Skill UI

This tool automates the process of optimizing investment portfolio allocations using a mean-variance engine. It integrates neural prediction models and risk constraints to determine optimal asset weights. Users can set specific risk targets, assess comprehensive risk metrics (variance, correlation), and generate actionable, step-by-step rebalancing plans for professional portfolio management.

This guide provides expert advice on balancing rigorous theoretical modeling (like DSGE) with empirical data in international macroeconomics. It teaches authors how to appropriately "right-size" theoretical components, ensuring the model is disciplined by data and delivers policy-relevant counterfactuals, which is crucial for publication in top journals like IMFER.

A methodological guide for empirical economists on balancing theoretical depth with empirical findings. It advises authors on how to structure models—determining if a structural, light, or minimal theory dose is appropriate—to ensure the core contribution remains the testable estimate, rather than the theory itself.