Our Approach
Factor-Based Investing,
Customized for India
ActiveAlpha employs a systematic, multi-factor investment approach that identifies and harvests proven return factors in Indian equities. Unlike discretionary managers who rely on individual stock-picking judgment, our process is entirely rules-based, transparent, and reproducible.
What makes our approach unique is not the concept of factor investing — which has been well-established in developed markets — but our deep customization of factor definitions for India's unique market dynamics. Over 15 years, we have built the most comprehensive factor dataset for Indian equities, incorporating signals that simply do not exist in standard global factor models.
Multi-Factor Framework
Quality
25%Return on equity, earnings stability, balance sheet strength, corporate governance scores
Value
20%Price-to-earnings, price-to-book, enterprise value multiples — adjusted for India's growth premium
Momentum
20%12-month price momentum with 1-month reversal exclusion, relative strength indicators
Low Volatility
15%Realized volatility, downside deviation, maximum drawdown characteristics
Growth
10%Revenue growth, earnings growth, cash flow growth — forward-looking and historical
Size
10%Market capitalization tilt toward mid-cap sweet spot where alpha generation is highest
Why India
Is Different
Standard global factor models fail in India because they don't account for the structural differences that define Indian markets.
Promoter Behavior Analysis
We track promoter pledging, insider transactions, and ownership patterns — signals uniquely predictive in India's promoter-dominated corporate landscape.
Government Policy Sensitivity
India's markets are heavily influenced by government policy. We model sector-level sensitivity to budget announcements, regulatory changes, and reform cycles.
Corporate Governance Scoring
Proprietary governance scoring capturing related-party transactions, board independence, audit quality, and minority shareholder treatment.
Monsoon & Seasonal Adjustments
Agriculture still drives significant economic activity. Our models adjust for monsoon quality, rural consumption patterns, and seasonal demand cycles.
Investment Process
Universe Definition
Start with 500+ liquid Indian equities across NSE and BSE, filtered for minimum market cap, trading volume, and free float.
Factor Scoring
Each stock is scored across all six factors using our proprietary India-customized definitions and weightings.
Composite Ranking
Factor scores are combined into a composite alpha signal using dynamic weighting that adapts to market regime.
Portfolio Construction
Top-ranked stocks are assembled into a portfolio with sector, size, and concentration constraints.
Risk Optimization
Portfolio is optimized for risk-adjusted returns using our proprietary risk model calibrated to Indian market dynamics.
Execution & Rebalance
Systematic monthly rebalancing with transaction cost optimization and market impact minimization.
AI & Machine Learning Integration
While our core investment philosophy remains rooted in well-established factor premia, we augment our process with artificial intelligence and machine learning techniques. These tools enhance our ability to process alternative data, identify non-linear relationships, and adapt to changing market regimes.
Our AI/ML capabilities include natural language processing for earnings call analysis, satellite imagery processing for economic activity indicators, and ensemble machine learning models for factor timing. These are not black boxes — they are transparent, explainable tools that complement our systematic framework.