Housing Market Recedes as Buyers Run for Cover

In the last ten years, it has been very difficult for buyers—especially first-time buyers to enter the Bay Area housing market.

Multiple offers drove home prices up and out of the reach of many would-be homeowners.

In the first quarter of 2022 we saw an unprecedented run up in home values, fueled primarily by buyers wishing to purchase a home before interest rate hikes made housing even more unaffordable.

But by mid-April 2022, that influx of furious demand wanned. The light switch that was flipped on by buyers reentering the market in 2012, turning into a dimmer. As interest rates began to rise, and the stock market declined, buyers started to pull back.

This has significantly cooled the superheated Real estate market in the Bay Area.

With tech companies announcing layoffs, this cool-down will result in home values receding.

This is what savvy buyers have been waiting for. Less competition means fewer multiple offers and lower purchase prices.

The biggest mistake we have seen in our over 30 years in this industry, is Buyers waiting too long to get back into the market after a period of uncertainty.

The downturn in 2007 is an example worth evaluating. The market began its decline in 2007, and essentially leveled off by 2009. Yet it took many buyers until 2012 to reenter the housing market. By then it was too late. Multiple offers became the norm and remained so until just this April. Buyers who carved their own path and bought homes in 2009-20011 came out far ahead of the pack.

Higher Interest Rates

Higher interest rates will of course affect the ability to borrow money and lower purchasing power. But as we discussed in this post, playing the field with interest rates is a fool’s game.

Interest rates are still at a 40-year average low. Buying a home now, even with higher rates than one could have obtained a year ago, protects the homeowner from future increases in rates. If they go up, the buyer has already lock in a rate, if they go down, which we suspect they will not, one could always refinance at a lower rate.

Making a Move

There are opportunities that arise in uncertain markets. Investors that remain paralyzed and want to wait until the masses renter the market giving them comfort in their buying decisions, will find themselves in company with thousands of other buyers who will all renter the market at the same time−turning the light switch of multiple offers back on.

The Answer

Finding balance is key to making smart home buying decisions. If buyers wait until the housing markets and economy reach perfect stabilization, it will be too late to take advantage of opportunities. Job stability should be the number one driving factor in a buyer’s decision to purchase a home in a slow housing market—not interest rates of where on the curve home values lie.

Drew & Christine Morgan are REALTORS/NOTARY PUBLIC in Belmont, CA. with more than 25 years of experience in helping sellers and buyers in their community. As Diamond recipients, Drew and Christine are ranked in the top 50 RE/MAX agents nationwide and the top 3 in Northern California.  They may be reached at (650) 508.1441 or emailed at info@morganhomes.com.

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The information contained in this article is educational and intended for informational purposes only. It does not constitute real estate, tax, insurance or legal advice, nor does it substitute for advice specific to your situation. Always consult an appropriate professional familiar with your scenario.

Case-Shiller Reports Measureable Home Price decline in October 2010

I was awakened from my long winter nap by the predictable sensational reporting of the latest Case-Shiller home price indices.

The latest press release by Standard and Poor’s states:

New York, December 28, 2010 – Data through October 2010, released today by Standard & Poor’s for

Home Price Indices, the leading measure of U.S. home prices, show a deceleration

in the annual growth rates in 18 of the 20 MSAs and the 10- and 20-City Composites in October

compared to what was reported for September 2010.  The 10-City Composite was up only 0.2% and the

20-City Composite fell 0.8% from their levels in October 2009. Home prices decreased in all 20 MSAs

and both Composites in October from their September levels. In October, only the 10-City Composite

and four MSAs – Los Angeles, San Diego, San Francisco and Washington DC – showed year-over-year

gains. While the composite housing prices are still above their spring 2009 lows, six markets – Atlanta,

Charlotte, Miami, Portland (OR), Seattle and Tampa – hit their lowest levels since home prices started to

Fall in 2006 and 2007, meaning that average home prices in those markets have fallen beyond the recent

lows seen in most other markets in the spring of 2009.

The index showed a decline in the Bay Area from October to September’s numbers but a year-over-year increase for the same period.

What does this mean? It means that compared to last year home values are up in the San Francisco MSA (metropolitan statistical area) which includes San Francisco down to Redwood City. It also means that the values dropped from September to October. How much? 1.9% to be exact. Not what I would call earth shattering  and I certainly wouldn’t describe it as one of our local TV stations did as “Bay Area Prices Plummet”.

