Tuesday, March 19, 2013

Gold: Acting Accordingly


Is the bull market in gold over? That seems to be the most popular question I, and others, are asked these days. My simple answer is that gold and thus the SPDR Gold Shares (GLD) are acting accordingly. For the average investor that has been accumulating GLD over the last two years based on the return GLD provided the previous decade, I would tell them those types of returns are unrealistic to expect going forward.

Investors need to remember what fueled much of the move in gold. Many professional money managers and economist view gold as a currency. I absolutely agree with that categorization. The U.S. Dollar fell steadily throughout the last decade. The dollar’s weakness became such a hot topic that it became commonplace to hear European celebrities demand that they be paid in Euro’s for their services. Time and time again throughout the last decade Fed Chief Ben Bernanke was questioned about Fed policy in regards to the U.S. Dollar. As the dollar continued to lose value versus other currencies, Big Ben would continue to publicly state that a strong U.S. Dollar is in the best interest of our country. As the printing presses were set to maximum output the Eurozone crisis must have seemed like a gift from the Gods. As a result, the opinion of the U.S. Dollar has changed around the world. We appear to be one of the few countries that have our act together and thus demand for the greenback has increased.

Using GLD as a currency to offset a falling dollar has paid off really well. However, the data suggests that the easy money has been made, and GLD is acting accordingly with today’s economic environment. Let’s take a look at the historical performance of GLD versus UUP (the PowerShares DB US Dollar Index; an ETF that tracks the performance of the U.S. Dollar against a basket of currencies):

As of 3-18-13
5 Years
3 Years
GLD
64.03%
GLD
43.36%
UUP
0.65%
UUP
-4.93%
1 Year
6 Months
GLD
-3.86%
GLD
-9.41%
UUP
2.10%
UUP
3.95%
3 Months
GLD
-3.78%
UUP
4.02%


As you can see, GLD over the last five years has acted as a currency that trades inversely to the U.S. Dollar. The added benefit of owning gold over the last five years is that it also acts as a safe haven when the equity markets are experiencing periods of turmoil. You do not experience much more turmoil than the market collapse due to the mortgage crisis. A depressed dollar along with a plunge in equity markets and reduced gold supplies created the perfect party for gold. Today, the markets are roaring, the U.S. Dollar is rising, and with rising mining costs and ample supply, the miners can’t catch a bid. We may never see economic events align that perfectly for gold again and therefore those investors that are hoping GLD is their winning lottery ticket, may need to come up with a more realistic plan.

As an asset allocation strategist and fund manager I am glad that my position in GLD has not appreciated over the last twelve months. If it had risen in direct correlation with the equity markets, then that would defeat the purpose for me owning shares of GLD. I need an asset that will provide a hedge against a falling U.S. Dollar, and that will act as a safe haven when the equity markets fall sharply. That is exactly what GLD has done for me and without that disparity and lack of correlation between the two I would not have been able to achieve the historical returns I have enjoyed. Traders know why they are trading gold. I would suggest the average investor figure out why they own it and what it could possibly do for their portfolio.


Jon R. Orcutt is the founder of Allocation For Life, Author of The Allocation For Life Investment Newsletter, Author of "Master The Markets With Mutual Funds: A Common Sense Guide To Investing Success" and manager/creator of the AFL Models available to Allocation For Life subscribers at Folio Investing.



 

Friday, March 1, 2013

Feb '13 S&P 500, Asset Class & Sector Performance


As of the close on 02-28-13 Feb YTD
S&P 500 Index Total Return 1.36% 6.61%
Asset Class Category Average Performance
Internmediate-Term Bond 0.47% 0.13%
Domestic Large Cap Value 1.06% 6.99%
Domestic Mid Cap Value 1.40% 8.16%
Domestic Small Cap Value 1.34% 7.69%
Foreign Large Cap Value -1.84% 2.32%
Foreign Small/Mid Cap Value 0.43% 5.38%
Domestic Large Cap Growth 0.65% 5.43%
Domestic Mid Cap Growth 0.82% 7.03%
Domestic Small Cap Growth 0.96% 7.11%
Foreign Large Cap Growth -0.87% 2.62%
Diversified Emerging Markets -0.86% 0.75%
Gold & Precious Metals Equities -10.66% -17.47%
Real Estate 0.71% 3.93%
Broad Basket Commodities -4.27% -1.43%
Sector Category Average Performance
Technology 0.31% 4.34%
Consumer Discretionary 0.64% 6.67%
Financials 1.00% 7.61%
Telecommunications -0.85% 2.71%
Industrials 2.19% 7.88%
Utilities 1.49% 6.10%
Natural Resources -2.48% 1.53%
Real Estate 0.71% 3.93%
Health Care 1.25% 8.95%
Consumer Staples 1.96% 7.69%
Energy 0.03% 8.02%
Regions
Europe Stock -2.02% 2.48%
China Region -2.13% 0.66%
Japan Stock 3.16% 6.60%
Latin America -2.67% 0.98%

