Miami snapshot — price movement +3.2%?

I’d model two cases rather than force one conclusion: completed-sale prices are rising with normal listing volume, or asking prices are rising while cuts and withdrawals increase. The first supports a genuine shift; the second looks more like seller expectations running ahead of buyers.
 
The offer-history trail can help place reductions and buyer responses in sequence, which answers part of Rafael’s timing point. It still needs to be paired with the association information or building records relevant to each property; a clean timeline does not resolve the underlying reserve risk.
 
My next step would be to narrow the geography, separate freestanding from association-managed warehouses, group by condition, and compare recent completed sales. Then add new listings, withdrawals and first price-cut timing. If +3.2% survives all four filters, it is much harder to dismiss as seasonality or sample mix.
 
You must log in or register to reply here.
Back
Top