Description

This is the aggressive sub-strategy of the leveraged GLD-USD strategy.

Statistics (YTD)

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

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:
  • Looking at the total return, or performance of 96.3% in the last 5 years of Gold-USD Aggressive Sub-strategy, we see it is relatively higher, thus better in comparison to the benchmark GLD (92.5%)
  • During the last 3 years, the total return, or performance is 44.9%, which is lower, thus worse than the value of 77.1% from the benchmark.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 14.5% in the last 5 years of Gold-USD Aggressive Sub-strategy, we see it is relatively higher, thus better in comparison to the benchmark GLD (14%)
  • Looking at annual performance (CAGR) in of 13.2% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to GLD (21.1%).

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.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of Gold-USD Aggressive Sub-strategy is 17.6%, which is greater, thus worse compared to the benchmark GLD (15.2%) in the same period.
  • Compared with GLD (15.2%) in the period of the last 3 years, the historical 30 days volatility of 18.9% is larger, thus worse.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark GLD (10.6%) in the period of the last 5 years, the downside risk of 12.7% of Gold-USD Aggressive Sub-strategy is greater, thus worse.
  • Looking at downside deviation in of 13.7% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to GLD (9.9%).

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.'

Using this definition on our asset we see for example:
  • Looking at the risk / return profile (Sharpe) of 0.68 in the last 5 years of Gold-USD Aggressive Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark GLD (0.76)
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.57, which is smaller, thus worse than the value of 1.23 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 Gold-USD Aggressive Sub-strategy is 0.94, which is lower, thus worse compared to the benchmark GLD (1.09) in the same period.
  • Compared with GLD (1.89) in the period of the last 3 years, the excess return divided by the downside deviation of 0.78 is lower, thus worse.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • Compared with the benchmark GLD (9.76 ) in the period of the last 5 years, the Ulcer Index of 15 of Gold-USD Aggressive Sub-strategy is larger, thus worse.
  • During the last 3 years, the Ulcer Index is 19 , which is larger, thus worse than the value of 4.96 from the benchmark.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Which means for our asset as example:
  • Compared with the benchmark GLD (-22 days) in the period of the last 5 years, the maximum DrawDown of -34.4 days of Gold-USD Aggressive Sub-strategy is lower, thus worse.
  • Compared with GLD (-13.8 days) in the period of the last 3 years, the maximum reduction from previous high of -34.4 days is smaller, thus worse.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Using this definition on our asset we see for example:
  • Compared with the benchmark GLD (897 days) in the period of the last 5 years, the maximum days below previous high of 608 days of Gold-USD Aggressive Sub-strategy is smaller, thus better.
  • During the last 3 years, the maximum days below previous high is 608 days, which is larger, thus worse than the value of 171 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:
  • The average days below previous high over 5 years of Gold-USD Aggressive Sub-strategy is 225 days, which is smaller, thus better compared to the benchmark GLD (349 days) in the same period.
  • During the last 3 years, the average days below previous high is 260 days, which is greater, thus worse than the value of 45 days from the benchmark.

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 Gold-USD Aggressive Sub-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.