Matrix Blog

Charts, Maps, Images, Infographics, Video

One57 Flip Analysis From Manhattan’s Peak New Development

November 15, 2017 | 4:47 pm | | Articles |

For those of you that read my weekly Housing Notes, you’ll know I refer to 2014 as “Peak New Development” for the Manhattan housing market. “Peak Luxury” works as a label too.

Bloomberg news broke the story that a $50M+ condo purchased in 2014 just sold at a foreclosure auction for $36,000,0000. There were five bidders. It’s been the fourth resale since the market peaked and the sixth overall – so I created a graphic of all the resales to show how they fared before and after the 2014 “peak.”


The Bloomberg story (that I got to chime in on) lays out the details of the One57 auction sale: One57 Foreclosure Shatters Price Dreams at Billionaires’ Tower

The story reached #1 as the most read on the 350k± Bloomberg Terminals worldwide yesterday.


It is important to remember that there are still a fair amount of units remaining that are priced at 2014 levels. Extell, the developer, has their work cut out for them to compete with current market conditions.

While One57 is a symbolic poster child for the new dev phenomenon, it is not a proxy for the entire new development market. Some projects were priced more reasonably at the peak, hence they haven’t fallen as much. In addition, the quality and design of each project can vary greatly. One thing is clear – since the 2014 peak, investors don’t have the same potential for big and fast returns on flips – their initial strategy was to buy early and realize instant equity as the sponsor increased the offering prices. That scenario no longer applies. Since the market has more choices for buyers now than it did back during peak, One57 is no longer seen as a “new” building like it was back then.

CNBC picked up the story – My firm and I get a shoutout during the conversation on Sqawkbox which was pretty cool.

Luxury condo in One57 tower sold in New York City’s biggest ever foreclosure auction from CNBC.

And here’s the transcript on yesterday’s PBS Nightly Business Report show (owned by CNBC) with the shoutout that is making the rounds.

Tags: , , ,


On Bloomberg TV: What’d You Miss? 10-5-2017

October 5, 2017 | 8:25 pm | TV, Videos |

I had a fun conversation on Bloomberg Television with Scarlet Fu, Joe Weisenthal and Julia Chatterley. We were discussing the results of our research behind the Elliman Report: Manhattan Sales 3Q17 that was just released. Here is the Bloomberg story on the report results.

Here’s a portion of the interview.

If you’d like to see the whole segment, my interview starts at the 48:40 mark although I really like the format and the hosts so you might want to watch the whole show.

Tags: , ,


Real Estate ChartArt in Elliman Magazine’s Fall 2017 Issue

September 18, 2017 | 3:12 pm | | Charts |

Douglas Elliman Real Estate just published their fall issue. I created the content for pages 208-209 and I think it looks pretty snazzy (and interesting).

Click on image below to expand.

EllimanMag

Tags:


Vancouver’s Epic Real Estate Boom, Visualized

September 9, 2017 | 3:30 pm | Infographics |

The following is a housing related infographic on steroids from Visual Capitalist.

Visual Capitalist

Tags: ,


VIDEO Nightly Business Report: U.S. Luxury Market Trends

August 6, 2017 | 7:54 pm | TV, Videos |

Diana Olick of CNBC interviewed me on the reason behind the luxury market uptick as a companion piece to her story on the luxury report released by Redfin.

The luxury real estate story starts at 20:58 into the broadcast:


Tags: , , , , ,


Westchester to Manhattan Commute Time by Housing Cost

April 7, 2017 | 10:34 am | | Infographics |

Because I’m a little behind, the awesome infographic below by Michael Kolomatsky appeared in the New York Times real estate section a few weeks ago: How Much Is Your House Worth Per Minute?.

My original version covering Fairfield County was so popular they wanted me to do recurring versions. This one was much harder since there wasn’t an obvious “sweet spot” but the concept was the same. And best of all, it’s pretty darn cool.

