How Disappointing was Last Week’s Employment Report?

No matter how you slice it, last Friday’s employment report by the Bureau of Labor Statistics was disappointing.   Nonfarm payrolls increased by 120,000 in March, as shown in the graph below, compared to consensus estimates of a 205,000 gain.  The weak report followed average monthly gains of 246,000 from December through February. 

 Monthly Nonfarm Employment Change, March 2010-March 2012

(Seasonally Adjusted)

Source:  Bureau of Labor Statistics

Although we’re disappointed with the March data, we don’t think the slowdown in job growth was as dramatic as it sounded.  There are a couple of factors at work.  For one thing, the unusually warm winter in parts of the country may have boosted job growth in prior months, in effect borrowing from future months.  The fact that weather-sensitive sectors such as mining and building construction showed some weakness in March, relative to January and February, supports that view.  In addition, there was a 37,000 drop in retail employment in March which appears largely due to specific department-store restructurings.  Stronger-than-expected retail sales in March provide some support to that view.

Although the recovery from the Great Recession remains tepid, overall economic data have improved from last summer when there were fears of a double-dip recession.  But the day when we’ll reach full employment still seems a long way off.

 

Mental biases in your March Madness brackets?

Few things are better at illustrating the mental shortcuts and irrational tendencies in decision-making than NCAA basketball tournament time.  At some point in time, while filling out your Final Four brackets or watching a game, you likely exhibited one or more of the following cognitive biases:

  • anchoring
  • availability bias
  • clustering illusion
  • focusing effect
  • herd behavior
  • knowledge bias
  • recency bias
  • overconfidence effect
  • frequency illusion
  • mere exposure effect
  • representativeness
  • hot hand fallacy
  • regret theory
  • post purchase rationalization 

Probably somewhere in these theories is the answer to your question:  “why did I make that pick?!?”  Choice-supportive bias, the tendency to remember one’s choices as better than they actually were, helps explain “I think I picked that upset.  Oops, no I didn’t” and “I almost made that pick.”

However, the concept I want to focus on today is hindsight bias, the tendency to view things that have already happened as being relatively predictable at the time those events happened (also called the “I-knew-it-all-along” effect).  In the NCAA Tournament, it manifests itself when we look back and it seems so apparent why a team advanced over another team.  It makes sense that fourth-seeded Louisville made the Final Four.  They were riddled with injuries during the regular season, but put it together to win the conference tournament in the powerhouse Big East and were playing with a lot of confidence1.  It makes sense why a mid-major team with a group of seniors beats a talented, but inexperienced team from a major conference. 

We believe it was so obvious what we should have done the last time, that we now know what to do the next time.  However, how often have these “lessons” actually led you to truly improve your brackets in each succeeding year? 

Hindsight bias not only exists during March Madness and in research studies, but also in investing.   When a conversation comes around to the financial crisis and bear market of 2008-2009, a lot more people happened to “see it coming” now than actually did in 2008.  It also leads them to have a lot more confidence that they will know when the next big crisis is coming.  And it holds true for individual stocks as well:  “how could you not know?”

In the NCAA Tournament, there are just too many variables, too many moving parts, that exist in any one game, any one tournament.   That’s one of the reasons they call it March Madness.  The same holds true in the markets.  In this world of global interdependency, there are so many things that can impact the market that cannot be predicted, that it is virtually impossible to do so with any consistency. 

Yet when we allow ourselves to be influenced by hindsight bias, we tend to think we can better know what to do the next time.  We think we’ll know when to get in and out of the market; that we’ll see the pattern; we’ll know which IPO will be the winner.  Hindsight bias can lead to overconfidence in our own abilities, but ultimately, to the detriment of our long-term financial success. 

1  Not one of ESPN’s 15 “experts” predicted Louisville to make the Final Four.  In fact, 9 of the 15 (60%) predicted No. 2 Missouri would, who ingloriously lost to No. 15 Norfolk State in its first tournament game.  Our own Jeff Malbasa however, did pick Louisville, and has a dominating lead in our office pool (I picked Missouri).

