Stylized facts of financial returns are robust qualitative statistical regularities found across many instruments or datasets, abstracting from their individual details. Examples include heavy return-distribution tails relative to a Gaussian model, weak linear autocorrelation of many liquid-market returns beyond short lags, and persistent clustering of large absolute or squared returns. Some markets also show asymmetric return-volatility responses and partial movement toward a Gaussian aggregate distribution at longer horizons.
These are empirical tendencies with sampling-scale and market qualifications, not exact universal equations. In particular, weak return autocorrelation does not imply independent increments: volatility clustering and higher-order dependence can remain. A useful model should state which regularities it explains and which its assumptions exclude, rather than treating one convenient random-walk model as an observed law.
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