Description

This is the unhedged version of the Global Sector Rotation Strategy and is used as a sub-strategy. It picks on a monthly basis the top two performing global sectors.

Statistics (YTD)

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

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Which means for our asset as example:
  • The total return, or performance over 5 years of GSRS Unhedged Sub-strategy is 42.3%, which is lower, thus worse compared to the benchmark SPY (80.9%) in the same period.
  • During the last 3 years, the total return, or performance is 41.8%, which is lower, thus worse than the value of 75.3% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 7.3% in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.6%)
  • Looking at annual performance (CAGR) in of 12.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (20.7%).

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:
  • Looking at the 30 days standard deviation of 13.6% in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (17%)
  • Looking at historical 30 days volatility in of 13% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (15%).

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.'

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 9.7% in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (11.7%)
  • During the last 3 years, the downside volatility is 9.1%, which is lower, thus better than the value of 10.1% from the benchmark.

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:
  • Compared with the benchmark SPY (0.6) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.36 of GSRS Unhedged Sub-strategy is lower, thus worse.
  • Compared with SPY (1.21) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.76 is lower, thus worse.

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.'

Which means for our asset as example:
  • Looking at the downside risk / excess return profile of 0.5 in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.86)
  • Compared with SPY (1.81) in the period of the last 3 years, the ratio of annual return and downside deviation of 1.08 is smaller, thus worse.

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.'

Which means for our asset as example:
  • Looking at the Downside risk index of 7.87 in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (8.43 )
  • During the last 3 years, the Ulcer Index is 3.56 , which is larger, thus worse than the value of 3.41 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.'

Using this definition on our asset we see for example:
  • The maximum reduction from previous high over 5 years of GSRS Unhedged Sub-strategy is -20.1 days, which is higher, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -10.8 days, which is larger, thus better than the value of -18.8 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 601 days of GSRS Unhedged Sub-strategy is greater, thus worse.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 160 days is higher, thus worse.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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 time in days below previous high water mark of 168 days in the last 5 years of GSRS Unhedged Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (119 days)
  • Compared with SPY (19 days) in the period of the last 3 years, the average days below previous high of 36 days is larger, 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 GSRS Unhedged 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.