So, What Does Okun’s Law Have to Do with Monetary Policy?

In case you missed Fed Chairman Bernanke’s speech on Monday, Okun’s Law played a key role in supporting his view of the need for the Fed to continue its easy-money policy.  But what the heck is Okun’s Law and how useful is it in the current economic environment?

In short, Okun’s Law is more of a “rule of thumb” that shows the relationship between changes in economic output (or GDP) and changes in the unemployment rate.  Developed about 50 years ago by Arthur Okun, a senior economist who served on President Kennedy’s Council of Economic Advisers, Okun’s Law attempts to specify the change in economic growth needed to translate to a one percentage point drop in the unemployment rate. 

In his speech, Bernanke referred to the graph below which plots annual changes (4th quarter of one year to 4th quarter of the following year) in real GDP and the unemployment rate since 1990.  The line that best fits the data is downward sloping, indicating that greater improvements in GDP (shown on the horizontal axis) are accompanied by greater drops in the unemployment rate (on the vertical axis).   So far, so good.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

But what about the big deviations from the line in 2009 (shown by a pink triangle) and in 2011 (shown by a red rectangle)?  Bernanke described these data points as aberrations and warned that the recent rate of improvement in the employment situation is not sustainable unless we have greater economic growth.   The placement of the red rectangle indicates that real GDP grew about 1.6% from the 4th quarter of 2010 to the 4th quarter of 2011 and that the unemployment rate dropped nearly one percentage point  (from 9.6% to 8.7%) over that same period.  However, If the relationship between GDP growth and the change in unemployment had conformed to the Okun’s Law regression line (with the red rectangle higher and touching the line),  the 1.6% GDP growth would have been accompanied by a slight increase in the unemployment rate.

So how did the unemployment rate drop that much in a year of only modest economic growth?  In economics jargon, the deviation is called a “puzzle.” According to Bernanke, one of the most convincing explanations is that the 2011 aberration is the “flip side” of the 2009 aberration.  The 3 percentage point jump in the unemployment rate in 2009 was even higher than the decline in GDP would have predicted.   Employers reduced their workforces at an unusually rapid pace near the bottom of the business cycle, due partly to fears of worsening conditions and partly to constrained credit conditions.  So the 2011 aberration may represent a “catch up” from outsized job losses during and just after the recession.

Bernanke said the “catch up” period may be nearing its end and that we can’t really expect much further reduction in the unemployment rate unless the economy picks up considerably. That’s where accommodative monetary policy enters into his discussion.   The extremely low interest rates that exist today, promoted by a near-zero Fed Funds rate and massive purchases by the Fed of government debt, are intended to boost the economy by lowering the cost of borrowing.

The Fed chair, in his careful-wording style, offered a ray of hope in saying that perhaps the improvements in the labor force will boost consumer and business confidence (and translate to faster growth).  But his overall tone sounded as though he thinks the data are just as likely to indicate a continuing sluggish recovery.

Given the recent trends, I seem to be somewhat more optimistic than Chairman Bernanke.  In any case, maybe we’ll get lucky and the 2011 aberration from Okun’s Law will continue, meaning greater-than-expected declines in unemployment.

Can an Apple defy one of Newton’s laws?

In a recent blog, I opined about confirmation bias, the tendency to give more weight to information that supports your current position and downplay or ignore information that is at odds with our preconceived notion.  Nowadays, I find that bias prevalent when a conversation comes around to Apple, Inc. and its stock performance, especially as Apple surpassed Exxon as the most valuable U.S. company.  I’ve heard or read things such as “nothing can stop Apple” or “as long as they continue to put out products that are second to none, Apple will be a good investment.” 

