Is gold a good store of value?

March 29, 2017

The answer to the above question is no, but it’s a trick question. Value is subjective and therefore can’t be stored, meaning that there is no such thing as a store of value. An ounce of gold, for instance, will be valued differently by different people. It will also be valued differently by the same person in different situations. For example, you might value gold highly in your present situation, but if you were stranded alone on an island with no hope of rescue then gold would probably be almost worthless to you. Rather than asking if gold is a good store of value it is more sensible to ask if gold is a good store of purchasing power in a modern economy, but this question does not have a one-word answer. It has a “yes, but…” answer.

Gold has been a good store of purchasing power in the past, but only reliably so when the initial purchase was made at a ‘reasonable’ price and the time period in question was extremely long. What I mean is that you can’t pay a ridiculously-high amount for an ounce of gold and reasonably expect the ounce to retain its purchasing power, even if the planned holding period is several decades. I also mean that if you buy gold at a time when it is being valued at a relatively moderate level you will be at risk of suffering a loss of purchasing power unless you are prepared to hold for decades.

Now, it’s not possible to come up with a single number that reflects the economy-wide change in the purchasing power of any currency, but by considering the change in the US$ gold price over time and making some basic assumptions about the change in the US dollar’s purchasing power we can get some idea of how gold’s purchasing power has shifted. Here are some examples.

First, from its September-2011 peak to its December-2015 bottom the US$ gold price fell by about 45%. There’s no way of calculating the change in the US dollar’s purchasing power over this period (the official CPI and all unofficial CPIs are bogus), but we can be certain that the US$ lost purchasing power. We can therefore be sure that gold lost more than 45% of its purchasing power over this roughly-4-year period.

Second, from its January-1980 peak to its February-2001 bottom the US$ gold price fell by about 70%. Again, there’s no way of calculating the change in the US dollar’s purchasing power over this period, but we can be certain that the US dollar’s purchasing power was much lower in February-2001 than it was in January-1980. We can therefore identify a 21-year period during which gold lost substantially more than 70% of its purchasing power.

Third, anyone who bought gold near the January-1980 top (37 years ago) and held to the present day would still not be close to breaking even in purchasing-power terms, even though the nominal price is now about 50% higher. Moreover, it’s conceivable that buyers of gold near the top in January-1980 will never break even in purchasing-power terms, regardless of how long they hold.

Fourth, by making the same type of rough-but-realistic assumptions about changes in the US dollar’s purchasing power it can be established that there were two periods of 8-10 years over the past 5 decades when there were huge increases in gold’s purchasing power.

The point is that when gold is not money (the general medium of exchange) it tends NOT to maintain its purchasing power over what most people would consider to be a normal investment timeframe. Instead, gold’s purchasing power tends to experience massive swings. By being knowledgeable and unemotional you can take advantage of these swings. What you can’t reasonably expect to do is conserve your purchasing power by mindlessly buying gold at any price.

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The limitations of sentiment as a market timing tool

March 28, 2017

[The following discussion is a slightly-modified excerpt from a recent TSI commentary]

It’s important to state up front that despite the associated pitfalls, it can definitely be helpful to track the public’s sentiment and use it as a contrary indicator. This is because most participants in the financial markets get swept up by the general mood. They end up buying into the idea that prices are bound to go much higher despite valuations having already become unusually high or the idea that prices will continue to slide despite current valuations being unusually low. This causes them to be very optimistic near important price tops and either very pessimistic or totally disinterested near important price bottoms.

It will always be this way because 1) a major price/valuation trend can’t end until the fundamental story behind the trend has been fully embraced by ‘the public’, and 2) the public’s own buying/selling shifts the probability of success. For example, when the public gets enthusiastic about an investment its own buying pushes up the price of the investment to the point where future performance is guaranteed to be poor. Consequently, there is no chance that the investing public can ever collectively enter or exit any market at an opportune time.

There are, however, three potential pitfalls associated with using sentiment to guide buying/selling decisions.

The first is linked to the reality that sentiment generally follows price, which makes it a near certainty that the overall mood will be at an optimistic extreme when the price is near an important top and a pessimistic extreme when the price is near an important bottom. The problem is that while an important price extreme will always be associated with a sentiment extreme (extreme optimism at a price high and extreme pessimism at a price low), a sentiment extreme doesn’t necessarily imply an important price extreme. For example, if the price of an investment has been trending strongly upward for many months and is at an all-time high then sentiment indicators will almost certainly reveal great optimism even if the upward trend is still in its infancy. It is therefore dangerous to take large positions based solely on sentiment.

The second potential pitfall associated with using sentiment to guide buying/selling decisions is that what constitutes a sentiment extreme will vary over time, meaning that there are no absolute benchmarks. Of particular relevance, what constitutes dangerous optimism in a bear market will often not be a problem in a bull market and what constitutes extreme fear/pessimism in a bull market will often not signal a good buying opportunity in a bear market. In other words, context is critical when assessing sentiment. Unfortunately, the context is always a matter of opinion.

The third potential pitfall relates to the sentiment indicators that are based on surveys.

Regardless of what the surveys say, there will always be a lot of bears and a lot of bulls in any financial market. It must be this way otherwise there would be no trading and the market would cease to function. As a consequence, if a survey shows that almost all traders are bullish or that almost all traders are bearish it means that the survey has a very narrow focus. In other words, the survey must be dealing with only a small fragment of the overall market.

There is no better example of sentiment’s limitations as a market timing indicator than the US stock market’s performance over the past few years. To show what I mean I’ll use the results of the sentiment survey conducted by Investors Intelligence (II), which has the longest track record* and is probably the most accurate of the stock market sentiment surveys.