Jon R. Orcutt is the founder of Allocation For Life, Author of The Allocation For Life Investment Newsletter, Author of "Master The Markets With Mutual Funds: A Common Sense Guide To Investing Success" and manager/creator of the AFL Models available to Allocation For Life subscribers at Folio Investing.

 

Tuesday, February 26, 2013

March Historical Sector Analysis


Over the last twenty-five years the month of March has been a very good month to invest in stocks.  Over the last decade alone, two (2003 & 2009) historical bottoms were reached for the market after major selloffs, and each began a long-term upward trend for the stock markets.  After removing the high and low returns for statistical analysis the S&P 500 TR has achieved a mean return of 1.33% for the month of March over the last twenty-five years.  The strength and consistency continues for the twenty, fifteen and ten year time periods examined where the S&P TR has achieved mean returns of 1.57%, 2.36% and 1.34%.

The strongest sectors during the month of March for the time periods examined have been consumer discretionary stocks, natural resources, industrials and real estate equities.  Each of these sectors has   finished as top half performers versus the others sectors and the S&P 500 TR for every time period examined.  Health care stocks, utilities and telecom’s have consistently finished as bottom half performers versus the other sectors and the S&P 500 TR for every time period examined.  Unlike other months, being a bottom half performer in the month of March over the last twenty-five years has still provided a very good mean return.

Obviously the past does not predict the future.  Heading into this March fear is increasing as we edge closer to a possible sequester and new (or the same old) fears are growing in Europe.  Over the last month the VIX has jumped by 54%.  However, history has shown that in those down years, historically strong sectors have fallen at a smaller pace.

