Most analysts polled by the London Bullion Market
Association at the start of 2013 were optimistic for precious metals in 2013.
They predicted annual average prices to be higher for another year. However,
after the first half of 2013 is over, it looks rather unlikely that average
prices in this year will be above the average price of 2012.
The table below shows the spot price of the four
precious metals as well as the percentage change over the end of the previous
end of quarter and also the percentage change in the first half. The
development of gold and silver in the first quarter of 2013 could still be
interpreted as a correction after the end of the festival season, which is not
uncommon. Platinum and palladium moved higher due to the development in South Africa
and fears of supply shortage. But the second quarter had been a disaster for
all precious metals.
Based on our quantitative fair value model for gold,
we investigate whether this plunge of precious metals in Q3 could be explained
by the major fundamental factors driving the price of gold. Our model is based
on weekly data. As also financial and commodity markets show seasonal influences,
we did not use weekly, but annual percentage changes. Thus, there was no need
to include also further seasonal adjustments in the model equations. All
fundamental factors were included in the equations for the four precious
metals. These factors are the 1) the US dollar Index, 2) the price of crude oil
(WTI), 3) the S&P 500 composite index, 4) the yield on 10yr US Treasuries
and the net long position of non-commercials in the futures traded at the Comex
division of the Chicago Mercantile Exchange (CME). For the US Treasury yield,
instead of percentage changes, the absolute yoy-change in basis points had been
used. The net-long position has been divided by 1000.
Linear regression models based on time series of
financial asset or commodity prices often lead to residuals, which are serially
correlated. Therefore, the models include a first order autoregressive term for
the residuals and the parameters for the exogenous fundamental factors and the
autoregressive error term have been estimated simultaneously. The model was
first developed in 2006, and therefore, data from January 1997 until September
2006 was used in the estimation. The regression coefficients are all
significant at the 5% level and have the expected sign.
The following chart shows the development of the yoy
percentage change of the spot gold price and the estimated values. At a first
glance, the model appears to predict the development of the gold price still
quite well. However, this good fit could be the result of the autoregressive
error term, which might deviate further away from the fair value instead of
oscillating around it.
Since the end of 2012, the yoy percentage change of
gold dropped from 2.47 to -22.07% at the end of June 2013, which is a change of
24.54 percentage points. Thus, we investigated how much the five fundamental
factors contributed to the dismal performance of gold. The US dollar index firmed
on the strength of the US dollar against the Japanese Yen and thus contributed
a -0.64 percentage points. Also the drop of the net-long positions held by the
large speculators contributed with -2.15 percentage points to the negative
performance of gold. However, crude oil, the S&P 500 index and the yield on
the 10year US Treasury notes all made a positive contribution. In total, the
five fundamental factors indicated that gold should have shown a decline of the
yoy percentage change by 0.92 points to 1.55% instead of falling to -22.07%.
This already indicates there must have been a
structural change in the precious metals markets. Relationships collapsed,
which held before the financial crisis and even in the first few years after
the crisis.
One possible reason for a structural change might have
been the speech by ECB president Draghi held in July 2012 in London , where he pledged to do everything
necessary to keep the euro intact and announced what later became known as OMT.
A second reason might have been the
introduction of Abenomics in Japan
in the final quarter of 2012. Thus, the regression coefficients have been estimated
again, but based on data from July 2012 until the end of June this year. Most
of the variables or lag structures are no longer significant at the 5% level. Only
the US dollar index and the S&P 500 index remained significant factors.
However, the regression coefficient of the S&P index increased and changed
the sign from positive to negative.
Slight modifications of the lag-structure led to a
model, where the five fundamental factors are significant again. However, now
also the regression coefficient for the annual change in the 10year US Treasury
yield changed sign and magnitude. Rising yields, which had earlier been
interpreted as a sign of rising inflation rates, are no longer positive for
gold. They now lead to falling gold prices, which reflect the fear that an end
of QE would eliminate any reason for holding gold.
Crude oil was the only one of the five factors, which
made a positive contribution of 4.75 percentage points. The US dollar and the
S&P 500 index both contributed less than one percentage point to the decline.
The rise of the 10year US Treasury yield contributed -6.7 percentage points.
The fall of the net-long position held by large speculators had the strongest
negative impact on gold’s negative performance with -8.75 percentage points.
All in all, according to the adjusted and re-estimated model the five
fundamental factors contributed -12.45 percentage points to the fall of the yoy
percentage change of the gold price in the first half of 2013.
The chart above shows the development of the yoy
percentage change of the gold price and the estimate based on the adjusted
model fitted for the period from July 2012 until June 2013. It is obvious, that a good fit is only obtained
for the period from early 2012 onwards. For the time before, the fit is worse.
This clearly indicates that the structure of the gold market has changed last
year.
It is uncertain, how long the US stock market
and the US Treasury yield will have a negative impact on the development of the
gold price performance. However, even if the regression coefficients of the
adjusted model remain valid beyond the estimation period, the fundamental
factors explained only 12.45 of the 24.54 percentage point drop in the yoy gold
price change. Thus, almost half of the plunge could not be explained by the
major fundamental factors of the model. This implies that gold overshoot on the
downside. If the fundamentals don’t deteriorate further, there is some
potential for a recovery. But the sentiment in the gold market is seriously
damaged and the famous knife is still falling. Thus, it appears too early to
try catching the knife now.