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Hรฉctor Melchor Alaiz - SIBE - MEFF - Clearing

Sep 2026 โ€ข linkedin

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๐—ข๐—ป๐—ฒ ๐—ฏ๐—ฎ๐—ฑ ๐—ฑ๐—ฎ๐˜† ๐—บ๐—ผ๐˜ƒ๐—ฒ๐—ฑ ๐˜€๐˜๐—ฟ๐—ฒ๐˜€๐˜€ ๐—ผ๐—ฑ๐—ฑ๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐Ÿฎ๐Ÿฌ% ๐˜๐—ผ ๐Ÿด๐Ÿต% A rolling 60-day volatility estimate barely twitched on the same print. That speed gap is the entire case for filtering. Two Gaussians and a transition matrix reproduce what textbooks call anomalous: fat tails, negative skew, volatility clustering. Calm state: mean +0.05% daily, vol 0.8%. Stress state: mean -0.10%, vol 2.0%. Stay-probabilities of 0.98 and 0.90 give ๐—ฐ๐—ฎ๐—น๐—บ ๐˜€๐—ฝ๐—ฒ๐—น๐—น๐˜€ ๐—ผ๐—ณ ๐Ÿฑ๐Ÿฌ ๐—ฑ๐—ฎ๐˜†๐˜€ and stress spells of 10. Then โ€ฆ

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#QuantFinance#HiddenMarkovModels#RegimeDetection#Volatility#BayesianInference#RiskManagement
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