Macro Intelligence
Inflation, growth, fiscal policy, external balances, productivity, rates, energy and cross-country convergence.
A-CLUSTER Research connects macroeconomic analysis, transparent quantitative methods and portfolio construction to study how risk, diversification and asset behaviour change across economic regimes.
The platform links macro analysis, portfolio construction and investment analytics into a common research architecture. The objective is to make methodology explicit and turn datasets into reusable decision-support systems.
Inflation, growth, fiscal policy, external balances, productivity, rates, energy and cross-country convergence.
Risk parity, regime diversification, clustering, correlation structure, stress testing and robust construction.
Dashboards, portfolio diagnostics, quantitative models and decision-support tools for investors and professional teams.
Research is organized as repeatable analytical streams connecting data, methodology, interpretation and portfolio relevance. Full article pages and interactive dashboards will be added progressively.
Headline and underlying inflation, category contributions, services persistence, energy effects and monetary-policy context.
Debt dynamics, balance-sheet structure, GDP effects and European convergence.
Productivity, compensation, unit labour costs and the interaction between income and competitiveness.
Tracing oil shocks through inflation, policy, corporate margins and portfolio exposures.
Portfolio Lab brings together allocation frameworks, backtests, risk diagnostics and macro-regime analysis in a consistent research environment.
A defensive multi-asset framework built around independent macro risk premia rather than a single growth or inflation outcome.
Allocate risk rather than capital and test whether diversification survives changes in volatility and correlation.
Research baskets focused on structural themes such as AI infrastructure, semiconductors, defence, energy and space.
This is a structural prototype, not a live signal. Production versions will connect validated macro datasets, model outputs and historical context before any regime classification is published.
Portfolio construction for changing market regimes
A practical framework for thinking about portfolio construction as a decision system: diversified across economic environments, disciplined in adaptation and explicit about the limits of prediction.
A-CLUSTER is being developed for family offices, private banks, wealth managers, asset managers and professional investment teams that need transparent quantitative research infrastructure rather than opaque black-box outputs.
Python research workflows can progressively become reusable web tools rather than remain isolated notebooks or static charts.
Compare allocation methods, constraints and portfolio risk characteristics.
Study changing correlation structures across assets and regimes.
Explore portfolio outcome distributions and scenario uncertainty.
Connect macro signals to historical regime classification.
Identify which holdings and factors dominate total portfolio risk.
Country, indicator and period comparisons from structured macro datasets.
A-CLUSTER emphasizes transparent methodology, reproducible analysis, robust portfolio construction and a clear distinction between evidence, assumptions and interpretation.