Description

The Leveraged Gold-Currency Strategy takes advantage of the historically negative correlation between gold and the U.S. dollar. It switches between the two assets based on their recent risk adjusted performance enabling the strategy to provide protection against severe gold corrections due to dollar strength. It is an excellent addition to existing equity or bond portfolios as it holds very little correlation to either.

This version of the strategy uses inverse leveraged ETFs to generate higher returns, but some retirement accounts are restricted from trading these ETFs. GLD-UUP provides an alternate form of the strategy without leveraged ETFs which also lowers the overall return and volatility.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Which means for our asset as example:
  • The total return over 5 years of Leveraged Gold-Currency Strategy is 143.9%, which is smaller, thus worse compared to the benchmark GLD (149.3%) in the same period.
  • Compared with GLD (143.9%) in the period of the last 3 years, the total return of 82.3% is lower, thus worse.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Which means for our asset as example:
  • The annual return (CAGR) over 5 years of Leveraged Gold-Currency Strategy is 19.6%, which is lower, thus worse compared to the benchmark GLD (20.1%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 22.3%, which is lower, thus worse than the value of 34.9% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark GLD (15.7%) in the period of the last 5 years, the volatility of 11.7% of Leveraged Gold-Currency Strategy is smaller, thus better.
  • Compared with GLD (16.5%) in the period of the last 3 years, the historical 30 days volatility of 12.1% is lower, thus better.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 8% in the last 5 years of Leveraged Gold-Currency Strategy, we see it is relatively smaller, thus better in comparison to the benchmark GLD (10.6%)
  • Compared with GLD (10.9%) in the period of the last 3 years, the downside volatility of 8.3% is lower, thus better.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Which means for our asset as example:
  • The Sharpe Ratio over 5 years of Leveraged Gold-Currency Strategy is 1.47, which is larger, thus better compared to the benchmark GLD (1.13) in the same period.
  • During the last 3 years, the Sharpe Ratio is 1.63, which is smaller, thus worse than the value of 1.96 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • The excess return divided by the downside deviation over 5 years of Leveraged Gold-Currency Strategy is 2.15, which is higher, thus better compared to the benchmark GLD (1.66) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 2.4, which is lower, thus worse than the value of 2.97 from the benchmark.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Using this definition on our asset we see for example:
  • Compared with the benchmark GLD (7.13 ) in the period of the last 5 years, the Ulcer Index of 5.33 of Leveraged Gold-Currency Strategy is lower, thus better.
  • Compared with GLD (3.84 ) in the period of the last 3 years, the Downside risk index of 4.27 is larger, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • The maximum drop from peak to valley over 5 years of Leveraged Gold-Currency Strategy is -15.3 days, which is higher, thus better compared to the benchmark GLD (-21 days) in the same period.
  • Compared with GLD (-11.3 days) in the period of the last 3 years, the maximum DrawDown of -12 days is smaller, thus worse.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:
  • The maximum days below previous high over 5 years of Leveraged Gold-Currency Strategy is 471 days, which is greater, thus worse compared to the benchmark GLD (436 days) in the same period.
  • During the last 3 years, the maximum days under water is 234 days, which is larger, thus worse than the value of 145 days from the benchmark.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Which means for our asset as example:
  • Looking at the average days below previous high of 111 days in the last 5 years of Leveraged Gold-Currency Strategy, we see it is relatively larger, thus worse in comparison to the benchmark GLD (108 days)
  • Compared with GLD (29 days) in the period of the last 3 years, the average time in days below previous high water mark of 54 days is higher, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Leveraged Gold-Currency Strategy are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.