Overview

In the context of global economic volatility and rapid financial digitalization, this monograph explores the strategic importance of data-driven financial models for enhancing financial resilience and sustainable growth in emerging markets, with a primary focus on Uzbekistan. The research integrates theoretical frameworks from classical and modern economic growth models, financial intermediation, and market efficiency, combined with empirical evidence and predictive analytics.The study is structured into three comprehensive chapters. The first chapter provides a theoretical foundation by analyzing the characteristics of emerging markets and reviewing the applicability of growth models such as Harrod-Domar, Solow-Swan, and Romer's endogenous model in financial strategy formulation. The second chapter examines practical applications of predictive financial models in Uzbekistan and similar economies, with in-depth case studies on revenue forecasting, credit risk management, and financial innovation. The third chapter outlines policy recommendations, investment strategies, and macroprudential frameworks tailored to Uzbekistan's evolving financial landscape.

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