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
The Topology of Capital Flows
The topology of capital flows provides a powerful framework for understanding modern financial markets. At MorMag, this systems-oriented perspective forms an important component of market analysis, complexity research, and portfolio construction.
Network Effects as Investment Opportunities
Network effects represent one of the most powerful forces in modern markets because they create self-reinforcing systems in which growth itself generates additional value. At MorMag, network effects are viewed through the broader lens of complexity science, adaptive systems, and structural investing.
Systems Thinking in Finance
Systems thinking provides one of the most powerful frameworks available for understanding financial markets because it recognises that markets are not collections of isolated assets but interconnected adaptive systems. At MorMag, this perspective forms part of a broader investment philosophy grounded in complexity science, behavioural finance, adaptive systems theory, and probabilistic reasoning.
Phase Transitions and Financial Crises
Phase transitions provide one of the most powerful frameworks available for understanding financial crises because they explain how seemingly stable systems can transform rapidly into unstable ones. At MorMag, this perspective forms part of a broader investment philosophy grounded in complexity science, network theory, adaptive systems thinking, and probabilistic risk management.
Financial Contagion Through Networks
Financial contagion through networks provides one of the most powerful explanations for how local financial shocks evolve into systemic crises. At MorMag, this perspective forms part of a broader investment philosophy grounded in complexity theory, systems thinking, adaptive markets, and probabilistic risk management.
Complexity Theory and Investing
Complexity theory offers one of the most powerful frameworks available for understanding financial markets because it recognises markets for what they truly are: complex adaptive systems composed of countless interacting participants operating under uncertainty. At MorMag, this perspective forms part of a broader investment philosophy grounded in systems thinking, behavioural finance, probabilistic reasoning, and adaptive intelligence.
Markets as Evolutionary Systems
Markets as evolutionary systems provides one of the most powerful frameworks for understanding modern finance. At MorMag, this perspective forms part of a broader philosophy grounded in complexity science, adaptive systems thinking, behavioural finance, and probabilistic reasoning.
Agent-Based Models of Financial Markets
Agent-Based Models of Financial Markets provide a powerful framework for understanding how complex market behaviour emerges from the interaction of diverse participants operating under uncertainty. At MorMag, this perspective forms part of a broader quantitative framework focused on adaptive systems, behavioural finance, market microstructure, and probabilistic reasoning.
Evolutionary Finance and Reinforcement Learning
Evolutionary finance and reinforcement learning provide complementary frameworks for understanding financial markets. At MorMag, this perspective informs a disciplined approach to strategy development and capital allocation, integrating quantitative tools with an understanding of complexity and adaptation.
Are Markets Stochastic?
Financial markets exhibit stochastic behaviour. Prices evolve in ways that are uncertain and probabilistic, reflecting the continuous arrival of new information and the interaction of diverse participants. At MorMag, this duality is central, markets are modelled as stochastic systems, but interpreted as complex, adaptive structures.
Systemic Risk and Contagion
Systemic risk and contagion reflect the interconnected nature of financial markets. They describe how disturbances propagate, how feedback amplifies outcomes, and how local events can become global disruptions. At MorMag, this perspective informs a disciplined approach to risk management, in which the focus extends beyond individual positions to the system as a whole.
Markets as Networks
Financial markets are not simply aggregates of assets. They are networks in which nodes are connected through relationships that transmit information, capital, and risk. At MorMag, this perspective informs a disciplined approach to analysis in which structure, behaviour, and interaction are considered together.
Financial Markets as Complex Adaptive Systems
Financial markets are best understood as complex adaptive systems in which outcomes emerge from the interaction of diverse participants operating under uncertainty. At MorMag, this perspective complements quantitative and probabilistic approaches, supporting a structured yet flexible framework for navigating uncertainty.
Evolutionary Economic Geography and Financial Markets
Evolutionary economic geography offers a powerful framework for understanding financial markets as evolving systems shaped by history, interaction, and adaptation. At MorMag, this perspective complements quantitative analysis and probabilistic modelling, supporting a more comprehensive approach to navigating complex financial systems.
Market Dynamics
Financial markets are complex systems shaped by the interaction of perception, strategy, and behaviour. At MorMag, this understanding complements quantitative analysis, supporting a more complete approach to navigating uncertainty.
How MorMag Uses Advanced Sampling Methods End-to-End
Advanced sampling methods enable the MorMag Quant Lab to move beyond static modelling and toward a dynamic, probabilistic framework for analysing financial markets.