across distinct economic and market regimes. It defines regime identification logic, conditional factor exposure rules and core modelling assumptions shared across the SECF factor system.

Multi-Factor Interaction Model

A proprietary interaction engine in which all factor models can be examined both independently and jointly. The model applies non-linear cross-validation and dynamic weight fitting across the factor system to derive standardised research outputs, including fair-value ranges, valuation indications, risk indices and recovery-space estimates.

Factor Models

A structured library of 50 proprietary factor models organised across four research families — core style, trading and market structure, fundamental and asset pricing, and AI and algorithmic modelling. Every model is documented with its objective, data inputs, signal output and research applications, and is validated under a single published protocol.

Value Model / Volatility Model

Core Style Factors

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Liquidity / Price Factor Model

Trading & Market Structure Factors

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Fundamental Analysis / Valuation Risk

Fundamental & Asset Pricing Models

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Machine learning / Tree Regression

AI & Algorithmic Models

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Factor Taxonomy & Exposure

Factor research often suffers from inconsistent naming, overlapping definitions and incomparable outputs. The SECF Factor Taxonomy creates a common structure for classifying signals, comparing strategies and reporting portfolio exposures.

Taxonomy Structure

This hierarchical classification standard unifies the definition boundary of each factor category, enabling consistent signal labelling across global equity datasets.

Exposure Matrix

The matrix visualises aggregated factor tilts of portfolios, turning abstract factor exposure metrics into readable comparative profiles.

Attribution Workflow

The system takes factor outputs from individual models, maps them into the taxonomy, and translates them into portfolio-level exposure scores. Investors can then see which factor groups are driving risk and return.

Practical Applications

These application scenarios cover mainstream institutional quantitative workflows for portfolio oversight and investment review.

Factor Strategy Simulation Workspace

The Strategy Simulation Workspace enables researchers to test factor signals, combine multiple models, simulate portfolio allocations and evaluate strategy performance under different market conditions.

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