Research
MorMag believes rigorous research is the foundation of effective capital allocation. Our analysis combines macroeconomic insight, company-level fundamentals, and long-term structural thinking to identify opportunities across global markets.
Featured Research
Liquidity and Volatility: The Hidden Drivers of Market Behaviour
Liquidity conditions shape price behaviour and volatility across markets, influencing how quickly information is absorbed and how dramatically assets respond to economic events.
From Signals to Portfolios: Translating Market Data into Investment Decisions
Quantitative signals become valuable only when translated into disciplined portfolio construction, where risk management and diversification convert insight into practical investment strategy.
The MorMag Investment Framework
An overview of the analytical framework guiding MorMag’s investment approach, integrating macroeconomic insight, fundamental analysis, and systematic research.
Why Most Stock Prediction Models Fail
Many predictive models fail due to overfitting, unstable signals, and changing market dynamics, highlighting the importance of robustness, validation, and disciplined modelling practices.
Who We Are at MorMag
An introduction to MorMag Asset Management, outlining the firm’s philosophy, research approach, and commitment to disciplined, long-term capital allocation.
Feature Engineering in Financial Machine Learning
Effective feature engineering transforms raw financial data into meaningful signals, enabling models to capture patterns within complex and evolving market environments.
Signal vs Noise
Financial markets generate enormous volumes of data, yet distinguishing meaningful signals from background noise remains one of the central challenges of quantitative investing.
Building a Market Intelligence Engine
Designing a systematic market intelligence framework requires integrating data pipelines, analytics, and modelling tools to uncover patterns across global financial markets.