Our Models

Our Models

Our Models

QVMRD Equity Selection Model

A multi-factor equity selection framework that integrates academically documented return drivers into a coherent, distribution-aware ranking system across global equity markets.

Diverse group of people in a business meeting
Diverse group of people in a business meeting
Diverse group of people in a business meeting
a group of people sitting around a table with laptops
a group of people sitting around a table with laptops
a group of people sitting around a table with laptops
A man wearing glasses and a blazer working at a desk, writing in a notebook beside a computer monitor in a modern office.
A man wearing glasses and a blazer working at a desk, writing in a notebook beside a computer monitor in a modern office.
A man wearing glasses and a blazer working at a desk, writing in a notebook beside a computer monitor in a modern office.

What it is

What it is

What it is

What is the QVMRD Model?

The QVMRD Equity Model is a proprietary, factor-based stock selection framework developed by 20Quant for systematic use in diversified portfolios.

It integrates 18 families of academically validated factors, including quality, growth, value, momentum, and risk, into a normalised ranking system that assesses relative equity attractiveness within peer groups.

QVMRD supports portfolio construction, universe filtering, and factor-aware allocation, while remaining interpretable, auditable, and consistent across market environments.

Academic Foundations

Grounded in decades of academic and practitioner research on equity factor premia, including quality, value, momentum, growth, and risk-related characteristics.

Academic Foundations

Grounded in decades of academic and practitioner research on equity factor premia, including quality, value, momentum, growth, and risk-related characteristics.

Academic Foundations

Grounded in decades of academic and practitioner research on equity factor premia, including quality, value, momentum, growth, and risk-related characteristics.

Multi-Factor Architecture

Aggregates 18 factor families, each constructed from multiple underlying metrics, into a single, coherent ranking framework designed to reduce reliance on isolated signals.

Multi-Factor Architecture

Aggregates 18 factor families, each constructed from multiple underlying metrics, into a single, coherent ranking framework designed to reduce reliance on isolated signals.

Multi-Factor Architecture

Aggregates 18 factor families, each constructed from multiple underlying metrics, into a single, coherent ranking framework designed to reduce reliance on isolated signals.

Distribution-Aware Design

Applies cross-sectional standardisation techniques that explicitly account for non-normal factor distributions, improving comparability across securities, sectors, and regions.

Distribution-Aware Design

Applies cross-sectional standardisation techniques that explicitly account for non-normal factor distributions, improving comparability across securities, sectors, and regions.

Distribution-Aware Design

Applies cross-sectional standardisation techniques that explicitly account for non-normal factor distributions, improving comparability across securities, sectors, and regions.

Availability and coverage

Available across major global equity markets and designed to integrate seamlessly with broader portfolio, regime, and governance frameworks developed by 20Quant.

Availability and coverage

Available across major global equity markets and designed to integrate seamlessly with broader portfolio, regime, and governance frameworks developed by 20Quant.

Availability and coverage

Available across major global equity markets and designed to integrate seamlessly with broader portfolio, regime, and governance frameworks developed by 20Quant.

Why It’s Relevant

Why It’s Relevant

Why It’s Relevant

Relevance for equity decision-making

QVMRD is built to identify structurally meaningful equity signals and convert them into inputs that can be used directly in portfolio decisions.

Structural signal over narrative

Equity returns are driven by persistent structural characteristics rather than stories. QVMRD provides a systematic way to evaluate those characteristics consistently across large equity universes.

Balanced factor exposure across cycles

By integrating multiple complementary factor families, QVMRD avoids single-factor bias and supports equity selection that remains coherent across different market environments.

Decision-ready outputs

QVMRD delivers transparent, repeatable rankings that can be directly used in portfolio construction, universe screening, and investment committee workflows.

Decision-ready outputs

QVMRD delivers transparent, repeatable rankings that can be directly used in portfolio construction, universe screening, and investment committee workflows.

Selected research notes on macro regimes, risk dynamics, and portfolio implications across market cycles.

Market Insights

Market Insights

Selected research notes on macro regimes, risk dynamics, and portfolio implications across market cycles.

Get in Touch

Partner with experts who understand your financial vision

Let’s discuss how our actionable solutions can help you plan smarter, grow stronger, and achieve lasting success.

Get in Touch

Partner with experts who understand your financial vision

Let’s discuss how our actionable solutions can help you plan smarter, grow stronger, and achieve lasting success.

Get in Touch

Partner with experts who understand your financial vision

Let’s discuss how our actionable solutions can help you plan smarter, grow stronger, and achieve lasting success.