War of the (Gold) Worlds
Part II
Abstract:
In my previous War of the (Gold) Worlds article I presented a
method for constructing three hypothetical price series from observed
Gold prices. Each of the series reflect how the cash Gold price would
have evolved if trading were always isolated to only one fixed
intraday time period during the 24 hour trading day.
The method for calculating the hypothetical price series holds
together fine. However, one of the cash Gold prices I used as an input to
the calculations of the series was in error. I mistakenly assumed that
10 times the closing price of the SPDR Gold Trust ETF was a reasonable
estimate for cash Gold prices when the NYSE closes. This article presents
calculations of the hypothetical series where a more accurate method is
used for estimating cash Gold prices when the NYSE closes.
The objective of these articles is to determine if there is any
quantitative evidence that supports the perception that selling forces in
the international Gold bullion trade have a greater tendency to appear
on a regular basis during certain times of the 24 hour trading day. An
examination of the corrected hypothetical price series suggests that
there are indeed time periods of the day that sometimes do have a tendency
towards buying and others that sometimes have a tendency towards selling.
Some observant readers of my previous War of the (Gold) Worlds
article pointed out that one of my key assumptions was largely incorrect,
(see reference [1]). I assumed that 10 times the
closing price of the SPDR Gold Trust ETF was a reasonable estimate for
the prevailing cash price of Gold when the NYSE closes. (Formerly called
the StreetTracks Gold Trust and herein referred to as GLD for brevity).
While this was a good assumption when GLD first started trading in
November 2004, the quantity 10 times GLD presently under estimates
cash Gold prices by a significant amount in percentage units. I'll go
into more detail in a moment, but the brief explanation for this
is because the number of ounces of Gold per share of GLD has slowly
decayed over time from its initial value of 1/10 ounce per share. There
is nothing nefarious here. A recent GLD prospectus clearly states;
"The Trust does not generate any income and as the Trust regularly sells
gold to pay for its ongoing expenses, the amount of gold represented by
each share has gradually declined over time."
This oversight introduced a serious error into the returns for sessions
one and three that started small and gradually became worse as time
passed. As a result, the hypothetical price series I presented for
sessions one and three were wrong and should be ignored. (The series I
presented for session two, or the "London" session were not influenced
by this error and require no corrections of any kind).
The good news is that there is a straight forward fix for this problem.
There is a variety of detailed data relating to the financial status of
the ETF available from the SPDR Gold Trust website. There are two bits
of information provided there that make it easy to get what I wanted
all along; a sampling of the prevailing cash price of Gold when the
NYSE closes. The resulting estimate is perhaps not perfect, but it is
a pretty good one.
A handful of readers got the impression I was trying to belittle or
otherwise berate the GLD ETF. The only motivation for using GLD closing
prices in my analysis was that it appeared to be an easy way to get
(estimates of) historical prices of cash Gold sampled at the time of
day when the NYSE closes. In the course of researching how the ETF
operates, I can say that SPDR Gold Shares does a good job of providing
detailed financial records and in a timely fashion. I did not see any
evidence that GLD operates in a manner contrary to that represented by
the fund management.
In this section I will provide the details of how some of the data
available from the SPDR Gold Trust website can be used to calculate a
good estimate of the prevailing cash price of Gold when the NYSE
closes. If you don't care about these details you can just skip to the
following section to see a plot of the corrected hypothetical time series
for all three sessions.
The data that I used can be found on the "Historical Archive" page of
the SPDR Gold Trust website, (see reference [2]).
Recent data is displayed in tabular form and a
complete historical record can also be downloaded in comma separated
values format. When referring to any of this data I use the same
terminology as used by the SPDR Gold Trust website to avoid any confusion.
The quantity of Gold that each share represents on any given day can be
determined from the values of "NAV per GLD in Gold" that is reported
in units of percent of 1/10 ounce. For example; the value reported on
14 November, 2008 was 98.42574% which translates to 0.09842574 ounces
of Gold per share (their choice of units basically saves the
printing of some extra leading zeros).
The other bit of information one needs is what is termed the "Indicative
Price of GLD" which is labeled as being sampled at 4:00 PM New York
time. Although it is not explicitly spelled out, this appears to be
the amount of Gold per share valued at the prevailing price from the
cash market. This should not be confused with the closing market price
of GLD that I used in the previous article. (The closing price of GLD
is also reported there and an inspection of the values make it clear
that these are two entirely different quantities). I did not
use the closing prices of GLD in this analysis.
