
26 June 2022 | 42 replies
Luxury segment will depend on whether and when the stock market rebounds.

4 June 2023 | 19 replies
The segment between US1 and 95 is quite nice and you should be able to get a pool or 4BR (or both) - that might be your winning location.Tchaka

14 December 2022 | 50 replies
There will be a decent amount of losses in the STR segment.

19 October 2023 | 203 replies
Yeah, those producing, net-exporting, thriving while net-importers living off borrowed $ and time, heavily segmented between the haves and have not's, mass poverty....

31 August 2023 | 15 replies
Its one of the many ways to segment the risk profiles since the landlord on the lease is the mgt LLC.
17 October 2021 | 2 replies
Instead, the most likely reason why Zillow is pulling back from robo-flipping is that the housing market is starting to crack and this particular segment is no longer profitable.

3 July 2021 | 50 replies
They are serving a segment of sellers.

14 December 2023 | 8 replies
Some segments stay longer than others on average.In 2005, when I selected Las Vegas to set up my business, I did extensive tenant segment research.

15 January 2024 | 9 replies
Spend some time learning and listening, so you can identify a segment of real estate that really lights you up.

26 December 2023 | 50 replies
The real question is how much this would skew the plotted data.Currently, I do split the market into the avg high, mid, and low $/sf segments over time, you can see the high-end (renovated/new) product shifts with the most magnitude (across almost every market not just 91324), but this does not represent absorption like you desire, only $/sf:To research your hypothesis, I would have to:1) Select a year's worth of transactions (ideally across a 10k+ transaction/year market to be representative, say Los Angeles)2) Manually review every transaction's photos, marking them 'Renovated/New' if it is, to segment this transaction data from the rest of the transactions3) Calculate & plot absorption of the 'Renovated/New', and compare it to the absorption of the rest of the transactions4) When overlaid atop one another, their slopes would reveal the impact you mention in your hypothesis #1 -If you are right, we would see the cheap houses slope increase heavily Q1-Q4, with the expensive houses slope decreasing Q1-Q4, and vice-versa.I've run comps thousands of times when underwriting (looking for high-end renovated homes to use as comps) and I have yet to detect such a phenomenon.