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Bob Cliff

Alton Park RE Trends: Credit Scores

12-07-08
Bob Cliff

What is a FICO score?

FICO stands for Fair Isaac Corporation, a company that created the most used credit scoring model in the United States. An individual's credit score is calculated through a statistical algorithm and is used as a factor in determining the likelihood of a borrower defaulting on a loan. FICO scores are generally used for obtaining mortgages, car loans or consumer credit. The scores are provided from the three major credit reporting agencies: Equifax, Experian and Transunion. Typically, there is a variance amongst the scores since each agency has a slightly different scoring formula. FICO scores range from 300 - 850, with higher scores being considered less risky. For mortgage lending purposes, any score over a 680 is considered good and above a 750 is considered excellent. Any score below 580 is considered great risk and will be challenging for such a borrower to secure financing.

The factors that contribute to a FICO score and the weighted percentages for each are as follows:

  • 35% - timeliness of payments (adverse dings to scores for any payment greater than 30 days later, collections, past due accounts)
  • 30% - the ratio of used debt to allowable debt for consumer credit (an individual that maxes out their credit cards will see a decrease in their score)
  • 15% - length of credit history (the more credit history and showing proof of consistent timely payment, the better the score)
  • 10% - types of credit used (installment, revolving, mortgage)
  • 10% - recent credit inquiries and recent new credit (taking out a fair amount of new credit with multiple credit inquires can adversely impact a score)

Alton Park RE Trends: Update for Q3

12-07-08
Bob Cliff

TOPIC: Improving conditions in Denver's market



There are some signs of strengthening in our Denver market. The metro area's inventory of available resale housing decreased 20% to 23,120 units in October from October 2007. Some of this reduced inventory is attributed to homeowners taking their properties off the market in frustration because their property is not selling, but lower inventory implies a strengthening market. Remember, the Denver area had housing inventory of 31,989 units in July 2006. Home sales rose 14% to 4,265 in September compared to the same month last year. This is due almost entirely to the lower-end of the market (under $180K) selling like hotcakes. October's median selling price for single-family homes decreased 12% to $206,000 from the same month of '07, and was down 4.7% from September's median of $216,150. Median selling price for single-family homes dropped 10.5% to $222,000 through October, from $248,000 through October '07.Prices are still falling, but at a slowing pace. This trend should continue into 2009 when it is expected to bottom out and slowly climb back. Hang on, it's gonna continue to be a wild ride!

Denver, Colorado (Including Alton Park) 3Q 2008 Condo Price Performance

10-20-08
Bob Cliff




The big message has not changed since last quarter - it's still a great time to be a buyer in the condo market. Prices are at a three year low in many areas, and interest rates on mortgages are still historically low.

The average condo price in Metro Denver declined 4% between 2006 and 2007: from $187K to $180K. Homes dropped 3% in that time period. Looking just at the first nine months of 2008 vs. the same time period in 2007, the price dropped 6%: from $181K to $172K. Homes dropped 11% in that time period. From their peak prices in 2006, condos have dropped around 9.5% while homes have dropped 12%. These numbers will be slightly different than Metrolist, as they are just Denver Metro and don't include outlying areas like Fort Collins, Colorado Springs, or Boulder.

Some areas did better than others. The attached chart shows different neighborhoods in our region. Each region has the neighborhood's name and the percentage of sales in the last twelve months that were either short sales or bank-owned properties. The second line has the price change the twelve months from October 2007 to September 2008 vs. the twelve months immediately preceding. Next, you'll see the average condo price in the last twelve months and the average days on market (DOM) in the last twelve months. There had to be at least twenty sales in the last year for an area to be included. The numbers are more reliable in areas where there were more sales.

Last quarter, we reported that days on market (DOM) had been declining for condos, which should be a leading indicator that we are due for price increases soon. That still seems to be the case.

The truth about Alton Parks home inventory

10-20-08
Bob Cliff





If you have not heard already, the inventory of home on the market in Denver has been declining. This is not true in many regions of the county. Your clients, who often only see national headlines, might not be aware of this favorable news. Our market has some unusual factors at work. Let's explore them, so you can better help your clients.

