NMI Holdings (NMIH) concentration risks

The company's concentration profile combines a regulatory domicile dependency and a counterparty concentration tied to the structure of the private mortgage insurance market. On the regulatory side, the primary operating insurance subsidiaries are domiciled in Wisconsin and principally regulated by the Wisconsin Office of the Commissioner of Insurance — a high-share structural exposure by disclosed size. Because insurance subsidiaries are regulated at the state level and must meet capital, dividend, and operational requirements set by the domicile regulator, any adverse change in Wisconsin OCI policy — including constraints on dividend upstream, minimum capital requirements, or operating restrictions — would directly affect the company's financial flexibility. This is structural rather than idiosyncratic: the regulatory domicile is a function of where the entities were organized, not a counterparty relationship that could be renegotiated. On the customer side, the private mortgage insurance market in the U.S. is driven in large part by the government-sponsored enterprises' demand for high-LTV loans — a moderate-share mixed exposure by disclosed size. The character is mixed because the GSE demand for MI coverage has both structural features (it is embedded in GSE credit guidelines for high loan-to-value originations) and dependency features (changes in GSE credit policy, capital requirements, or the conservatorship framework could alter the volume and terms of MI demand). Together, the two exposures define the operating framework: a Wisconsin-regulated insurer whose core business demand is driven by GSE credit standards. Both are well-understood in the private MI sector and do not represent unusual or undisclosed risks, but changes in either the Wisconsin regulatory environment or GSE policy would have outsized effects on the business.

For the engine’s reasoning on NMIH’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.

Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.