Tags: , ,


NYT Calculator Chart: The Resale Pendulum Swings Toward Middle

January 21, 2017 | 2:50 pm | | Charts |

I love the way the NYT Real Estate section handled the data from our Elliman Report series to present the Manhattan resale market.

2017-1-22NYTcalculator

I added my chart on bidding wars below – falling as supply enters the market, causing resale prices to soften.

4qoverlistmanhattan

Tags: , , , ,


John Burns Has It Wrong, Luxury Home Sales Are Not Increasing

December 11, 2016 | 8:56 pm |

Last week a newsletter from John Burns Consulting got big SEO points by exclaiming that Wall Street Has It Wrong: Luxury Home Sales Increasing. Normally his firm is a good source of housing research, but this time they missed the mark on New York City, even when using facts.

While facts are provided and luxury sales are rising in markets like DC, there is a lack of proper context and this is a challenge that national analysts face when looking at specific market subsets. In this analysis, the luxury market was arbitrarily defined as having a $600,000 threshold. In a number of high cost housing markets on the following chart, their luxury threshold is equivalent to the entry or middle market, which I agree, is booming.

I took a look at markets I report on: Kings County (Brooklyn) and Manhattan. Their respective median sales prices of $735,000 and $1,073,750 are higher than $600,000. The John Burns definition for luxury would include more than half of these respective housing markets.

jbc-yoysalesabove600k

Besides the random threshold selection, their reasons seem to be weak. This list of common perceptions that would explain our underestimate of the strength of the luxury sales market are provided by them. I provide a subsequent clarification for each.

1. New disclosure laws. Foreign-buyer activity has slowed in two high-profile markets, Manhattan and Miami, due to threat of enforcement of new disclosure laws that began in 2016.

The market in both of these markets actually slowed sharply well before the new disclosure laws were in place. And foreign buyer participation in NYC has long been over-hyped.

2. High-profile Florida second-home markets. High-priced homes have indeed slowed in two of the highest-profile second home markets in the country, Naples (Collier County) and Palm Beach. These are two of the six counties where sales have declined.

Again county-wide prices set way below the actual luxury market may be the problem. Within Palm Beach County, I cover Palm Beach and the luxury market starts just below $5 million. In arguably the most expensive city in this county, the median price for all property types is just below their $600,000 luxury threshold.

3. Fortune article on Greenwich, CT. The sales slowdown in high-profile Greenwich, CT, was featured in Fortune magazine. The article included some very misleading headlines about a national luxury slowdown that were supported only by the fact that prices have appreciated 5% at the high end compared to more appreciation at lower prices.

This is an odd interpretation of the Greenwich market. I track this market in my research, live near it and have relatives that live there. This Fortune article was not misleading. Prices have not appreciated 5% at the Greenwich high end and $600,000 might not even buy you a starter home there. In fact, their luxury market has still not recovered from housing bubble.

4. Increased $1 million new-home supply. New-home sales have slowed in a few new-home markets due to a surge in competitive supply. Coupling this surge in supply, builders have pushed prices too high in comparison to the resale competition due to rising costs.

Why is this perception wrong? Excess or rising luxury supply is apparent across the 28 markets I research.

5. Improving entry-level sales. Entry-level sales are also improving at a faster rate than higher-priced home sales. Indeed, the market for lower-priced homes is stronger, but that does not mean that luxury sales are struggling.

True, but I think the disconnect is just the opposite. The luxury market is soft so many market participants assume the entry level is soft as well and yet it is seeing heavy sales volume.

Since housing across the U.S. is softer at the top, Wall Street looks like they have been correct about luxury. Placing a uniform threshold across a slew of different U.S. housing markets doesn’t tell us anything. Stick to specifics since that’s where you provide solid research.

Tags: ,


Declaring A Housing Recovery Using A Threshold Based on Fraud

November 30, 2016 | 3:16 pm | Charts |

S&P CoreLogic used it’s National Non-Seasonally Adjusted Housing Price Index to declare that the housing market has recovered. Even the ironies of this public relations effort have ironies. I’ll explain.