To get an estimate of cash Gold prices at the NYSE close I simply
divided the "Indicative Price of GLD" by the calculated quantity of
Gold that each share represents on that day. I should point out that
there are other ways to arrive at the desired estimate as the website
provides quite a variety of historical data. Table 1 below presents
the calculation of the 5 most recent estimates from the data.
| Date | NAV % | OZ/Share | Ind Price | NY EST |
| 2008-11-10 | 98.43138 | 0.09843138 | 73.48 | 746.5404 |
| 2008-11-11 | 98.42907 | 0.09842907 | 72.17 | 733.2488 |
| 2008-11-12 | 98.42738 | 0.09842738 | 70.06 | 711.7430 |
| 2008-11-13 | 98.42607 | 0.09842607 | 72.73 | 738.9404 |
| 2008-11-14 | 98.42574 | 0.09842574 | 73.06 | 742.2449 |
Table 1. Example calculation of estimated cash Gold prices at the NYSE close.
As I noted above, this estimate may not be perfect. While certainly
better than the quantity 10*GLD there is a small issue I noticed that
should be mentioned for completeness. This issue might be considered
minutia for some, they can skip to the next section.
The SPDR Gold Shares website does not spell out
the time of day associated with the reported values of "NAV per GLD in
Gold", (nor could I find clarification in any of the other documents
they make available). It is possible the the values they report for the
"Indicative Price of GLD" are based on a value of "NAV per GLD in Gold"
that corresponds to a slightly different time of day. Even if this is
the case the errors introduced should be fairly small.
An inspection of Table 1 above shows that the change in "NAV per GLD in
Gold" from day to day is quite small, so any intraday change will be
even less. The error introduced into the estimate of cash Gold should
be less than the error introduced from intentionally using a value of "NAV
per GLD in Gold" from the day before or the day after the one of interest.
For each day I calculated a reference price estimate using values of "NAV
per GLD in Gold" from the day of interest. I also calculated estimates
using "NAV per GLD in Gold" values from the day before and the day after.
The differences in these price estimates for any given day relative to
the reference were generally less than +/- 0.01 US$ with a very small
number exhibiting differences of up to +/- 0.05 US$. Errors of this
magnitude are tolerable for the purposes of this article.
In this section I will present the hypothetical price series using the
corrected estimates for cash Gold when the NYSE closes. The procedure
for calculating the hypothetical series themselves from observed prices
is explained in detail in my previous article and does not require any
corrections, (see reference [1]).
Even those readers that are familiar with my original article may not
recall the details of how I partitioned each 24 hour trading day into
three non-overlapping trading sessions. For the benefit of all readers,
here is a review of the precise definitions of the three trading sessions.
- Session One
- Session one is the beginning of my trading day and starts when the
New York Stock Exchange closes for business (4:00 PM New York time),
and ends when the next London AM Gold fix is reported. I also refer
to this as the "Asian" session.
- Session Two
- This session begins when the London AM Gold fix is reported and ends with
the reporting of the London PM Gold fix. I also refer to this as the
"London" session.
- Session Three
- This session winds up my trading day and starts with the London PM
Gold fix and ends when the New York Stock exchange closes (4:00 PM New
York time). I also refer to this as the "New York" session.
The corrected hypothetical prices series are shown below in Figure 1.
As before, I started the calculation of all of the series on Monday 29
November, 2004 which is a few days after the SPDR Gold Trust ETF first
began trading on the NYSE. Unfortunately, it is not possible to choose
starting dates that go back in time before the ETF began trading. The
calculations used data up to and including that for Friday 14 November, 2008 so
the chart covers a duration just shy of four years.
Figure 1. Hypothetical price series for the three hypothetical trading sessions and the estimated price for cash Gold when the NYSE closes.
Logarithmic scaling of the price axis is used so that equal percentage moves correspond to the same vertical distance anywhere on the chart.
In the absence of the errors introduced by using a bad estimate for the
Gold price when the NYSE closes, the hypothetical prices series exhibit
more believable numbers. A few comments are in order for each of the
price series.
For session one, or the "Asian" session, the hypothetical prices actually
declined a little bit from the start into August 2005. From there it
exhibits a fairly steady rise that lasted until March 2008. Since that
time the prices have been quite volatile, (as they are for each of the
three series) and have declined a bit. Over the entire duration
covered, this trading session has contributed an upward influence on
prices after all the day to day fluctuations are netted out.
