Construction Unemployment

Although the broad economy has grown steadily since the beginning of 2009, the construction sector remains mired in a state of recession. Construction employment peaked at the end of 2006 as the housing bubble began its collapse. Currently, the unemployment rate of the construction sector stands at 21.8%.

Although the broad economy has grown steadily since the beginning of 2009, the construction sector remains mired in a state of recession. Construction employment peaked at the end of 2006 as the housing bubble began its collapse. Currently, the unemployment rate of the construction sector stands at 21.8%. This is primarily contingent upon the fact that residential construction is at its lowest annual rate since records began in 1959. Unfortunately for the construction sector, there is little indication that residential construction will pick up in the short term. The National Association of Realtors is forecasting that new housing starts will slowly increase from its current annual pace of approximately 500,000 to 900,000 in the second quarter of 2012, which is substantially less than the historical annual average of 1,500,000.

At the current sales pace of existing homes, there is 8.6 months of supply on the market. Most industry analysts consider 6 months a healthy supply of homes. When taking into consideration the shadow inventory of homes (homes in the early stages of foreclosure process not currently listed) the condition is much worse. Additionally, approximately 40% of sales in the past month were either foreclosures or short sales which drive down the median price of existing home and make new homes (new construction) look less attractive from a price point. The road to recovery in the construction sector will be a slow one, but at least there has been some stabilization in the number of construction jobs (5,500,000) since the midpoint of 2010.

Federal Reserve Stock Valuation Model

As investors raise questions surrounding the prospects of both stocks and bonds as we head into the Summer, a useful exercise can be looking at the historical valuation of the two asset classes in relation to one another. A variation of Dr. Ed Yardeni’s Fed’s Stock Valuation Model can be used as a simplistic gauge of the relative valuation between the two asset classes.

As investors raise questions surrounding the prospects of both stocks and bonds as we head into the Summer, a useful exercise can be looking at the historical valuation of the two asset classes in relation to one another. A variation of Dr. Ed Yardeni’s Fed’s Stock Valuation Model can be used as a simplistic gauge of the relative valuation between the two asset classes. Working under the premise that investors must choose to allocate a limited amount of capital between stocks and bonds, the model subtracts the yield to maturity of the 10-Year U.S. Treasury Note from the earnings yield on the S&P 500 Index to develop a spread between the two.

For much of the 1990’s the spread was negative, suggesting that stocks were expensive relative to bonds. Following the burst of the tech bubble that proved stocks were in fact overvalued, the spread turned positive and has remained so ever since. It is thought that when the spread is positive stocks represent a better investment than bonds due to the higher yield. This is not necessarily the case, in an absolute sense, as one must take into account the additional risk equity investors bear. The reasoning that because stocks are inexpensive relative to bonds does not necessarily suggest that stocks are about to experience a period of positive returns. Keeping in mind that this model represents a relative valuation spread between the two assets classes, a positive spread could suggest that both assets classes are overvalued in relation to other investments – stocks just less so than bonds. Thus, while the model cannot pinpoint the overall outlook for either asset class, trends in the magnitude and direction of the spread have proven useful in the past when predicting the relative movement of stocks and bonds.

Charge-Off and Delinquency Rates for Banks

The Fed recently completed its latest stress tests on banks. Based on the results, many banks were given the green light to increase dividend payouts as well as announce share buybacks. With this in mind, our chart of the week looks at the charge off rates and delinquency rates of loans at all commercial banks.

The Fed recently completed its latest stress tests on banks. Based on the results, many banks were given the green light to increase dividend payouts as well as announce share buybacks. With this in mind, our chart of the week looks at the charge off rates and delinquency rates of loans at all commercial banks.

The Federal Reserve calculates these rates based on quarterly reports by all banks. The charge-off rate is defined as the flow of a bank’s net charge-offs during the quarter divided by the average level of loans outstanding. The delinquency rate is the ratio of the dollar amount of a bank’s delinquent loans to the dollar amount of total loans. Loans include real estate, agricultural, commercial & industrial, and consumer.

Prior to the official start of the recession, in the 2nd of quarter 2006, both rates began to increase, serving as a sign of things to come. In 2008, with the financial industry in danger of collapsing, the Fed stepped in and imposed tight restrictions on banks which led to dividends being slashed or all together eliminated. As banks struggled through the crisis, charge-off and delinquency rates climbed through 2009. During the official recession period between the 4th quarter of 2007 and 2nd quarter of 2009, the charge off rate increased by 255% and the delinquency rate increased by 160%. Perhaps as a sign that lending standards have improved and the economy has strengthened, both rates began to fall in 2010 and have been on a consistent decline the last four quarters. However, both rates are still well above pre-recession levels and undoubtedly haunted by continued high unemployment and a struggling housing market.

