@Jonathan Greene I'm not sure what you mean by "most will not cash flow as an out-of-country investor" as it might suggest that the cash-flow of a given property has something to do with the nationality or residence of the owner but, in any case, you're absolutely correct that, historically, the net rental yields of LTRs in US cash-flow markets like the Mid-West have been typically higher than in the average European market, although that wouldn't be the case for many other US markets like California or New York.

Because this property is located in midtown historic district of Sacramento, we feel there may be market for both MTR and STR, but first thing is we will target LTR and let 3 or 4 units filled in.When we first start developing this apartment from ground up, it was intended to flip and move on to the next project, with timing and interest rate etc.. we deiced to keep it as a cash cow for a while and see how things go.  

Some of the additional benefits include:Reduction in current tax liabilityInsurance savingsImmediate increase in cash flowMinimization of recapture upon sale of the assetIdentifying disposition expensesIdentifying repair and maintenance expensesEnergy cost savingsConstruction tax planningPreservation tax credits (historical and new market)Fixed asset reviewDEIRA Reports (reduces insurance premiums, benchmarking reports, energy audits and reserve studies)What other questions do you have about cost segregation?

Don't base it on one data point that is not available :) good luck

Read the full article here.https://www.politico.com/states/california/story/2020/05/07/california-faces-54b-budget-deficit-1282926The past may have been good to California investors but from the current data, the future does not look so promising.   

I posted several blowing holes in every new variant of this scheme you dreamed up.I used to build depreciation amortization tables for billions of dollars of assets, was head of balance sheet policy (large chunk of which was amortization) at a Fortune 50 company, and am currently a data scientist doing math literally all day.

There are plenty, especially now, that are providing 10%+ yields, and have a long historical record of performing.  

There was a lot of data in your first post about brands, and the like and things got off the rails.So, as I see it, you would be selling a business.

My goal is to build a data-driven tool that provides actionable insights into which neighborhoods and property types are in the highest demand, based on metrics like:Time on market: How quickly rentals are being leased.Property characteristics: Bedrooms, bathrooms, size, and amenities.Pricing trends: Rental rates relative to market demand and property features.Visual quality: Leveraging property photos to analyze the style and condition of rentals that perform well.The tool will allow users to:Pinpoint areas with the fastest rental turnovers.Understand what types of properties (size, price range, features) rent the quickest.Gain deeper insights into property presentation and amenities that correlate with high demand.Thank you in advance for your feedback.

For market pricing, I collect LTR data from BP rent calculator and multiply by 1.5x.