First, look at this classic Case-Shiller chart. Notice how the arrows don’t connect to the lines they are associated? I’m being petty but it looks like the chart was updated and rushed out the door.

csiclassicchart11-2016

Incidentally, who controls the Case-Shiller Indices brand these days? It used to be “S&P/Case-Shiller Indices.” Here are a couple of variations found in the first paragraph of the press release:

  • S&P Dow Jones Indices
  • S&P CoreLogic Case-Shiller Indices

but I digress

Since the financial crisis, I have spent a good deal of time explaining away the reliability of the Case Shiller Index.

To be clear, I greatly admire Robert Shiller, the Nobel Laureate and his pioneering work in economics. I’ve had the pleasure of speaking with him on a number of occasions both publicly and privately. He and I were on stage together at Lincoln Center back during the housing bubble for a Real Deal event.

During the bubble I was the public face of a short lived Wall Street start-up that collapsed when the bubble burst. Like Case-Shiller it was built to enable the hedging of the housing market to mitigate risk using a different methodology, avoiding the repeat-sales method used in CS. The firm had annoyed Shiller by constantly citing the issues with the CS index and we got far more traction from Wall Street with our index that was (literally) built by rocket scientists. It got to the point where he mentioned me and the startup by name at a conference in frustration.

thhpodcastlogo

After I disconnected with the startup before it imploded, I reached out and we made up. In fact he did my Housing Helix podcast (link broken but hope to bring it back online soon for historical reference) at my office back when I was doing a podcast series of interviews with key people in housing). Also we’ve run into each other on the street in Manhattan a number of times. In fact when he learned of my love of sea kayaking he gave me the latitude and longitude coordinates of his island vacation home in case I was nearby. You can see that I feel a little guilty criticizing the use of the index since he is one of the nicest and smartest people I’ve ever had the honor to meet.

But I don’t like the way S&P, Dow Jones and/or CoreLogic have positioned Case-Shiller as a consumer benchmark. And especially yesterday’s announcement as a marker for the recovery of the U.S. housing market. I feel this is a low brow attempt by these institutions to leverage publicity without much thought applied to what is actually being said. Here are some thoughts on why it is inappropriate to use this moment as a marker for the housing recovery.

“The new peak set by the S&P Case-Shiller CoreLogic National Index will be seen as marking a shift from the housing recovery to the hoped-for start of a new advance” says David M. Blitzer, Managing Director and Chairman of the Index Committee at S&P Dow Jones Indices.

Blitzer remains in the very awkward position of explain away the gap between the market 6 months ago and current condition as if there is no difference. He does this by using anecdotal commentary about metrics like supply that has nothing to do with the price index as well as making pithy remarks.

  • The Case-Shiller National Index is being touted for reaching the record set in the housing bubble a decade ago despite the record being set back then by artificial aka systemic mortgage fraud. However their 20 city index has been pushed as the key housing benchmark for more than a decade, not the national index. And they are using the non-seasonally adjusted national index to proclaim the record beaten despite their long time preference of presenting seasonally adjusted indices (the seasonally adjusted national index has not broken the housing bubble record yet).

  • The credit bubble got us to the 2006 peak, not anything fundamental.

cshpitablefrompeak11-2016

  • In my thirty years of valuation experience, I have learned that sales transactions, not prices, should be the benchmark for a housing market’s health.

  • The 0% markets that reached the 2006 peak are super frothy – created by rapidly expanding economies and an inelastic housing supply. Income growth doesn’t always justify their price growth. Click on table below for the markets shaded in turquoise.

csnsazero

Some important background points on the Case Shiller Home Price Index (CS) – that most of its users are unaware of:

  • CS was never intended for consumer use! It was built for Wall Street to trade derivatives to hedge housing market risk much like hedging risk for weather, insurance, non-fat dry milk and cheddar cheese.

