Who We Are

A boutique quantitative research firm

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The Founding Observation

High-net-worth families in India face a sharp gap in wealth management. Despite commanding significant assets, most depend on broker-advisors and bank relationship managers driven by product commissions, not research. They lack access to institutional-grade quantitative expertise that can reveal hidden risks, correct behavioral biases, and craft rigorous, tax-aware strategies. Building an in-house quant team is unrealistic at their scale—leaving them underserved in a market where transparency and intellectual rigor are vital to preserving and compounding generational wealth.

Emotional decision-making often undermines wealth preservation. High-net-worth families, despite their sophistication, are vulnerable to fear, greed, and herd behavior—panic selling in downturns, chasing fads in bull markets, or clinging to legacy holdings out of sentiment. These biases erode returns and magnify risk. Quantitative models counter this by replacing emotion with evidence. Through rigorous portfolio audits, mathematical asset allocation, and systematic risk monitoring, families gain clarity rooted in data, not instinct. Models uncover hidden exposures, enforce discipline in rebalancing, and align strategies with long-term goals and tax realities. The result: decisions that are consistent, transparent, and resilient—helping HNIs compound wealth across generations without being swayed by market noise or emotional impulses.

Pragma Quant brings institutional-grade quantitative research to private wealth. We serve a select circle of high-net-worth families who value depth, independence, and mathematical clarity over product sales. For those who lack the scale to build an in-house quant team, we provide portfolio audits, custom strategies, and ongoing risk monitoring—transparent, unbiased, and rigorously model-driven. Our purpose is simple: to help discerning families preserve and compound wealth across generations with the same sophistication once reserved for large funds.

Research Methodology

Our approach combines academic foundations with practical implementation across Indian and global markets.

Quantitative Analysis
Portfolio returns are decomposed into systematic exposures—market, size, value, momentum, quality, and volatility. We identify concentration risks that traditional sector analysis misses, and construct portfolios with deliberate factor tilts based on empirical data.
Risk Quantification
Monte Carlo simulations model thousands of potential market paths, quantifying tail risk and drawdown probabilities. Stress testing applies historical crisis scenarios—2008, 2020, 2022—to portfolios, revealing vulnerabilities before they manifest in live markets.
Systematic Rebalancing
Drift from target allocation is monitored continuously. Rebalancing decisions incorporate transaction costs, tax impact, and market conditions. Thresholds are dynamically adjusted based on volatility regimes to avoid excessive turnover without allowing dangerous drift.

Team Background

Our research team combines quantitative analysis experience from institutional asset management with expertise in portfolio theory, risk modeling, and the regulatory realities of Indian wealth management. Collective experience spans equity research, derivatives modeling, factor investing, and market-aware portfolio construction.

Quantitative Analysis
Factor modeling, portfolio optimization, statistical arbitrage, volatility analysis. Experience building risk systems and backtesting frameworks for institutional desks.
Data Science
Machine learning for alpha generation, time-series forecasting, portfolio simulation engines. Proficiency in Python, R, SQL, and quantitative computing infrastructure.
Finance Professionals
We are team of MBA, CFA and PhD credentials holders. Represent mastery of portfolio management theory, ethics, and fiduciary standards. Experience in equity valuation, fixed income, and alternative investments.
Academic Research
Advanced degrees in quantitative fields. Familiarity with academic literature on factor premia, market microstructure, and behavioral finance. Published research in financial economics.

Structural Independence

Fee-Only Compensation
We are compensated exclusively through advisory fees. No distribution commissions, no revenue-sharing with fund houses, no incentive to recommend products that pay us. Fee structure is transparent and disclosed in advance.
Bespoke Strategies
We don’t sell products—we design strategies. Every recommendation is powered by quantitative models that align precisely with client goals and risk tolerance. Free from sales targets, our guidance is transparent and disciplined.
Capacity Constraints
Client base is deliberately limited to selected families. This constraint ensures depth of engagement and prevents the dilution of research quality that accompanies scale-driven business models.
Fiduciary Standard
As a SEBI-registered Investment Advisor, we are legally bound to act in client best interest. This is not discretionary—it is a regulatory obligation with consequences for breach. Client interest before anything

Research Infrastructure

Our quantitative research platform combines proprietary models with market data infrastructure typically reserved for institutional investors.

Data Sources
Daily price data for NSE/BSE equities, mutual fund NAVs, derivatives pricing, and macroeconomic indicators. Historical database extends to 2000 for Indian markets, longer for developed markets.
Factor Models
Implementation of Fama-French five-factor model adapted for Indian markets. Custom factor definitions for momentum, quality, and volatility. Regular rebalancing and performance attribution across factor exposures.
Risk Analytics
Value-at-Risk and Conditional Value-at-Risk calculations. Scenario analysis applying historical crisis parameters. Correlation matrices updated daily. Drawdown analysis across rolling windows.

Registration & Compliance

Regulatory Framework
SEBI (Investment Advisers) Regulations, 2013
Fiduciary Obligation
Legally bound to act in client best interest
Compensation Structure
Fee-only, zero commission model
Client capacity limited

Schedule an Initial Consultation

Engagement begins with a confidential portfolio review and discussion of objectives, constraints, and research methodology fit.

Contact

hello@pragmaquant.com