Later in the evening a competing station had the headline “Bay Area Prices up”, referring to the year over year statistic.

Neither news headline tells the whole story.

The much ballyhooed double dip in fact did occur but it was much more pronounced in other parts of the country and more akin to a glitch than a dip—and likely it was caused by the cessation of government subsidies which helped to prop up home values in 2009.

 

SF MSA

Case-shiller October 2010

 

The information contained in this newsletter is educational and intended for informational purposes only. It does not constitute real estate, tax or legal advice, nor does it substitute for advice specific to your situation. Always consult an appropriate professional familiar with your scenario. 

 

Bay Area Housing Affordability Index 2010 (HAI)

 
The California Association of Realtors tracks the "HAI" which is the Home Affordability Index. Their methodology can be found here, but in a nut shell they take into consideration the median home price for a particular area, the median income, the current interest rates and mash it into an index which essentially says what percentage of the population can qualify for the median price home assuming they put 20% down and have 30% (which is conservative) income to debt ratios. The higher the index the more home people can afford to buy a home. Since there are three variables which could affect this outcome, a dramatic shift in any one could influence the affordability trend. In the case of today's market two of the three variables are in favor of home affordability-low interest rates and lower median home prices. The third-income-has impacted these number to some degree and kept the index from being even higher as wages have remained stagnate and unemployment is high.

What this means to you is if you are considering whether to buy a home in the Bay Area, unless you are concerned over your job security this is one of the best times to purchase a home in the Bay Area in decades. 

HAI

 

THE ASSUMPTIONS AND METHODOLOGY USED TO CALCULATE C.A.R.'S TRADITIONAL HOUSING AFFORDABILITY INDEX (HAI)THE ASSUMPTIONS AND METHODOLOGY USED TO CALCULATE C.A.R.'S TRADITIONAL HOUSING AFFORDABILITY INDEX (HAI)

Step 1. MEDIAN PRICE: C.A.R.'s housing affordability index is based on the median price of existing single-family homes sold from C.A.R.'s monthly existing home sales survey. Starting in 1987, this survey is based on reports of closed escrow sales from 80 Boards or more of REALTORS® and multiple listing services around the state. Prior to 1987, the survey was based on reports from 45 Boards.

Step 2. DOWNPAYMENT: It is assumed that a household can make a 20 percent downpayment on the median-priced home. Therefore, the loan amount needed to purchase a home would be 80 percent of the median home sales price.

Step 3. INTEREST RATE: Using the national average effective mortgage interest rate on all fixed and adjustable rate mortgages. This is represented by the effective composite rate for previously occupied homes, which is reported monthly by the Federal Housing Finance Board.

Step 4.The monthly payment for PRINCIPAL, INTEREST, TAXES AND INSURANCE (PITI) is computed as the sum of three parts: -Monthly mortgage payment, based on the terms of the mortgage in Steps 2 & 3. -Monthly PROPERTY TAXES are assumed to be 1 percent of the median home sales price divided by 12. -Monthly INSURANCE PAYMENTS on the house are assumed to be 0.38 percent of the median home sales price divided by 12. The results of these three calculations are added together to find the PITI or total monthly payment for a household that buys the median priced home.

Step 5. It is then assumed that the monthly PITI can be no more than 30 percent of a household's income. Thus, the monthly housing payment is divided by .3 to come up with the MINIMUM INCOME NEEDED TO QUALIFY FOR A LOAN on the median-priced home.

Step 6. Starting in 1988, data for the distribution of households by various income ranges was obtained from Claritas. INCOME DISTRIBUTION figures were developed based on the projected percent change in the annual median household income. Prior to 1988, household income utilized in the housing affordability index was based on projections by C.A.R. using the 1980 census data as a base. (I wonder who "projects" incomes-my emphasis and what criteria is used for that)

Step 7. The minimum income amount calculated in Step 5 is multiplied by 12 to determine the minimum annual income needed to qualify. This amount is compared to the income distribution of households. The percent of the households with incomes greater than or equal to the minimum income becomes the HOUSING AFFORDABILITY INDEX (HAI). NOTE: The quarterly HAI series begins in 2006, prior to that the series was monthly. The quarterly HAI for a given geographic area in a particular quarter is based upon the quarterly median price for that area as well as the quarterly income distribution for that area.