Archive for December 1st, 2008

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In Search of Truth : The Method

December 1, 2008

We learned a lot about the Case-Shiller Index last week.  Admittedly, we have not placed much faith in this particular index for the following reasons.  First, it analyzes metropolitan area statistics.  If you haven’t figured it out by now, we’re much more into neighborhood-level data, as we have found that neighborhoods truly are their own micro-markets, each behaving in their own way.  Another reason we did not give Case-Shiller much credit is because they leave out condos, TIC’s, stock cooperatives, and lofts.  The index is based upon single family home sales only.  This is a big drawback.

Don't worry, your detective has arrived.
Your detective has arrived.

Despite these shortcomings, we read through the 40 page document describing the Case-Shiller methodology.  There is certainly value in what they are attempting to do.

In short, they look at the sales price of a recently sold home and compare it to the previous sale of that same home.  This allows them to see whether the home appreciated or depreciated, and at what rate.  Comparing the home to itself controls for factors that can dirty data when comparing homes against other homes.  When a particular home has a previous sale to which it can be compared, this called a “matched pair“.  Case-Shiller takes thousands of matched pairs to come up with their overall metropolitan area (MSA) trend.  The other brilliant thing about Case-Shiller is that they discard sales of homes that took place off-market, that were flipped (two sales too close together), and that had gains from major renovation projects or significant added square footage.  Do they go through each listing manually to verify this?  This answer is no.  There is an algorithm that decides which matched pairs to keep and which ones to discard.

Case-Shiller does offer zip-code level based data.  We called the provider (Fiserv) to purchase it so we could report on it and give it to you.  However, only institutions can purchase the data and furthermore, they cannot reproduce or share the data with anyone else (per the user license).

SO – what we’ve done is come up with our own methodology, drawing from the positive aspects of the Case-Shiller Index and applying it to our micro-markets here in San Francisco.  We’ll be reporting on each neighborhood as we go through them one by one.  Is this painstaking?  You bet.  But we are in search of truth.  And that’s what the series will be called… “In Search of Truth”.

Here’s a look at our methodology: Read the rest of this entry ?

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Poll Results – Would You Own a TIC?

December 1, 2008

You may recall that on November 18 we submitted a poll for our readers to get your feedback on Tenancies in Common (TIC’s).  After 12 days, we feel we have enough data to draw some conclusions.

Almost half of you said you would not own a TIC.  This is pretty consistent with what we find by working in the industry.  About 31% of you replied with some form of “maybe”, and 13% of you said “yes”.  By our calculation, that makes 44% who would at least consider the possibility of owning a TIC.

Here’s a look at the results:

TIC Poll Results
TIC Poll Results

To share this post, continue reading –> Read the rest of this entry ?

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Getting Granular in the Inner Mission

December 1, 2008

The Inner Mission (aka The Mission) is one of San Francisco’s most unique and happening neighborhoods.  While it does suffer from higher crime than other parts of the City, that does not keep people from frequenting and living in this amazing area.  Tons of great restaurants, bars, coffee houses, and clubs line the sidewalks for miles.  Home to hipsters and habaneros, there’s something going on in the Mission 24 hours a day.

The Inner Mission as seen from nearby Liberty Hill (click to enlarge)
The Inner Mission as seen from nearby Liberty Hill (click to enlarge)

We looked at median sales price trends for condominiums in the Mission over the past 14 years.  Because the neighborhood caters to a younger crowd and is convenient to Penninsula commuters, we were especially curious to see how the dot com crash of ’01 affected median values in the nabe.  What did we find? Read the rest of this entry ?

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