Quantitative Research

We help investment teams construct, test, track, and interpret key market factors, including value, quality, momentum, growth, volatility, liquidity, revisions, and sentiment to identify drivers, changing exposures, and actionable signals for stock selection and portfolio construction. Our work also includes factor exposure analysis, signal persistence assessment, and cross-factor comparison to evaluate robustness across market environments.

We support backtesting of equity investment strategies, factor screens, model portfolios, trading rules, and stock selection frameworks to assess whether a strategy is robust, repeatable, and investible across different market conditions.

This includes return analysis, hit-rate testing, drawdown review, turnover analysis, sensitivity checks, and exposure review. We also evaluate common backtesting and data biases, including survivorship bias and look-ahead bias, to improve reliability and reduce the risk of overstated historical performance.

We provide portfolio-level analytics covering attribution, factor exposure, sector allocation, concentration risk, volatility, beta, tracking error, drawdowns, and risk-adjusted returns to help managers understand what is driving performance and where risks are building.

We independently review quantitative models, spreadsheets, algorithms, and investment frameworks to identify calculation errors, assumption gaps, logic issues, and documentation weaknesses before they affect investment decisions.

We support idea generation by combining quantitative screens with fundamental overlays. This may include identifying undervalued compounders, quality-growth names, momentum breakouts, earnings upgrade candidates, margin recovery stories, deep value opportunities, or stocks showing improving risk-reward.

We support investment firms and financial institutions in managing, validating, structuring, and maintaining financial and market data used across research, portfolio analytics, screening, valuation, and reporting workflows.

Our services include financial data extraction from filings and disclosures, cleansing and normalization of large datasets, holdings and benchmark mapping, consensus and earnings tracking, data validation and reconciliation, corporate action treatment, and preparation of structured data outputs, dashboards, and publication-ready reports across spreadsheet, PDF, and platform-based formats.