The following chart from shows the performance of the S&P500 Index (SPX) over the past 30 years with vertical red lines to indicate the weeks when the II Bull/Bear ratio was at least 3.0 (a bull/bear ratio of 3 or more suggests extreme optimism within the surveyed group).

Notice that vertical red lines coincided with most of the important price tops (the 2000 top was the big exception), but that there were plenty of times when a vertical red line (extreme optimism) did not coincide with an important price top. Notice, as well, that optimism was extreme almost continuously from Q4-2013 to mid-2015 and that following a correction the optimistic extreme had returned by late-2016.

In effect, sentiment has been consistent with a bull market top for the past 3.5 years, but there is not yet any evidence in the price action that the bull market has ended.


The bottom line is that sentiment can be a useful indicator, but it does have serious limitations. It is just one medium-sized piece of a large puzzle.

*The II sentiment data goes back to 1963

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‘Real’ Performance Comparison

March 24, 2017

Inserted below is a chart that compares the long-term inflation-adjusted (IA) performances of several markets. This chart makes some interesting points, such as:

1) Market volatility increased dramatically in the early-1970s when the current monetary system was introduced. This shows that the generally higher levels of monetary inflation and the larger variations in the rate of monetary inflation that occurred after the official link to gold was abandoned didn’t only affect nominal prices. Real prices were affected in a big way and boom-bust oscillations were hugely amplified. As an aside, economists of the Keynesian School are oblivious to the swings in relative ‘real’ prices caused by monetary inflation and the depressing effects that these policy-induced price swings have on economic progress.

2) Commodities in general (the green line on the chart) experienced much smaller performance oscillations than the two ‘monetary’ commodities (gold and silver). This is consistent with my view that there aren’t really any long-term broad-based commodity bull markets, just gold bull markets driven by monetary distortions in which most commodities end up participating. The “commodity super-cycle” has always been a fictional story.

3) Apart from the Commodity Index (GNX), the markets and indices included in the chart have taken turns in leading the real performance comparison. The chart shows that gold and the Dow Industrials Index are the current leaders with nearly-identical percentage gains since the chart’s January-1959 starting point. Note, however, that if dividends were included, that is, if total returns were considered, the Dow would currently have a significant lead.


Chart Notes:

a) I use a method of adjusting for the effects of US$ inflation that was first described in a 2010 article. This method isn’t reliable over periods of two years or less, but it should come close to reflecting reality over the long term.

b) To make it easier to compare relative performance, the January-1959 starting value of each of the markets included in the above chart was set to 100. In other words, the chart shows performance assuming that each market started at 100.

c) The monthly performance of the scaled IA silver price peaked at more than 2600 in early-1980, but for the sake of clarity the chart’s maximum Y-axis value was set to 1500. In other words, the chart doesn’t show the full extent of the early-1980 upward spike in the IA silver price.

d) The commodity index (the green line on the chart) uses CRB Index data up to 1992 and Goldman Sachs Spot Commodity Index (GNX) data thereafter.

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How falsehoods become facts

March 21, 2017

The more an invalid piece of information is quoted as if it were true, the closer it will come to being widely viewed as correct. Here are four examples that spring to mind:

1) The claim that there is a severe shortage of physical gold in Comex inventories, making a Comex default likely. This claim seemingly originated at and was ‘supported’ by a chart showing the ratio of Open Interest to Registered Gold. Even though it was never true, the Comex gold shortage story started by Zero Hedge got picked up by numerous gold-focused sites/newsletters and quickly became accepted as fact within a significant portion of the “gold community”. I debunked the story multiple times at the TSI blog, including in the May-2016 post linked HERE.

2) The claim that the “science is settled” on the matter of Anthropogenic Global Warming. This claim is ridiculous, because:

a) Many scientists dispute the theory that the most recent warming period was primarily the result of human activity.

b) The models that were constructed over the past three decades to show what would happen to the climate under different CO2 emission outcomes haven’t worked.

c) The science is NEVER settled. Instead, it is constantly evolving as new information becomes available.

Despite being ridiculous, the “science is settled” claim has been quoted so often that many people now believe it to be a fact.

3) The claim that the Russian government colluded with the Trump team and conducted operations during the 2016 US Presidential campaign to hurt Clinton, including the hacking of DNC (Democratic National Committee) emails and the leaking of these emails to WikiLeaks. I don’t know for sure that this claim is false, but it is currently not supported by any evidence (WikiLeaks has stated that the emails did not come from Russian hacking). Despite being unsubstantiated by hard evidence and quite possibly being a completely fictitious story, the supposed Russian involvement in Trump’s election victory has now been mentioned so many times that it is widely viewed as confirmed.

4) Oxfam’s statement that the eight richest men in the world, between them, have the same amount of wealth as the bottom 50% of the population combined. This statement has been cited in countless articles and is generally considered to be evidence that all is not well with the global economy, but it is claptrap. As pointed out in Felix Salmon’s article at

…if you use Oxfam’s methodology, my niece, with 50 cents in pocket money, has more wealth than the bottom 40% of the world’s population combined. As do I, and as do you, most likely, assuming your net worth is positive. You don’t need to find eight super-wealthy billionaires to arrive at a shocking wealth statistic; you can take just about anybody.

All is certainly not well with the global economy, but you can’t properly make that point using a nonsensical statistic.

In conclusion, the more that a false statement or misleading number is quoted, the closer it will come to being generally perceived as factual. If it gets quoted enough its validity will no longer even be questioned.

I wonder if there is a lot less fact-checking and healthy scepticism these days, or if it just seems that way.

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