Thoughts on using Value Line

Here’s a link to a sim I created this morning based on Value Line Performance ranks:

https://www.portfolio123.com/port_summary.jsp?portid=1122757

It’s not the be-all and end-all of anything; just fiddling around getting the feel for ways to use it in conjunction with p123 capabilities. I just want to share some general thoughts:

Many people think of VL in terms of investing in 1s or 1s and 2s. That’s certainly a valid approach (and I did OK with some screens along those lines). But don’t forget the alternative to buy-the-winners. We can also use Value Line to identify and eliminate the low end. The sim is run off a universe I created with just one rule: VLPerf<=3 (IOW, rather than chasing the top, I just look to weed out, right at the outset, the 4s and 5s).

In addition to using VL for screening rules, consider doing your own thing with rules and ranks but do them based on a universe created based on VL.

If you use VL factors, remember to use a Russell 2000 benchmark (I use the Russell 2000 ETF to capture the dividends).

I recall last week somebody posted something to the effect that if you use a reasonable liquidity filter, which he defined as $1 mill, performance of stocks well-ranked by VL only matches the Russell. Yes, that’s right. But remember what this product is: it’s the Value Line “Small and Mid Cap” Survey. Setting a liquidity filter to $1 mill wipes out about a little more than half the rank 1 2 or 3 universe (and also, more than half the entire ranked VL universe). That’s not a realistic way to use this material. When I set minimum liquidity to 300k, my VL 1 2 or 3 universe as a whole outperformed ( a little over 200 basis points per year) and with positive alpha and 1.84% annual alpha (let’s remember that in the real world, any alpha above zero is considered spectacular). What this means for R2G is something model designers will have to determine for themselves. But I can tell you individual and professional investors have done fine with these ranks with real money over many years as have institutions (although as a matter of course, the latter do not try to establish or close entire positions in one shot with one trade but do so over the course of days, weeks or sometimes months; not just with VL small stocks but with any small stocks).

Remember, too, there’s no rule that everybody must always max out on p123 automation. Many p123 users runs screen-ranking models not necessarily to trade everything but to look for ideas – looking at companies one at a time. For those who use p123 this way, combining your own p123 ideas with VL ranks can lead you to some really terrific ideas. When I look into stocks/companies produced this way, I’m finding myself much less likely to go “Eeew …how did that piece of **** make it onto the list?” We can never be completely free of stocks that pass the letter of the law but fail the spirit of the law, but it sure is helpful if we can reduce the occurrence of this sort of thing.

Anyway, be creative with this stuff and HAVE FUN!

VLPerf<=3 or VLPerf = NA in the buy rules helped one of my sims. - Jim

I have not had too much luck running sims purely based on Valueline performance ranks but I have been able to drastically improve some of the sims based on 2 of my ranking systems. I tried first by adding 10% weight to Valueline Ranks in the ranking and then by adding a buy rule of VLPerf <= 2 only. The performance difference you can see in the attached screenshots. This is a 8 stock sim for NoOTC universe with MktCap>100M & ADT>1mil. The performace difference could also have come from the Valueline buy rule limiting the purchases to Small & Mid Cap stocks. When I run the sim without the Valueline buy rule there isn’t any restriction on max market cap.



AZ,

Thanks for sharing. I have yet to really play around with Value Line. The thing you / we need to be careful of…is that if I use VLRank<=2 on the ADT>$1MM & $2 and $100MM Mkt Cap ‘All Fundamental’ Universe, the number of stocks that pass this requirement alone falls from 3136 stocks in the core liquidity universe, to 193 total stocks (as of today) that also pass the VLRank<=2. So…that may be fine. But depending on the other rules in the system, there may be some ‘funkiness’ with rule interactions leading to a very small number of qualifying stocks.

Having said that, just looking at the Russell 2000 vs. the Russell 2000 Value Line Rank<=2, seems to be some real alpha in these R2000 stocks. But, would like to try and compare that with just a couple simple screens on fundamentals and/or value and see how it compares.

At a 4 Wk. rebalance on the screener, choosing the top 2 Value Line ranks from the R2000 shows roughly 2.8%/yr alpha over the Russell 2000 ETF with dividends. The top VL Rank shows only 1.6%/yr alpha. Top 3 ranks show 0.8% alpha. These are just quick numbers from a screen. Only taking VL<=4, shows about 0.5% above index.

Some of the VL screens got killed in 2007/2008 DD. More than the index. Some seem to have struggled some since the 2009 rebound. Although coming on lately. Just a few quick impressions.

The Value Line Technical Ranks on the Same universe look terrible. Much worse than the index or a ‘random selection’ method.

VL Safety Ranks have worked the best. Some real alpha in these top stocks so far. These are all the historically accurate ranks at the time, correct?

Best,
Tom

My tests so far show better results by looking for improvement in Value Line rating than in just requiring a rating of <=2.

VL ranks are indeed point-in-time. Everything we do must be so.