More Innumeracy from Jeremy Siegel
In the Wall Street Journal, Jason Zweig criticizes Jeremy Siegel’s use of historical statistics when looking at long-term market returns. Siegel’s book “Stocks for the Long Run,” purports to tell us that stocks have returned 10% a year on average since 1802.
Well…it might not be that way.
Before inspecting the details, I’m suspicious of any study that goes back before the 1920s. The capital markets were simply not mature enough to use in such studies.
The problem Zweig highlights is how few stocks comprise the study Siegel relies on. Zweig notes that Siegel ignores 97% of stocks that were trading in that time frame—and most of those stocks he uses were blue chips. All those ignored dud stocks would certainly have lowered the 10% per year number.
Zweig also finds that Siegel raised the average dividend yield from the 1802 to 1870 period from 5% to 6.4%. That’s a huge increase and it alters the long-term results very significantly.
I’m glad to see someone else finally criticizing Siegel’s work, and Stock for the Long Run in particular. I’ve been doing this for a few years. Here’s a post I wrote in 2006 detailing Siegel’s misunderstanding of the concept of standard deviation:
Jeremy Siegel is a distinguished professor of finance at the Wharton Business School. He’s written many important articles and books on investing and finance (here’s my review of his last book, “The Future for Investors”). However, I’m afraid Dr. Siegel misunderstands a basis mathematical concept.
This is from his most-recent “The Future For Investors” column:Stock returns are composed of the sum of the average real return on safe bonds, such as U.S. government bonds, which has been about 3 percent, plus an extra risk premium that has averaged between 3 percent and 4 percent per year. This risk premium has propelled stocks above other asset classes in investor returns.
But this premium may be overly generous. Although stocks are indeed much riskier than bonds in the short run, in the long run they are safer. In fact my studies have shown that over periods 20 years or longer, a portfolio of diversified stocks has been more stable in purchasing power than a portfolio of long-term government bonds. As a result, a long-term stock investor gets rewarded for risk that basically only a short-term stock investor endures.He says that over periods of 20 years or longer, a diversified portfolio of stocks has been more stable than a portfolio of long-term bonds. The problem is, that’s not what his research indicates.
In Chapter 2 of his book, “Stocks for the Long Run,” Siegel looks at how stocks and bonds have performed over long periods. His point is that stocks are more volatile than bonds in the short-term, but over time, stocks have a very good track record of beating bonds. That’s a very important point for all investors.
But then, he makes a critical error. On page 33, he writes:As the holding period increases, the dispersion of the average annual return on both stocks and bonds falls, but it falls faster for stocks than bonds. In fact, for a 20-year holding period, the dispersion of stock returns is less than for bonds and bills, and becomes even smaller as the holding period increases.
His numbers are right, but his conclusion is wrong. By dispersion, he’s referring to standard deviation. If you recall from your high school math, standard deviation measures variation against the mean. What his data shows is that the variation of returns decreases as you have progressively longer holding periods. That’s a tautology. It must happen, but it doesn’t say anything about inherent risk.
What Siegel says is that the variation of stock returns against the mean of stock returns decreases faster than the variation of bonds returns against the mean of bond returns. (That’s a mouthful!) But at no point are we comparing stocks against bonds. It’s merely stocks against themselves and bonds against themselves. Siegel is using the wrong instrument to make his point.
Let’s say we have an asset class that has returned, on average, 10% a year for 100 years. The one-year holding periods might be very volatile. However, the two-year and three-year holding periods will become progressively less volatile. But there’s no insight here, the holding periods have to. They’ll eventually zero in on 10% a year.
Siegel compares the rate at which stocks “zero in” to the rate at which bonds “zero in.” He says that since stocks zero in on their long-term average faster than bonds zero in on theirs, stocks are safer. They may indeed be safer, but his point doesn’t support that conclusion.
By the way, it’s Siegal’s error here that led to the disastrous book Dow 36,000. Here’s my explanation.
Posted by Eddy Elfenbein on July 13th, 2009 at 12:06 pm
The information in this blog post represents my own opinions and does not contain a recommendation for any particular security or investment. I or my affiliates may hold positions or other interests in securities mentioned in the Blog, please see my Disclaimer page for my full disclaimer.
- Tweets by @EddyElfenbein
-
Archives
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- March 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- September 2014
- August 2014
- July 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- December 2012
- November 2012
- October 2012
- September 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- March 2012
- February 2012
- January 2012
- December 2011
- November 2011
- October 2011
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- February 2011
- January 2011
- December 2010
- November 2010
- October 2010
- September 2010
- August 2010
- July 2010
- June 2010
- May 2010
- April 2010
- March 2010
- February 2010
- January 2010
- December 2009
- November 2009
- October 2009
- September 2009
- August 2009
- July 2009
- June 2009
- May 2009
- April 2009
- March 2009
- February 2009
- January 2009
- December 2008
- November 2008
- October 2008
- September 2008
- August 2008
- July 2008
- June 2008
- May 2008
- April 2008
- March 2008
- February 2008
- January 2008
- December 2007
- November 2007
- October 2007
- September 2007
- August 2007
- July 2007
- June 2007
- May 2007
- April 2007
- March 2007
- February 2007
- January 2007
- December 2006
- November 2006
- October 2006
- September 2006
- August 2006
- July 2006
- June 2006
- May 2006
- April 2006
- March 2006
- February 2006
- January 2006
- December 2005
- November 2005
- October 2005
- September 2005
- August 2005
- July 2005