Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. We investigate whether this practice appropriately addresses the unique characteristics of financial data, where correlations often encode fundamental economic...

Traditional income distribution models, such as the classical lognormal, often fail to capture upper-tail behavior, a limitation that becomes more evident during periods of inflation and structural economic change. These weaknesses can lead to an underestimation of top-income concentration and...

Quantitative indicators at the local level play an increasingly important role in the formulation and evaluation of regional policies. Regional statistical indicators are available from several sources, but comparability of their time-series is often affected by breaks caused by boundary changes...