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As the system approaches criticality, we prove that the suitably rescaled intensity vector converges weakly to the unique solution of a coupled system of stochastic Volterra equations of rough-volatility type. The first limiting component is autonomous, while the second is driven both by its own noise and by an inherited noise transmitted from the first component through an effective cross-kernel. This cross-kernel is the convolution of the two limiting Mittag-Leffler kernels and therefore combines the two memory structures.
As a consequence, we obtain a short-time cross-decorrelation law: although the two components are coupled, their functional correlation vanishes at small time scales at an explicit polynomial rate. This time-dependent correlation distinguishes the limit from independent rough processes and from classical bivariate rough models with constant Brownian correlation.
From: Sohaib El Karmi [view email]
[v1]
Tue, 5 May 2026 12:51:19 UTC (38 KB)
[v2]
Wed, 6 May 2026 13:06:24 UTC (37 KB)
[v3]
Mon, 15 Jun 2026 10:55:14 UTC (51 KB)
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