Nikkei Two-Day Price Change

Over Monday and Tuesday of this week the Nikkei 225 (major Japanese stock market index) fell 16.1% – dropping from 10,254.43 on March 13th to close at 8,605.15 on Tuesday.

Over Monday and Tuesday of this week the Nikkei 225 (major Japanese stock market index) fell 16.1% – dropping from 10,254.43 on March 13th to close at 8,605.15 on Tuesday. As this chart shows, this is the worst two-day drop for the Japanese market since the 1987 stock market crash and worse than any two-day period during the financial crisis, or during the deflating of the Japanese stock market bubble in the early 1990’s. This chart also shows that periods of extreme stock market performance in one direction are often followed by large stock market performance in the opposite direction. While the devastation in Japan is shocking and the future uncertain, if history is any guide a substantial rebound in the Japanese market over the next week would not be surprising.

Labor Costs and Inflation

This week’s Chart of the Week shows the percentage changes in the Consumer Price Index and Unit Labor Costs (the average cost of labor per unit of output) since 1950.

With the recent surge in commodity prices and inflationary pressures beginning to take hold in many emerging market countries, inflation has once again become a major topic of discussion in the United States. This week’s Chart of the Week shows the percentage changes in the Consumer Price Index and Unit Labor Costs since 1950. As the chart illustrates, over the past 60 years, there has been a very strong correlation of 0.825 between changes in labor costs and changes in inflation (a correlation of 0 indicates there is no correlation and a correlation of 1 indicates a perfect correlation).

Given the strong correlation between labor costs and inflation, it makes sense to look at current labor market conditions to get a more accurate picture of the inflationary pressures currently affecting the United States. The U.S. currently has an unemployment rate of 8.9% and an underemployment rate of 15.9% (the underemployment consists of the unemployment rate plus individuals working part time who would prefer full time employment and individuals who are not working or actively seeking a job but would want to have a job.) In addition, capacity utilization is currently 76.1%, which is well below its historic average of 80%, and worker productivity, which increased at a rate of 2.6% in the fourth quarter of 2010, has been steadily increasing over the past several years. The amount of slack currently built up in the labor market makes it very unlikely that the U.S. will see significant upward pressure on labor costs in the near term. This makes it unlikely that the U.S. will see significant upward pressure on inflation in the near term.

U.S. Peak Employment

This week’s chart examines the peak employment level (total number of people working in the U.S. labor force), along with the time taken to return to that peak level after a recession.

The unemployment situation in the U.S. has been a major concern for economists when considering an economic recovery from the “Great Recession”. This week’s chart examines the peak employment level (total number of people working in the U.S. labor force), along with the time taken to return to that peak level after a recession. The chart looks at peak employment in percentage terms, so 100% indicates the U.S. is at a peak employment level, while anything below 100% indicates the employment level is lower than the previous peak employment.

The U.S. hit a peak employment level in November 2007, and has yet to make much progress towards reaching that peak again. Since 1948, this is the longest time period the peak employment level has remained under its previous high after a recession. Growth in the U.S. labor force (total number of people working or seeking work) has leveled off over the last few years while more than 1.7 million civilians have dropped out of the labor force since mid-2008. The nearly 14 million unemployed people that remain in the labor force average nearly 37 weeks of being unemployed.

Several economists, including those that authored a working paper at the San Francisco Fed, have noted that the natural unemployment rate, long considered to be 5%, may have increased over the last several years to stand as high as 6.9% today. After examining variables such as labor market skill mismatches, extended unemployment benefits and growth in productivity, these studies have concluded that the increase in the natural rate of unemployment is most likely temporary, though may last for several years.

Divergent Sources of Inflation

As commodity prices around the globe continue their steady march upward, convention would suggest that inflation in the U.S. isn’t far behind. However, as many developing nations have already felt the sting of rising costs, inflation in the U.S. remains largely absent.

As commodity prices around the globe continue their steady march upward, convention would suggest that inflation in the U.S. isn’t far behind. However, as many developing nations have already felt the sting of rising costs, inflation in the U.S. remains largely absent. Headline CPI rose only 1.6% in December over the previous year despite surging costs for oil, gold, cotton and many other commodities.