  • CS never caught on because housing is a slow and lumbering asset class, unlike a stock which has much more liquidity. The flaw during this bubble period was the way Wall Street and most real estate market participants considered housing as liquid as a stock and how financial engineering had enabled that liquidity.

  • As access to public housing data has become more ubiquitous, the index has been more easily gamed by companies like Zillow, who have been able to accurately predict the index results much sooner rendering the index as useless for hedging.

  • CS lags the actual “meeting of the minds” between by buyers and sellers – when they agree on the price and general terms – by 5-7 months. The November report just released was based on the 3 month moving average of closed sales from July, August and September. If we say that contract to close period is an average of 60 days, then the contracts signed in this batch of data represent May, June and July. And the time between the “meeting of the minds” and the signed contracts can be a couple of weeks, so the results in yesterday’s lease of the Case-Shiller index represents the period around Memorial Day weekend as summer was getting started.

  • CS only represents single family homes (although they have an index for condos).

  • CS excludes new development.

  • There is little if any seasonality in the CS methodology (even though there is a seasonally adjusted version).

  • Geographic areas in the 10 and 20 city CS indices are incredibly broad. For example, the “New York” index includes New York City, Long Island, Hamptons, Fairfield County, Westchester County, a bunch of counties in northern NJ and a county in Pennsylvania. Yet this index is often represented as a proxy for the Manhattan housing market by national news outlets. Manhattan residential sales have about a 1% market share of single family homes.

In other words, the CS index is a great academic tool to trend single family home prices at a 30,000 foot view for research but not to measure the current state of your local market.

Tags: , , , , ,


YIMBY: Low-Income Housing

November 25, 2016 | 2:02 pm | | Infographics |

lowincomevvaluetrulianyt

The YIMBY (Yes-In-My-Backyard) movement is fairly new.

In the United States, early leaders of the YIMBY movement include Sonja Trauss in San Francisco and Nikolai Fedak in New York. The first ever Yes In My Backyard conference was held in Boulder, Colorado, in June 2016.

Nikolai has done an amazing job at chronicling the explosion of new development in NYC over the past several years with his must read web site New York YIMBY.

One of the misconceptions with the NIMBY movement which is largely the opposite of YIMBY is the idea/rule of thumb that low-income housing always drags down property values of nearby properties. In an era challenged by the lack of any type of affordable housing, this makes a bad situation worse.

According to this recent research by Trulia (FYI – I was part of their industry advisory board from 2006-2014), and notably in aggregate form, the impact seems to be non-existent in the majority of the markets covered. One can’t conclude there is no impact as a general rule but it does show that should not be the default assumption.

The above infographic is from this Weekend’s New York Times’ real estate section column called ‘Calculator’ – Low-Income Housing: Why Not in My Neighborhood?. The methodology used in the Trulia research was the following:

To measure this, Trulia compared the median price per square foot of nearby homes (within 2,000 feet of low-income housing) with that of homes farther away (2,001 to 4,000 feet) over 20 years, starting 10 years before the low-income housing was built and ending 10 years after.

Tags: , , , ,


The Relationship Between Commute Time and Housing Prices

October 28, 2016 | 3:48 pm | | Infographics |

Back in the mid 1990s after my wife and I moved to Fairfield County, Connecticut from Manhattan, I noticed the decline in housing prices further from the first express stop in Stamford, CT.

I worked on an updated version of the concept for this weekend’s New York Times Real Estate section: What’s Your Commute Time Worth? They did an amazing job on the graphic.

nytimesmetro-northcommute3q16

Tags: , , , , ,


NYT Real Estate Calculator: NYC Rents Go Graphic

October 9, 2016 | 8:49 am | | Infographics |

I’m liking the new goodies in the New York Times real estate section, especially this week, and not because the most recent market report on the Manhattan, Brooklyn and Queens rental market for Douglas Elliman was featured.  No, really.

See for yourself.

 

nytcalculator10-9-2016rents

Tags: ,