If you look at the first chart (MOI 1), you'll see the MOI (months of inventory) for Denver's suburbs on the bottom axis and the average sales price in that suburb on the axis on the left side. Denver metro currently has about six months of inventory (a balanced market, on average), but you can see there is a lot of variety from one city to the next. Lower cost areas, such as Thornton, are seeing inventory move fast. Sellers (mainly banks) don't have to wait long for offers. Thornton's average price in the last year was around $250,000 and the average MOI was about 3 months. Greenwood Village, on the other end of the scale, had about 13 MOI and an average price of about $1.4 million. Sellers are suffering there. The city of Denver is about in the middle.

If you look at the second chart (MOI 2), you'll see the MOI information sorted by the price of the home. In some cases, this might be more useful when you meet with clients. The city of Denver, for example, has many neighborhoods with homes under $100,000, and they are selling fast. On the other hand, upscale neighborhoods like Cherry Creek and Hilltop have significant levels of inventory and it's taking a long time to get homes sold, especially over the $1 million price barrier.

The left part of the chart show what percent of the active listings are REO (in red) and which are regular sellers (in green). For homes priced between $0 and $100K, regular (e.g.,, non-bank) sellers are 17% of the active inventory, but only 12% of the sales in the last twelve months. You can see on the left that since they are not getting their "fair share" of the sales, the MOI for the regular sellers under $100K is 2.7 months. For REO under $100K, it's a blazing 1.9 months. This probably isn't a surprise to any Realtor that has written an offer for a low priced REO and the listing agent has told them their buyer is competing with ten other offers. It's a strong seller's market at this price point!

Compare the homes from $480K to $1MM. Here, MOI is around 14 months - a very slow market. Your seller's experience with marketing time depends greatly on their price. I hope this information will help you demystify our market for your clients.

Denver, Colorado (Including Alton Park) 3Q 2008 Home Price Performance

10-20-08
Bob Cliff




The average home price in Metro Denver increased +2% in the full year 2005 to the full year 2006. Comparing 2006 to 2007, the average home price across the metro dropped 3%, to $303,000. The average price in the first three quarters of 2008 was $272,000 vs. similar period of 2007 was $308,000: an 11% decrease. These numbers will be slightly different than Metrolist, as they are just Denver Metro and don't include outlying areas like Colorado Springs or Boulder.

Much of the decline is a mix issue. For example, sales volume of homes over 4,000 square feet has plummeted in the last twelve months. Middle-market homes have generally been steady in their sales volume. Very inexpensive homes under 1,000 square feet have greatly increased their sales volume. You can explain it to your clients like this: Imagine you own a car dealership and you sell Chevys and Cadillacs. If you sold 50 of each type of car last month, but then you sold 75 Chevys and 25 Cadillacs this month, the average price at your dealership would have dropped quite a bit. This would be true even if you didn't change the price of the cars. This is what we mean by a mix of what is sold issue.

Our guess is that the buyers of the 4,000 square foot homes are sitting on the sidelines since very few people really need that much space - it is a decision that can be postponed. They are probably waiting for the bad news in the headlines to blow over and for the rates on jumbo loans to return to more reasonable levels. While they wait, the investors are snapping up bargain REO properties to use as rentals.

This market behavior is likely to continue for at least another nine to eighteen months. However, once the REO volume starts to decline a little, and the jumbo rates come down, we'll see a reversal to the mix problem. Suddenly, the pent-up demand at the high end of the market will be unleashed, and we'll finally start to run out of bargain basement REO homes. Using the car dealer analogy, we'll be selling 25 Chevys and 75 Cadillacs each month. You can guess what will happen to the average prices - in some neighborhoods they will increase as fast as they have dropped in the last few years.

The attached chart shows different neighborhoods in our region. Each region has the neighborhood's name and the percentage of sales in the last twelve months that were either short sales or bank-owned properties. The second line has the price change the twelve months from October 2007 to September 2008 vs. the twelve months immediately preceding. Next, you'll see the average home price in the last twelve months and the average days on market (DOM) in the last twelve months. There had to be at least twenty sales in the last year for an area to be included. The numbers are more reliable in areas where there were more sales.



Source: Your Castle Real Estate analysis, MLS data