For session two, or the "London" session, the ending price of the
hypothetical series is 306.66 US$ which is certainly less than the
starting value. One can conclude from this observation that this
session has introduced a net downward influence on Gold prices during the
period covered. While it is a little difficult to see because of the
differences in the scaling of the price axis, this series is identical
to that presented in my previous article.
The results for session three, or the "New York" session, are a little
surprising. The ending price of the hypothetical series is 869.07 US$,
meaning that it had the largest net upward influence on prices of all three
of the trading sessions. Prices made steady gains from the start into May
2006 and was followed by a sideways correction that lasted until
roughly June 2007. From that point, prices rallied again into July
2008 and have since pulled back some.
Table 2 below shows the same statistics that I presented in the previous
article, but using the corrected estimates for cash Gold when the NYSE
closes.
| Statistic | Session 1 | Session 2 | Session 3 | NY EST |
| Starting Price (US$/OZ) | 453.5449 | 453.5449 | 453.5449 | 453.5449 |
| Ending Price (US$/OZ) | 572.8873 | 306.6661 | 869.0660 | 742.2449 |
| Total Return (raw) | 1.2631 | 0.6762 | 1.9162 | 1.6365 |
| Max Daily Return (%) | 3.3948 | 4.6623 | 6.6595 | 11.3945 |
| Mean Daily Return (%) | 0.0243 | -0.0407 | 0.0676 | 0.0512 |
| Median Daily Return (%) | 0.0195 | -0.0319 | 0.0945 | 0.0597 |
| Min Daily Return (%) | -3.8651 | -4.4721 | -6.1587 | -8.5295 |
| Number of Up Days (%) | 52.1830 | 46.3617 | 57.2765 | 53.3264 |
| Mean Return of Up Days (%) | 0.5150 | 0.5922 | 0.5780 | 1.0070 |
| Number of Down Days (%) | 47.7131 | 51.4553 | 42.6195 | 46.5696 |
| Mean Return of Down Days (%) | -0.5096 | -0.6092 | -0.6141 | -1.0320 |
Table 2. Statistics for the three hypothetical trading sessions and the estimated price for cash Gold when the NYSE closes.
If you have a preference for looking a statistics versus graphs, Table
2 above tells a similar story. An examination of either the sample mean
or median values of the daily returns shows that both the "Asian" and
"New York" sessions had an upward influence on prices while the "London"
session had a downward influence on prices (after netting out all the
day to day fluctuations).
Many observers of the international Gold bullion trade have commented
that when heavy selling pressure appears, it seems to happen more often
than not during the hours when the New York markets are open for business.
The objective of these articles was to determine if there was any evidence
that supported that perception.
A technique was presented in my previous article for the calculation
of three hypothetical price series, each one representing how the Gold
price would evolve if trading occurred only during a certain period of
the 24 hour trading day, (see reference [1]). This approach
is not a prediction of any sort, it is just a different way of looking
at the historical record.
This article presented a correction to the methodology used to estimate
the prevailing price of cash Gold when the NYSE closes from data
made available by the SPDR Gold Trust ETF. An inspection of the three
hypothetical price series provides quantitative evidence that the
intraday time period between the AM and PM London fixes has exerted a
net downward influence on cash Gold prices over the last four years. The
intraday time period from the PM London fix to the closing of the NYSE
has actually had a net upward influence on prices over the last four years.
One of the limitations of the analysis I have presented is that I was
constrained to partition the 24 hour trading day into sessions that
start and end at times when price quotes for cash Gold are readily
available. To perform the analysis with trading sessions that have
arbitrary start and end times requires price quotes for cash Gold that
are sampled frequently, preferably at intervals of 30 minutes or less.
Utilizing this sort of data also has the advantage that the introduction
of a bias error that might arise from using disparate data sources is
much less likely. (This is what occurred with my estimates made from
10 times the closing price of GLD).
Nick Laird, the proprietor of ShareLynx.com has kindly provided me with
just this sort of data for my analysis, (see reference
[3]). I am planning to publish a follow up to this
article with trading sessions that start and end at times that better
reflect the actual business hours of major global exchanges.
- War of the (Gold) Worlds, by John Peterson,
dated 26 October, 2008. [www.gold-eagle.com/editorials_08/peterson102908.html]
- SPDR: Gold Shares Home Page,
[www.spdrgoldshares.com].
From the SPDR Gold Shares home page, choose the "USA" tab for the country,
click on "Click here to continue..." located just below the legal notice,
go to the menu item labeled "Financial Information", and select the sub-menu
item labeled "Historical Archive".
