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A Practical Implementation with Analytical Platforms and Equations from Economic Theory and Artificial Intelligence: A Quasi-Passive Investment paradigm in ETFs and Other Asset Types
This paper proposes a holistic model that integrates macroeconomic, meso-level, microeconomic, external sector analysis, and strategies for risk-averse investors. The integration of advanced theoretical tools—such as Dynamic Stochastic General Equilibrium (DSGE) models with heterogeneous agents, the augmented Taylor Rule, the input-output matrix, Vector Autoregressive (VAR) models, and valuation techniques like Discounted Cash Flow (DCF) and Capital Asset Pricing Model (CAPM)—enables the construction of an investment system capable of generating sustainable returns while simultaneously funding social initiatives. The model proposes a self-financing pathway that reduces dependence on fundraising, promoting the reinvestment of profits in strategic areas such as health, education, and social security. This approach offers a means to address demographic and economic challenges, transforming capital into a driver of equity and social progress.
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