The cause for the divergence is a split between the pace of increases in the prices of goods and those for services. Producers, largely unable to absorb further increases in input costs, have begun to signal to consumers that price increases are inevitable. Thus the red line on the graph, which represents the cost of goods, has recently risen and is above its long term average, therefore adding inflationary pressure to the economy. Goods included in this metric include commodities and non-durables, less food and beverages. Meanwhile, the costs for many services (such as rent, electricity, and medical care) in the U.S. have grown at a much slower pace since the beginning of the crisis as high unemployment has stifled wage growth. The cost of services is shown by the blue line on the graph; the most recent values sit well below the long term average, therefore lessening inflationary pressure on the economy. At the end of January, inflation for goods registered an increase of 2.2% over the previous year while prices for services only advanced 1.2%. On average over the past 20 years, prices for services have grown 1.75 times faster than those for goods, but cheap labor from developing nations has kept prices for goods in check. So while rising commodity prices can be a driver of inflation here in the U.S., it will likely take acceleration in the prices of services before headline inflation can take off.

Global GDP Comparison

This week’s chart shows the relative economic size (measured as a percentage of U.S. GDP) of the top nine countries during each time period compared to the U.S. economy.

This week’s chart shows the relative economic size (measured as a percentage of U.S. GDP) of the top nine countries during each time period compared to the U.S. economy. Back in 1980, the economic giants of the world were Japan and developed Europe, with only two emerging nations near the top (China and Argentina). Moving ahead 30 years to 2010, China surpassed Japan as the second largest economy in the world, and a few more emerging nations (India and Brazil) are now considered two of the largest economies. Japan and the European nations lost relative economic size to the United States from 1980-2010, while Canada remains the same relative size. Projecting out to 2020, China jumps off the chart, with GDP equal to 99% of the U.S economic output. Japan and the developed European nations are estimated to lose more relative size to the United States while more emerging nations will be considered among the largest economies, most especially Russia and Korea. Clearly, the unprecedented growth in emerging economies is a trend expected to continue through the next decade.

Cumulative Outperformance of SMB and HML

This week’s charts show the cumulative outperformance of the two Fama-French Factors, SMB and HML.

This week’s charts show the cumulative outperformance of the two Fama-French Factors, SMB and HML. SMB stands for small minus big, and is the excess performance of small market cap stocks minus large market stocks controlling for value. HML stands for high minus low, and is the excess performance of high book to market stocks minus low book to market stocks controlling for size. Graphs are shown on a log scale to highlight relative change. A change in relative size on a log scale chart is the same visual distance, which enables the viewer to more easily compare different fluctuations over time. For example, on an absolute scale graph, a price change from 50 to 100 appears much smaller than a price change from 100 to 200, even though both represent a doubling in price. On a log scale graph, these two changes appear the same.

As shown on the graphs there have historically been excess returns to small stocks and value stocks over the long term. While the volatility of both of these factors has been high (11.53 for SMB and 12.41 for HML), the value factor has earned a much higher premium over time than the size factor. This has led to long periods during which small cap stocks underperform large cap stocks, as highlighted on the graph.

While it is impossible to say given the data here, it is certainly plausible that there are business cycles that are more or less favorable to small companies compared to large companies. In fact, some academic research suggests small companies are more susceptible to shocks in profitability, which explains some of their underperformance starting in the mid 80’s. See Hou and van Dijk (2010) for more details.

The takeaway for investors is that while small caps may outperform over the long term (30 years or more), there can be extended periods during which they underperform large cap stocks. Small caps have certainly been a good bet over the past decade, but their strong performance versus large caps may or may not continue for the next.

Dow Breaks 12,000 for First Time Since 2008

On Tuesday, February 1, the Dow Jones Industrial Average (“Dow”) closed above 12,000 for the first time in two and a half years; the index was last above 12,000 on June 19, 2008.

On Tuesday, February 1, the Dow Jones Industrial Average (“Dow”) closed above 12,000 for the first time in two and a half years; the index was last above 12,000 on June 19, 2008. The Dow then dropped 46%, bottoming at 6,547 on March 9, 2009. With Tuesday’s close above 12,000, the index has risen 184% from its bottom, clearly rewarding investors who rebalanced into equities when the market was falling. Although the market has not reached its high water mark of 14,165 (achieved on June 9, 2007), hitting 12,000 was seen as another positive trend in the recovery process.