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Valuing a commodity business

V

I was reading a research report on the sugar industry. The industry is a classical commodity industry with following characteristics

  • Unbranded commodity product sold on basis of price
  • Pricing depends on demand supply situation in the industry
  • Highly fragmented industry
  • Raw material (cane) pricing controlled by government and margins highly dependent on the Raw material prices


Lately the industry has been on an upswing, with demand exceeding supply and average inventories are down. As a result all the sugar companies have seen explosive profit growth (high operating leverage). Most of the sugar companies have very high debt levels ( > 2:1) and are in the process of raising equity to reduce it to manageable levels or working down the debt. At the same time as the capacity utilization is high, new capacity will have to be added through fresh equity or debt.

The industry is fairly cyclical with last few years being unprofitable for most of the companies. Lately however there is being a turnaround and most of the companies are selling at a PE of 6-7. The research report are bullish and predict a re-rating. I disagree with this analysis as it is simplistic and ignores the cyclical nature of a commodity business. Typically a cyclically business sells at a low PE at the peak of the commodity cycle and high PE at the bottom of the cycle .

I have simulated a commodity business cash flow and done a DCF analysis and the results the DCF model throws up confirms the above analysis ( the analysis can be downloaded here. The analysis has several assumption, but depicts a commodity business and shows inter-relationship between the cyclical earnings and PE).

I think the market is valuing these commodity businesses (sugar, cement) correctly and the analyst are being too optimistic in their appraisal and simplistic in their analysis. A few odd companies like balarampur chini or Ambuja cement may be different (due to a sustainable low cost position) , but the rest of the industry seems to be fairly priced

Mistakes

M

I keep checking on bruce’s blog regularly. He is a frequent poster on fool.com and writes fairly well on topics related to investing. He has a post on mistakes he has made in the past.

The following comment resonated with me a lot. I have had the same experience on my mistakes and agree completely with what he says ( once bitten twice shy ??)

Which leads to ACLN. In hindsight, I probably lost more money in missed opportunities from a loss of confidence by making a mistake in ACLN than the money I actually lost in ACLN. And I think that’s a more important lesson. It was easy to learn how to avoid another ACLN. It was much harder to avoid seeing ACLNs everywhere I looked. As someone said about Barrons (Bearons): the bearish case always looks more intelligent and more responsible.If there’s anything for certain, I’ll continue to make mistakes. If Buffett keeps making mistakes even lately, what chance do I have? I believe the answer is to apply the methodology and rely on experience and do whatever is possible to have a higher batting average.


Bruce has also added a reading list to his blog. Definitely worth noting down the recommended books.

Analysis of business – spreadsheet posted

A

I have a single consolidated spreadsheet for analyzing  industries on  various parameters such as Porter’s five forces model, demand factors, supply factors affecting the industry, competitive factors for the industry etc.

I have developed this excel for my personal use to record my observations, learnings from various sources such as articles, industry reports etc. This excel is still work in progress. I am posting this excel (in its semi-complete state) on the Blog. Please feel free to download it and have a look at it.

I would really appreciate if anyone can point errors, or add to the spreadsheet. It should help my and others understanding of various industries and hopefully make us better investors

I am posting the excel under the ‘quantitative analysis’ section.

Investment advise paradox

I

Found this good article (below) on wallstraits.com. I have wondered several times the same point – ‘if the stock tips are so good and reliable’ then why are they being given out for free or for a fee. Put it another way, all these experts on the TV channels and websites who claim to know where the market is going ..why are they letting others onto it or selling this advice for a fee. Can these ‘experts’ not getting rich by following their own advise? Replace the work expert with  broker and this paradox is even more jarring !

It is ironic that two approaches to stock market investing that would be widely accepted in the prosperous second half of the twentieth century—Graham and Dodd’s “value” investing and T. Rowe Price’s “growth” investing—were spawned within a few years of each other during the depressed 1930s. Neither Graham and Dodd nor Price anticipated the long boom that would finally get under way in the 1940s. But the analytical approaches they developed, even though profoundly colored by the searing experience of the Great Depression, proved to be very durable, providing systematic methodologies for investing that would be successfully employed under very different conditions in the future.
At the same time Benjamin Graham and David Dodd were writing Security Analysis (1934), another student of the market, Alfred Cowles, was collecting data in an effort to answer a basic question that intrigued him. Seeking sound investment advice, Cowles had become confused by the bewildering array of investment newsletters published in the 1920s. He finally decided in 1928 to conduct a test in which he would monitor 24 of the most widely circulated publications to determine which was actually the best. The results of his efforts proved quite disappointing; none of the services correctly anticipated the 1929 crash or the subsequent bear market, and most of the advice offered proved to be quite poor.
It was then Cowles asked the question that he would spend years attempting to answer: Can anyone really consistently predict stock prices? Using his inherited wealth to fund research on the subject, Cowles assembled a great deal of data and eventually reached a tentative answer to his question. Summed up in three words, the answer was “It is doubtful.”
Cowles found that only slightly more than a third of the investment newsletters he monitored had performed well and that he could not prove definitely that the results of even the best of them were attributable to anything other than luck. He also took on the proponents of the Dow theory, exhaustively examining the predictions of William Hamilton, the Wall Street Journal editor who succeeded Charles Dow. For more than 25 years, Hamilton had been publishing market prognostications based on Dow’s ideas. Hamilton died in 1929, shortly after issuing, only days before the crash, his most famous prediction: that the bull market of the 1920s had come to an end. He received a great deal of posthumous credit for his timely market call from observers who forgot that he had made similar calls in 1927 and, twice, in 1928. Cowles did not overlook the previous faux pas; his analysis concluded that although a Hamilton portfolio would have grown by a factor of 19 during Hamilton’s years as editor of the Journal (1903-1929), an investor who simply bought into the market and held his stocks over that same period would have done twice as well.
Cowles, although not a trained academic expert, compiled an impressive array of information that would be used decades later by scholars seeking to examine the same questions that had interested him. (Much of the data used in this book to compute price-earnings ratios and dividend rates for the nineteenth and early twentieth centuries comes from Cowles’s work.) Cowles founded the Cowles Center for Economic Research in Colorado Springs; the facility was moved to the University of Chicago in 1939 and would over time support the work of many Nobel Prize-winning economists. But in the 1930s, Cowles’s insights were understandably unpopular with professional investment advisors, most of whom preferred to ignore his conclusions.
What must have been most galling was a simple point Cowles often made that was never answered effectively by the investment advice practitioners. As Cowles put it, “Market advice for a fee is a paradox. Anybody who really knew just wouldn’t share his knowledge. Why should he? In five years, he could be the richest man in the world. Why pass the word on?”
In spite of the conclusions he reached, Cowles never doubted that investors would keep buying newsletters. As he put it, “Even if I did my negative surveys every five years, or others continued them when I’m gone, it wouldn’t matter. People are still going to subscribe to these services. They want to believe that somebody really knows. A world in which nobody really knows can be frightening.”  
Sage@wallstraits.com
Credits: This article is primarily extracted from B Mark Smith’s market history book, Toward Rational Exuberance, 2001.

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