I don’t know if you have noticed but some of my recent posts and comments have been getting a little technical. I am sorry about that, I get a bit carried away sometimes.
Of course on this blog, I am not alone. Joab’s brilliant heads-up on the forthcoming changes to the treatment of leases and the impact on the financial statements is exactly the sort of thing that excites those of us who make investing a full time occupation.
In this field it’s easy to want to prove how much detail one can accumulate about a company or what one knows about valuations or credit analysis. Then of course debates and polite but pointed arguments begin about whose mousetrap is better.
Yet for most of us, it’s a storm in a tea cup, and meanwhile someone has made a million dollars quietly accumulating a few shares in the recently listed company XYZ Ltd.
In most cases there is one pearl that counts and the rest is noise. Our job is to find the pearls. Of course with so much rubbish to sift through it can be challenging to pluck up the enthusiasm to even start searching. For many investors, time is of the essence and short cuts are needed.
Well, I am here to deliver. But this not a post about buying the next hot uranium or gold explorer – tips I do receive and some I even regret missing sometimes. Today’s post is about a shortlist of A1 companies, their proximity to intrinsic value, my expected change in those intrinsic values and the associated net debt to equity ratios.
Why? It’s about getting back to basics.
Investing is simple. Not easy, but simple. Much work went into the classification process to come up with my A1, A2, C5, etc Montgomery Quality Ratings using, for example, industry specific KPI’s to ensure that future sweat was reduced.
And recently one Value.able Graduate Ken, reinforced my resolve to keep it all very simple. Ken D wrote:
Hi again Roger,
Out of curiosity, last week I constructed 2 hypothetical portfolios: 1) with your A1 stocks in equal proportion; and 2) the same with your A2 stocks. I have attached some numbers. I was impressed by the average past performance (i.e. investment performance) from both portfolios and also noted quite a difference between the A1 and A2 portfolios (attached). I doubt whether the result is fortuitous. Without asking you to outline your ranking process, I was wondering whether the strong past performance might be expected as a direct result of criteria used in the A1, A2 classification process – e.g. reference to historical earnings growth for instance, or perhaps more interestingly, a product of the inherent quality of the business as measured by current performance measures.
Ken
In answer to Ken’s question and for everyone’s benefit, remember Ben Graham’s quote about short-term voting machines and long-term weighing machine? Over longer periods of time, price follows intrinsic value and because my Value.able method of calculating intrinsic value is related to the performance of the business, one should expect price to follow performance. Over time A1 businesses should do better and a portfolio filled with just A1s purchased at big discounts to intrinsic value, should, in theory, do best.
Ken looked at all the A1s that I had mentioned on the blog and went backwards (I’ll ignore survivor bias for now) to have a look at the annual returns a portfolio of A1s would have produced.
While there is more refinement required, the early results are impressive. Over the last ten years Ken’s portfolio of 16 A1 company stocks returned 24 per cent, per annum. The same 24 per cent per annum result was produced with a portfolio of 23 stocks over five years and there were 31 A1 stocks in the last year that combined, returned 31 per cent.
Thanks for putting in the time Ken.
With all that in mind, here is my latest list of A1 companies, their proximities to intrinsic values and a few other salient stats.
What I would like to see as comments here are your thoughts or insights about any of these companies. Go right ahead and share whatever you know or think. But only about the companies in the list. Keep the comments to the topic set and we will build a useful library of insights. Just click the Leave a Comment link below.
Posted by Roger Montgomery, 3 November 2010.