Explain calibrated Heston parameters in plain English#13
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The single fixed initial guess, price-error objective, and absence of parameter bounds let Levenberg-Marquardt settle in a degenerate corner (theta=0, Feller violated, ~11 vol-pt RMSE) on steep equity skews. Replace with a multi-start, bounded fit that minimises implied-vol error and seeds v0/theta from the at-the-money and median variance of the quotes. On steep market-like surfaces this drops vol RMSE from ~11 to ~0.5 with no theta collapse, while synthetic recovery stays at 0.008. Surface the Feller condition on the page so stressed fits are visible. https://claude.ai/code/session_01AXbuChtmt8Xo4cxEtKrady
Replace the raw parameter dump with headline derived readouts (instantaneous vol √v0, long-run vol √θ, variance shock half-life) and a dynamic per-parameter breakdown that interprets each fitted value, plus a one-line gloss of the Merton jump parameters. https://claude.ai/code/session_01AXbuChtmt8Xo4cxEtKrady
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