- ShareLynx Gold Charts,
[www.sharelynx.com]
In this appendix I have tabulated the first and the last 15 values of each
of the hypothetical price series for the benefit of those who might want
to reproduce the calculations or just confirm their understanding of them.
(Had I tabulated the last 15 values for the previous article, I probably
would have spotted the issue with 10*GLD!)
| Date | AM Fix | PM Fix | NY EST | Session 1 | Session 2 | Session 3 |
| 2004-11-29 | 450.40 | 451.25 | 453.5449 | 453.5449 | 453.5449 | 453.5449 |
| 2004-11-30 | 452.00 | 453.40 | 451.4491 | 452.0000 | 454.9497 | 451.5934 |
| 2004-12-01 | 451.10 | 452.85 | 453.7444 | 451.6504 | 456.7146 | 452.4853 |
| 2004-12-02 | 454.35 | 454.20 | 449.5488 | 452.2532 | 456.5638 | 447.8517 |
| 2004-12-03 | 449.15 | 448.65 | 456.3453 | 451.8520 | 456.0556 | 455.5333 |
| 2004-12-06 | 455.75 | 453.05 | 452.0491 | 451.2626 | 453.3538 | 454.5269 |
| 2004-12-07 | 453.75 | 451.80 | 450.8438 | 452.9606 | 451.4055 | 453.5649 |
| 2004-12-08 | 445.75 | 436.90 | 440.1482 | 447.8429 | 442.4432 | 456.9369 |
| 2004-12-09 | 437.35 | 437.10 | 437.7424 | 444.9958 | 442.1903 | 457.6085 |
| 2004-12-10 | 433.90 | 434.00 | 434.5469 | 441.0897 | 442.2922 | 458.1851 |
| 2004-12-13 | 436.95 | 435.10 | 439.0425 | 443.5290 | 440.4196 | 462.3368 |
| 2004-12-14 | 438.60 | 437.10 | 435.5959 | 443.0820 | 438.9133 | 460.7459 |
| 2004-12-15 | 437.80 | 439.00 | 440.0916 | 445.3240 | 440.1164 | 461.8915 |
| 2004-12-16 | 441.25 | 439.50 | 437.1455 | 446.4962 | 438.3709 | 459.4171 |
| 2004-12-17 | 439.20 | 438.90 | 441.5417 | 448.5946 | 438.0714 | 462.1823 |
| ... | | | | | | ... |
| 2008-10-27 | 720.50 | 730.50 | 731.0458 | 545.0736 | 306.1001 | 901.2941 |
| 2008-10-28 | 745.00 | 730.50 | 745.9455 | 555.4779 | 300.1424 | 920.3508 |
| 2008-10-29 | 749.25 | 764.00 | 756.7403 | 557.9387 | 306.0511 | 911.6055 |
| 2008-10-30 | 772.25 | 755.25 | 737.9489 | 569.3738 | 299.3139 | 890.7227 |
| 2008-10-31 | 728.50 | 730.75 | 724.5466 | 562.0834 | 300.2383 | 883.1612 |
| 2008-11-03 | 734.00 | 729.50 | 723.5449 | 569.4171 | 298.3976 | 875.9517 |
| 2008-11-04 | 734.00 | 741.25 | 765.9406 | 577.6451 | 301.3450 | 905.1291 |
| 2008-11-05 | 753.25 | 753.75 | 740.6483 | 568.0744 | 301.5450 | 889.3961 |
| 2008-11-06 | 739.00 | 754.50 | 734.7436 | 566.8102 | 307.8697 | 866.1074 |
| 2008-11-07 | 742.00 | 735.25 | 737.3404 | 572.4080 | 305.0690 | 868.5698 |
| 2008-11-10 | 751.75 | 753.00 | 746.5404 | 583.5944 | 305.5763 | 861.1188 |
| 2008-11-11 | 741.75 | 733.75 | 733.2488 | 579.8496 | 302.2805 | 860.5306 |
| 2008-11-12 | 731.50 | 724.75 | 711.7430 | 578.4667 | 299.4912 | 845.0868 |
| 2008-11-13 | 714.00 | 713.50 | 738.9404 | 580.3010 | 299.2815 | 875.2190 |
| 2008-11-14 | 729.50 | 747.50 | 742.2449 | 572.8873 | 306.6661 | 869.0660 |
Table 3. Selected values for the three hypothetical price series.
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