Aurora Capital Group builds a “three-pillar investment research framework” (macro-fundamentals-quantitative) and a prototype industry database
In June 2018, Aurora Capital Group’s New York headquarters hosted another intense round of strategic discussions. Just three months after the company completed its dual-hub structure in the US and Europe, the core team’s attention shifted from organizational structure to refining its investment research system. Over several days of closed-door meetings, a methodology known as the “Three-Pillar Investment Research Framework” gradually took shape. This framework, with macroeconomic research as the steering wheel, fundamental analysis as the engine, and quantitative models as the control system, complemented each other to form a replicable, scalable research system that deeply aligned with the company’s global presence.
The motivation for building this framework is straightforward. Aurora’s early operations in New York and Madrid exposed a problem: while team members excelled in different analytical dimensions, they lacked a unified logical foundation for cross-market and cross-asset judgment. This meant that when faced with complex global economic signals, information was easily fragmented, and decision-making took longer. In the capital markets, time delays are costs, even risks. Therefore, Aurora decided to use a standardized, structured framework to unify macro trends, enterprise-level data, and quantitative analysis into a single research pipeline.
Macroeconomic research is prioritized within the framework. The New York team tracks monetary policy, fiscal developments, and geopolitical events in the United States and major global economies, focusing on their impact on cross-border capital flows and risk appetite. The Madrid team analyzes economic signals from the Eurozone and emerging Europe, including central bank meeting minutes, industrial policies, and shifting foreign trade patterns. Macroeconomic reports from both locations are updated daily and synchronized in real time via an internal platform, providing guidance for other research modules.
Fundamental analysis, the second pillar, is a key tool for Aurora to identify value at the industry and company levels. In New York, the team focuses on the earnings cycles and competitive landscape of the technology, energy, and financial sectors, while in Madrid, they focus on market share shifts in industrial manufacturing, renewable energy, and consumer goods. Each fundamental study adheres to a rigorously standardized template, encompassing everything from revenue structure to cash flow performance, governance structure to industry barriers, ensuring that cross-regional research is directly comparable and integrated into the global portfolio.
The third pillar is quantitative analysis, an area where Aurora hopes to differentiate itself from traditional asset managers. The company has recruited a team of analysts with backgrounds in mathematics, statistics, and computer science. They integrate historical data with real-time market trends and, through proprietary factor models and backtesting systems, provide probabilistic validation and risk assessment for macroeconomic and fundamental analysis. The quantitative team has also begun building a real-time monitoring system for multi-asset strategies, enabling quantitative assessment of potential drawdowns and risk exposure before investment decisions are executed.
In parallel with the “Three-Pillar Framework,” the initial development of the Aurora Industry Database is underway. This is more than a simple collection of information; rather, it is a data structure designed according to investment research principles, encompassing macroeconomic indicators, industry data, company financial statements, market trends, and news event tags. The team’s modular design allows data to be directly incorporated into quantitative models and provides visualization support for fundamental analysis. The database’s architecture is led in New York, with Madrid responsible for supplementing data inputs from Europe and emerging markets, ensuring the data dimensionality and coverage necessary to support global investment decisions.
At the end of the meeting, the founder emphasized that Aurora isn’t pursuing short-term tactical victories, but rather building a long-term, effective investment research engine. This “three-pillar” system is not only a methodology but also an extension of the company’s culture: decisions must be based on multi-dimensional validation, and investment logic must transcend geographical and industry constraints. By June 2018, Aurora Capital Group’s investment research system, from conception to implementation, had developed the core capabilities to operate sustainably in global markets.
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