Navigating the ubiquitous non-normality within financial data, this study meticulously unravels the complex, often asymmetric, nature of financial return distributions across diverse asset classes and market conditions. Steering away from traditional Gaussian assumptions, the research sheds light on substantial disparities between theoretical frameworks and actual market phenomena by deploying normality testing techniques. Through an amalgamation of statistical, econometric, and network analyses, this research offers integrated insights into financial market dynamics.
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Choi et al. (2024) studied this question.
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