Active investment management’s weekly magazine for fee-based advisors

I used to believe as others do that the “proper” advance-decline (A-D) data come from the “common” stocks. After all, they are the real stocks, so they should know better what the stock market is doing. I stopped believing that once I looked at the data.

Among the supposed contaminants that ruin the purity of the composite A-D data are closed-end funds (CEFs), which own various types of bonds (e.g., municipal, high-grade corporate). These issues trade on the NYSE just as though they were regular stocks. And because they are more sensitive to interest rates than to the overall economy, some analysts look down their noses at them and believe that their inclusion ruins the overall A-D data. 

On examination of the actual data, the bond CEFs actually give a really good message about the health of the liquidity stream that affects the entire stock market. If anything, their inclusion makes the composite A-D data better. Figure 1 shows a big bearish divergence versus the S&P 500.

FIGURE 1: S&P 500 TREND VS. BOND CEF A-D LINE

Source: McClellan Financial Publications; data as of Jan. 13, 2022

Years ago, I decided to test the hypothesis that these supposed contaminants are ruining the composite A-D data and have collected extensive data. (As far as I know, I am the only analyst who goes to all of this trouble.) It takes a lot of work getting daily data on all of the NYSE stocks, figuring out which ones were bond CEFs, and then calculating advances and declines each day on all of those issues. I continue that work with the help of teammates and occasionally share the insights in our McClellan Market Report and Daily Edition.

What I found was that the messages from these data are really powerful and important. I can now make the argument that the bond CEF A-D line may actually be better than the composite A-D line, and it is certainly better than the “common only” version. (Read this for more about the problems with the “common only” version.)

I spoke about this point years ago with the late Richard Russell before he died. Russell wrote the investment newsletter Dow Theory Letters for 57 years, right up to his death in 2015. Along with the late writer Joe Granville, Russell helped introduce the world to the use of the NYSE A-D Line in 1962. Before then, almost nobody used it or followed it. But it became popular that year because Russell and Granville showed their readers that it had made a big bearish divergence ahead of a 27% decline in the DJIA in 1962. Suddenly the idea that you could use the A-D line to get a warning about a bad bear market like that was very popular.

Russell confided that the same criticism of the A-D data was offered back in the early 1960s, with critics noting that the NYSE had a bunch of utilities and insurance companies that were “interest-sensitive,” and which were presumed to mess up the message of the data. So this criticism of bond CEFs in the modern A-D data is actually an old complaint.

The message of the current divergence shown in Figure 1 is that liquidity has suddenly become a problem, and it is affecting the more liquidity-sensitive issues first. That can be a prelude to that same illiquidity coming around and biting the big-cap stocks that drive the major averages.

It has been a while since we have seen a divergence like this one. There was a small one back in August 2020, leading to just a small amount of price damage in September 2020. The market quickly recovered from that one, seen in the middle of Figure 2.

FIGURE 2: DIVERGENCES IN BOND CEF A-D LINE (2018–2022)

Source: McClellan Financial Publications; data as of Jan. 13, 2022

A lot of the time, this A-D line serves to rebut the message of a price correction by staying strong—and by telling us that whatever problems the stock market may be having, they are not liquidity problems. Investor-sentiment problems and news-related stories are easier to get over than liquidity problems.

There was also a small divergence back in September 2018, a warning of trouble that unfolded for the S&P 500 in Q4 of 2018. By the time the final price low came then, the bond CEF A-D line was making a bullish divergence. This was saying, in effect, that liquidity had been restored, so the stock market should soon get over what was bothering it.

Those were very small divergences compared to the weakness we are seeing now. If we go back to 2007, we can find another example of a big divergence between the bond CEF A-D line and the S&P 500 (Figure 3).

FIGURE 3: 2007 EXAMPLE OF SIGNIFICANT DIVERGENCE IN THE BOND CEF A-D LINE

Source: McClellan Financial Publications; data as of Jan. 13, 2022

The final price high did not come until October 2007, but the bond CEF A-D line had its peak back in May 2007. By the time the final price high came, this indicator had been screaming about big illiquidity problems. But few people other than my newsletter readers knew about that particular message.

Most who hear this message about the current divergence between the S&P 500 and the bond CEF A-D line won’t believe in it, because these bond CEFs are interest-rate-sensitive contaminants to the proper A-D data. This is actually fine with me that they don’t believe in it.

The opinions expressed in this article are those of the author and do not necessarily represent the views of Proactive Advisor Magazine. These opinions are presented for educational purposes only.

This is an edited version of an article that first appeared at McClellan Financial Publications on Jan. 13, 2022.

New this week:

 

Tom McClellan is the editor of The McClellan Market Report newsletter and its companion, Daily Edition. He started that publication in 1995 with his father Sherman McClellan, the co-creator of the McClellan Oscillator, and Tom still has the privilege of working with his father. Tom is a 1982 graduate of West Point, and served 11 years as an Army helicopter pilot before moving to his current career. Tom was named by Timer Digest as the #1 Long-Term Stock Market Timer for both 2011 and 2012. mcoscillator.com

 
Recent Posts:
LinkedIn
Share