March
Consum Disc
Health Care
Energy
Financials
Consum Staples
Technology
1988
2.68%
-0.93%
5.70%
-0.70%
0.69%
-1.04%
1989
4.46%
5.35%
-0.19%
3.55%
4.44%
-0.21%
1990
4.36%
3.51%
4.14%
-0.36%
4.32%
4.59%
1991
5.70%
6.74%
12.51%
5.22%
4.89%
4.27%
1992
-1.29%
-5.25%
0.71%
-0.41%
-2.22%
-7.11%
1993
6.33%
1.97%
9.36%
4.62%
2.72%
2.48%
1994
-4.60%
-6.43%
-2.37%
-3.26%
-4.67%
-5.11%
1995
2.39%
3.78%
3.74%
0.51%
2.27%
4.60%
1996
3.33%
1.33%
2.71%
1.79%
-1.68%
-3.17%
1997
-2.52%
-7.01%
-8.37%
-5.89%
-2.61%
-6.69%
1998
5.94%
3.13%
4.54%
5.26%
3.67%
2.41%
1999
3.07%
0.78%
-4.66%
2.52%
-0.10%
10.63%
2000
9.86%
-8.58%
3.39%
13.59%
8.79%
-4.38%
2001
-5.67%
-11.07%
0.46%
-2.65%
-3.36%
-16.22%
2002
3.10%
2.18%
3.40%
5.81%
3.35%
9.43%
2003
2.54%
3.98%
2.71%
-0.71%
-0.08%
-0.53%
2004
0.07%
-0.58%
5.63%
-0.26%
0.63%
-2.23%
2005
0.02%
-1.89%
13.54%
-2.97%
-1.31%
-2.87%
2006
2.94%
-0.78%
-10.11%
1.39%
1.74%
2.45%
2007
0.95%
0.23%
-0.07%
-0.61%
2.47%
0.37%
2008
-3.79%
-3.72%
8.40%
-2.01%
2.22%
-0.61%
2009
11.85%
5.61%
-9.43%
12.59%
4.80%
11.45%
2010
8.61%
4.80%
2.47%
7.52%
5.25%
7.16%
2011
0.11%
3.15%
3.15%
-0.80%
0.91%
-0.76%
2012
4.68%
4.18%
-4.04%
4.46%
3.10%
4.44%
# of up Years
20
15
17
13
17
12
Mean
2.56%
0.38%
1.91%
1.76%
1.57%
0.79%
Standard Deviation
3.56
4.07
5.12
3.79
2.52
4.68
Trailing 10yr Mean
2.49%
1.64%
1.10%
1.12%
1.97%
1.29%
Trailing 15 yr Mean
2.93%
0.53%
1.23%
2.50%
2.05%
1.96%
Trailing 20 Yr Mean
2.39%
0.03%
1.17%
1.84%
1.33%
0.98%
March
Telecom
Nat Resources
Real Estate
Utilities
Industrials
S&P 500
1988
-0.90%
5.11%
-0.82%
-3.17%
2.16%
-3.09%
1989
4.26%
2.07%
0.02%
1.19%
2.90%
2.33%
1990
2.28%
0.49%
0.33%
0.11%
5.08%
2.65%
1991
3.64%
-1.61%
4.38%
1.50%
1.59%
2.42%
1992
-2.95%
-3.28%
-0.77%
-0.86%
-3.30%
-1.94%
1993
3.51%
5.65%
6.85%
1.72%
6.17%
2.11%
1994
-4.96%
-5.46%
-3.09%
-3.34%
-4.56%
-4.36%
1995
2.07%
5.64%
0.42%
-0.21%
5.10%
2.95%
1996
0.28%
5.44%
0.09%
-0.56%
2.64%
0.96%
1997
-5.52%
-2.52%
0.46%
-3.09%
-1.35%
-4.11%
1998
7.59%
3.56%
2.35%
7.07%
4.86%
5.12%
1999
7.83%
16.08%
-1.14%
0.02%
1.38%
4.00%
2000
-0.25%
11.92%
4.29%
5.07%
12.73%
9.78%
2001
-14.04%
-2.63%
-0.23%
-2.22%
-4.99%
-6.34%
2002
2.70%
9.21%
5.59%
6.45%
3.14%
3.76%
2003
-0.19%
-3.38%
2.18%
2.15%
0.77%
0.97%
2004
-2.11%
1.34%
5.76%
0.81%
-0.17%
-1.51%
2005
-3.56%
-1.20%
-1.62%
-0.11%
-1.31%
-1.77%
2006
3.82%
5.21%
4.86%
-1.48%
4.43%
1.24%
2007
1.44%
4.79%
-1.57%
4.29%
-0.10%
1.12%
2008
-3.57%
-2.49%
3.84%
-0.62%
0.51%
-0.43%
2009
8.43%
6.69%
4.50%
2.71%
8.04%
8.76%
2010
7.05%
5.30%
9.41%
3.26%
9.04%
6.03%
2011
0.73%
1.48%
-1.27%
0.71%
1.83%
0.04%
2012
2.03%
-4.52%
4.70%
1.03%
1.15%
3.29%
# of up Years
15
16
17
15
18
17
Mean
1.10%
2.27%
1.88%
0.81%
2.17%
1.33%
Standard Deviation
3.71
4.36
2.71
2.38
3.27
3.17
Trailing 10yr Mean
1.15%
1.38%
2.88%
1.24%
2.06%
1.34%
Trailing 15 yr Mean
1.81%
3.06%
2.60%
1.87%
2.58%
2.36%
Trailing 20 Yr Mean
1.05%
2.75%
2.23%
1.11%
2.31%
1.57%

 

25 Year
20 Year
15 Year
10 Year
1
Consum Discret
Natural Resources
Natural Resources
Real Estate
2
Nat Resources
Consum Discret
Consum Discret
Consum Discret
3
Industrials
Industrials
Real Estate
Industrials
4
Energy
Real Estate
Industrials
Consum Staples
5
Real Estate
Financials
Financials
Health Care
6
Financials
S&P 500 Index TR
S&P 500 Index TR
Natural Resources
7
Consum Staples
Consum Staples
Consum Staples
S&P  500 Index TR
8
S&P 500 Index TR
Energy
Technology
Technology
9
Telecom
Utilities
Utilities
Utilities
10
Utilities
Telecom
Telecom
Telecom
11
Technology
Technology
Energy
Financials
12
Health Care
Health Care
Health Care
Energy

 

Jon R. Orcutt is the founder of Allocation For Life, Author of The Allocation For Life Investment Newsletter, Author of "Master The Markets With Mutual Funds: A Common Sense Guide To Investing Success" and manager/creator of the AFL Models available to Allocation For Life subscribers at Folio Investing.