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

SECF Indices

All AFGI regional indices share identical factor rules and quarterly rebalancing cycles, differing only by their geographic investment universe. RAGI inherits the AFGI global universe with an additional macro regime overlay.

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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Valuation

A Benchmark Built Around Valuation, Not Price Targets

Most equity benchmarks tell investors what the market is worth at a given moment; few explain what the market is actually worth relative to its fundamentals. The SECF Valuation Benchmark Indices were conceived to fill precisely this gap. They represent a distinct class of index — valuation-level benchmarks — designed to measure the fair-value position of global equity markets rather than to replicate market capitalisation or to express a directional trading view.

From Single Price Targets to Valuation Intervals

The SECF valuation framework was built on a deliberate methodological departure from conventional equity analysis

What Sets SECF Valuation Indices Apart

The SECF Valuation Benchmark Indices were designed to solve problems that conventional valuation tools leave unresolved. Their distinctive value rests on five pillars.

The SECF Valuation Benchmark Index Suite

The Suite is engineered to deliver institutional investors a holistic valuation lens across global equity markets, covering distinct market-cap tiers and both developed and emerging market segments.

Valuation-Driven Asset Allocation Research

Understanding the valuation water level of a market relative to its history and to other markets informs whether a region is being accumulated, reduced or held at equilibrium from a valuation standpoint.

SECF Index Research

This document provides a bilingual (English-Chinese) introduction and analysis of the six core SECF indices: the flagship parent index SECF-AFGI and its regional derivatives (US, Europe, Developed Markets, Emerging Markets), together with the regime-aware strategy variant SECF-RAGI. Each index covers seven sections: Introduction, Factor Architecture, Regime Conditioning, Benchmark Differentiation, Portfolio Application, Risk Profile, and Methodology & Governance.

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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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Index

SECF - RAGI

A next‑generation global equity benchmark powered by SECF's proprietary Era‑Factor framework. It incorporates regime‑factor scores into constituent screening and weighting to adapt to macro‑cyclical, geopolitical and supply‑chain shifts, dampen exogenous systemic‑shock volatility, and offer a structurally‑resilient alternative to the conventional ACWI paradigm for multi‑asset allocation amid fragmentation.

SECF Regime-Aware Global Index . RAGI

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.