About Us

  • Azimuth Research is an innovative investment research firm that is focused on uncovering distinct sources of investment alpha through rigorous quantitative and fundamental research across global markets and asset classes. Our focus is on consistent alpha generation through absolute return strategies with asymmetric risk-return profiles and an emphasis on capital preservation.
  • We actively research over 2000+ global stocks across US, India and other select developed and emerging countries, various trending investment themes and develop Quantamental and Systematic trading strategies and related portfolio management solutions.
  • Our research aims to build up a “latticework of models and frameworks” that can be deployed across various profitable investment strategies that span multiple asset classes including Global Equities and Options, FX, CTA Futures and select derivative strategies.
  • We work with traditional and alternative data sources and modern technology platforms to support our research activities.
  • We partner with leading global investment firms to deliver innovative investment products and solutions to our clients through opportunistic sub-advisory and multi-manager mandates.

Our Philosophy

  • Our investment philosophy is anchored in the identification of systematic sources of alpha with low correlations with broad beta. We aim for consistent alpha generation through absolute return strategies with asymmetric risk-reward profiles and an emphasis on capital preservation.
  • We believe in the cumulative power of talented professionals and cohesive teams that embrace diversity to deliver effective client outcomes.
  • We continuously challenge our assumptions and aim to anticipate and stay on top of changing trends and themes in the global investment arena.
  • We are innovators and we continuously strive to develop better tools, methodologies and investment solutions to meet and exceed our clients’ expectations.
  • We believe that better investing should serve a bigger purpose in the service of humankind and society at large.

Azimuth Research is committed to maintaining the highest ethical and regulatory compliance standards in conducting its business. Our operating processes and team culture emphasize effective oversight and strong accountability throughout the firm.

Ethics &
Integrity

INSIGHTFUL RESEARCH SYSTEMATIC ALPHA ABSOLUTE RETURNS

Quantamental Strategies

We research global equities through a quantamental process that combines various sectoral themes with fundamental firm level analysis and quantitative factor models.

Our research insights draws upon the complex inter-relationships across the firm level narratives ( Product Lifecycles, Moat and Competitive advantages, Management expertise, Capital Allocation, ESG assessments and Sectoral tailwinds), Firm’s business model and Value drivers, Financials, Valuation and its linkages with Factor Exposure models. We also evaluate the attractiveness of investment opportunities through Technical Analysis signals within a Macro / Cross-asset perspective. This cross-disciplinary approach helps us uncover distinct investment opportunities and sources of alpha.

We also build on the investment insights and methods of successful investment practitioners around the world and aim to distil their empirical wisdom into quant signals and rules based approaches for stock screens

Systematic Trading

We believe Systematic Trading strategies have the potential to deliver consistent sources of returns that are orthogonal to and uncorrelated with traditional equity market beta.

We research and develop select algorithmic systems for Systematic Trading strategies based on well-documented short-term market anomalies, technical analysis signals and volatility based models. These strategies are designed to broaden portfolio exposure to short horizon factors and enhance returns. Our trading models span trend, mean-reversion and volatility factors and niche opportunities such as event driven trades, index rebalancing and short-term trading. At this point, we are exploring the use of machine-learning techniques with advanced time-series concepts for algorithmic trading.




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