Now a Trade Partnership with Africa?

A few days ago, the United States reached agreement on the Trans-Pacific Partnership (TPP) with eleven other nations (see list in tables below). Here is how the Office of the US Trade Representative (USTR) describes the TPP on its web page:

President Obama’s trade agenda is dedicated to expanding economic opportunity for American workers, farmers, ranchers, and businesses. That’s why we are negotiating the Trans-Pacific Partnership, a 21st century trade agreement that will boost U.S. economic growth, support American jobs, and grow Made-in-America exports to some of the most dynamic and fastest growing countries in the world.

Read more

Providing Electricity to Africa by 2050

How many Africans will have access to electricity by 2050?

According to the World Bank’s latest figures, 64.6% of the population of sub-Saharan Africa lacked access to electricity in 2012, or a total of 572 million people. Across the world, 1.09 billion have no access to electricity. So, sub-Saharan Africa accounts for more than half the total.

Given the expected boom in the African population and the likely increase in access, the demand for electricity infrastructure is going to explode between now and 2050. On UN estimates (medium variant), the sub-Saharan population will jump from 886 million in 2012 to 2.1 billion in 2050. Assuming that each country’s current access rate remains the same, 381 million additional people will have access to electricity and 855 million additional people will not. Read more

Ratio of Gold to S&P 500

(Chart updated on 30 November 2015 with ratio at 0.51)

The ratio of the price of gold to the S&P 500 shows two notable extremes that are clearly visible in the log-scale chart below. The first was a reading of 6.1 in January 1980 when gold spiked up to $850 per ounce and the S&P 500 was struggling to shake off the 1970s syndrome of “death of equities”, “misery index” and “malaise”. The second was 0.19 in July 1999 and subsequent months when gold hit a multi-decade low of $252.8 while the S&P 500 soared on the wings of the Nasdaq bubble.

A more recent high of 1.5 was in September 2011 when gold reached an all-time high of $1,895. The ratio has since retreated to 0.56 today which is a level not seen since the stock market highs of 2007.

Screen Shot 2015-12-01 at 1.32.48 PM

It should be noted that the average for the ratio, since gold started trading freely in 1968, is 1.18, which means that it is now well below the average. Reversion to the mean here would mean the S&P 500 falling by half or gold doubling, or various combinations such as for example the S&P 500 falling by 35% while gold rises 35%.

There is no doubt that there is some exuberance in the stock market, but it does not necessarily follow that the ratio should quickly revert to its long-term average. After all, one may ask, why is this ratio even relevant? It is a question that is justified if you believe that gold should only reflect inflation expectations. Then it would rise or fall with inflation fears.

But in reality, there is more complexity in what drives the price of gold. Inflation numbers were similar in the 1990s and 2000s but gold fell in one decade and rose in the other. Therefore, inflation alone is not enough to explain its behavior.

What drives the price of gold will be the subject of another post. But here it is enough to say that it is driven in part by several factors which are the inverses of those that drive the S&P 500. It makes sense therefore to keep an eye on the ratio.

Portfolio 012 – Large Stocks Are Widely Mispriced

11 July 2014

Research suggests that when investors influence each other, the stock market becomes less efficient.

IMG_3845
A different perspective

Conventional theory holds that the stock market is efficient and that it does a good job pricing stocks at or close to their fair value, in particular the stocks of large widely followed companies. But could the opposite be true? Could it be that the larger and more followed companies are the less efficiently priced by the market? Could it be that their market value is chronically 20%, 30%, or 40% off from their fair value?

Here is the theory. Assume that there is a finite number of investors, say 1,000 investors, who are active in the stock market and that they each independently derive a value for each stock in the S&P 500. ‘Independently’ here means ‘without sharing thoughts with each other and without letting themselves be influenced by other sources’. Under these admittedly improbable circumstances, the resulting level of the S&P 500 would be quite close to ‘intrinsic value’. We could say that the market would be ‘efficiently’ priced.

Now assume instead that the 1,000 are not working independently but that they influence each other, sharing valuation models, qualitative opinions, price targets, etc. Under these circumstances, the level of the S&P 500 would deviate, in some cases significantly, from its intrinsic value. The market would be inefficiently priced.

This at least is the conclusion you can draw from some recent research on collective decision-making. A recent article titled When Does the Wisdom of the Crowds Turn Into the Madness of the Mob? explains it (my emphasis):

When can we expect a crowd to head us in the right direction, and when can’t we? Recently, researchers have begun to lay out a set of criteria for when to trust the masses.

Democratic decision-making works well when each individual first arrives at his or her conclusion independently. It’s the moment that people start influencing each other beforehand that a crowd can run into trouble.

Philip Ball, writing for BBC Future, describes a 2011 study in which participants were asked to venture educated guesses about a certain quantity, such as the length of the Swiss-Italian border:

“The researchers found that, as the amount of information participants were given about each others guesses increased, the range of their guesses got narrower, and the centre of this range could drift further from the true value. In other words, the groups were tending towards a consensus, to the detriment of accuracy.”

“This finding challenges a common view in management and politics that it is best to seek consensus in group decision making. What you can end up with instead is herding towards a relatively arbitrary position.”

If the research is valid, it debunks the idea that a widely followed stock is efficiently priced. It is not uncommon to hear someone say: “this company is followed by so many people that I have no edge investing in it”. The opposite is almost certainly true: the more widely followed a stock is, and the more ‘influence’ is traded between the participants, the more certain you can be that its market price is wrong, and possibly wrong by a substantial margin.

Take Apple stock for example which is followed by a large number of analysts and investors. When it comes to AAPL price targets, can we say, to paraphrase the article, that the “range of their estimates got narrower, and the center of this range has drifted further from the true value?” And are investors as a group “tending towards a consensus, to the detriment of accuracy?” Investors tend to cluster their price targets not far from the current price which is now $95. But we can theorize that Apple’s intrinsic value is not $100 or $90. It is probably much further from its current market price, say $70 or $120, or indeed much lower or higher.

Another conclusion can be drawn. When discussing their investment process, fund managers tend to put emphasis on the individual expertise of sector analysts and on their team’s collaborative discussions. In a typical model, the sector analyst will initiate an investment idea and pitch it to a fund manager or to a team who will then reach a decision on how to proceed. In this case, the sector analyst may have been influenced by his peers, by the sell-side and by other sources. And the deciding team members, while searching for a consensus, may have been influenced by each other, by the analyst, and by some willingness to defer to the analyst’s expertise.

If you believe the research described above, this is not the best approach to choosing investments for a portfolio. A better approach would be to have 5 or 10 analysts value the same stock independently, without looking at other sources. It might also be better if these analysts were generalists instead of sector specialists who may be biased in favor of their sector. Once the work is done, there is no point in having any discussions which may prove to be counterproductive. In theory, ‘discussion’ means ‘influence’ and it would result in more bad decisions. It is better to simply look at the valuations derived by these independent analysts. If the average of their price targets is way off the market price, it would be worth initiating a position.