Impact of Global Minimum Tax on Tax Competition and Foreign Direct Investment in Emerging Economies

Forecasting has always been a foundational element in the financial services industry. From projecting economic indicators and modeling credit risk to anticipating stock market trends, the ability to make accurate predictions has long been regarded as a core competitive advantage. Traditionally, financial forecasting relied on classical statistical techniques such as autoregressive models, exponential smoothing, and regression analysis. These approaches, while mathematically rigorous, often assumed linearity, stationarity, and data sufficiency—conditions that do not always hold in the dynamic, complex financial environment of today.