While Apple no doubt has been a good investment for shareholders in the past and the company’s popularity with consumers continues to grow, it is important to point out “what could go wrong” to combat confirmation bias in your investment decision-making looking forward.  Overall, I’d break these risks into three categories (for Apple or any other stock you may own).

Things over which the company has little control

The list of possibilities includes things like fraud, embezzlement or other unethical behavior.  I’d also throw litigation into this category, including anti-trust regulation.  The loss of a key employee can also be impactful, either by being lured away to another company or, as in the case of Steve Jobs, due to death. 

Another example might be a significant disruption in the production process, including a natural catastrophe, foreign government influence (e.g., China) or labor market dispute.  You could argue that Apple can limit the possibility of many of these things, which is true, but the fact of the matter is they have the ability to influence their results, which leads me to my second category…

Failure to deliver on corporate performance

First, there is risk that the management team is unable to execute on its vision.  This has certainly become more of a concern with the passing of Steve Jobs, who relentlessly pursued his vision and drove corporate initiatives.  Although the management team is talented, the question remains whether they can uphold the passion for innovation and success in future product development.

Second, while the company has grown revenues at the rate of more than 33% per year over the last decade, it becomes harder and harder to maintain that level of growth.  With over $100 billion in sales in Fiscal 2011, revenues would need to grow to almost $2 trillion per year over the next ten years to maintain this level of growth.  Somewhere along the line, profit margins may begin to get squeezed in order to maintain growth.  In short, it can become a victim of its own success, which leads me to #3…

A great business does not necessarily mean a great investment

While our stock selection philosophy is based on a belief that corporate performance is a driver of stock price performance, it is also incredibly important to understand the performance a company must deliver to justify its current stock price.  If corporate performance cannot keep pace with embedded expectations, the stock is likely to underperform.  As Warren Buffett has said, “price is what you pay, value is what you get.”

Not that long ago a friend commented that in the late 1990s he started tracking a number of the stocks from Jim Collins’ book Built to Last which studied companies that had been premier institutions in their industries and widely admired while they made an imprint on the world around them.  Yet over the next decade, this basket of stocks underperformed Spero-Smith’s more diversified equity portfolio.

Now I am not an “early adopter” when it comes to technology, but I have come to appreciate Apple as one of the most innovative developers of consumer products and services in the tech sector.  And as a firm, we have weighed the incredible opportunities for future growth and continued strong corporate performance versus the risks and in our judgment, Apple still represents a good investment.  In fact, it is one of the largest holdings in most stock-based portfolios and fund-based portfolios (when you consider the underlying holdings of each manager we employ).

However, owning the stock is not without its risks.  Even though it has been a tremendous wealth creator historically, there is no guarantee that it will continue to do so.  And that is why we continue to own it as just a small part of a well diversified portfolio.  By the way, if at any point you were reading through the “what could go wrong” points and thought to yourself “yeah, but this is Apple…it won’t happen to them,” you are displaying just a little bit of that confirmation bias.

Vehicle Sales Indicate Growing Consumer Confidence

 Light vehicle sales in the U.S. have picked up notably in recent months and now are running at an annualized (and seasonally adjusted) rate of 15.1 million, the highest level in four years.  As shown in the graph, annualized sales had dropped below 10 million during the recent 2008-2009 recession, which was the lowest level since the 1982 recession.  Just prior to the recent recession, the decade ending in 2007 was a boon for the vehicle industry with annualized unit sales of nearly 17 million.

             The fact that unit sales registered a one-month jump of 6.5% in February, following a 4.6% gain in January, indicates a growing confidence among consumers, even amidst rising gasoline prices.  Auto sales are watched as an early indicator of U.S. consumer demand and a willingness to finance big-ticket purchases.   And since the average car on the road in the U.S. is a record 10.8 years old, there is still a lot of pent-up demand.  The higher price at the pump has undoubtedly contributed to a shift in purchases to smaller cars:   23% of new-car sales in February were small cars, up from 17.9% in December.