Description

This is the low volatility 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.

Methodology & Assets

EEM – iShares MSCI Emerging Markets
DBEM – Emerging Markets Equity Fund
EPP – iShares MSCI Pacific ex-Japan
DBAP – MSCI AC Asia Pacific ex Japan Hedged Equity Fund
FEZ – SPDR Euro STOXX 50
HEDJ – Europe Hedged Equity Fund
IHDG – WisdomTree Int’l Hedged Quality Divident ETF
MDY – S&P MidCap 400

From the HEDGE sub-strategy:
GLD – SPDR Gold Shares
TLT– iShares Barclays Long-Term Treasury (15-18yr)

From the Short Sectors sub-strategy:
SMN - ProShares UltraShort Basic Materials
ERY - Direxion Daily Energy Bear 3X ETF
SKF - ProShares UltraShort Financials
SIJ - ProShares UltraShort Industrial
REW - ProShares UltraShort Technolog
RXD - ProShares UltraShort Health Car
SCC - ProShares UltraShort Consumer Service
SDP - ProShares UltraShort Utilitie
SZK - ProShares UltraShort Consumer Goods

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.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of GSRS Low Volatility Sub-strategy is 33.5%, which is lower, thus worse compared to the benchmark SPY (88.7%) in the same period.
  • During the last 3 years, the total return, or increase in value is 38.5%, which is lower, thus worse than the value of 85.3% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the annual return (CAGR) of 6% of GSRS Low Volatility Sub-strategy is smaller, thus worse.
  • Looking at annual performance (CAGR) in of 11.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (23%).

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the 30 days standard deviation of 12.2% of GSRS Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the historical 30 days volatility is 10.7%, which is lower, thus better than the value of 15.3% from the benchmark.

DownVol:

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

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 8.7% of GSRS Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the downside deviation is 7.4%, which is lower, thus better than the value of 10.2% 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.'

Applying this definition to our asset in some examples:
  • Looking at the Sharpe Ratio of 0.29 in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.65)
  • Compared with SPY (1.34) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.85 is smaller, thus worse.

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of GSRS Low Volatility Sub-strategy is 0.4, which is lower, thus worse compared to the benchmark SPY (0.94) in the same period.
  • Looking at ratio of annual return and downside deviation in of 1.23 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2.01).

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:
  • Looking at the Downside risk index of 6.58 in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.45 )
  • Looking at Ulcer Index in of 3.17 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (3.23 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -19.9 days of GSRS Low Volatility Sub-strategy is larger, thus better.
  • Looking at maximum drop from peak to valley in of -10.2 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (-18.8 days).

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'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 539 days in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 146 days is larger, 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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of GSRS Low Volatility Sub-strategy is 147 days, which is larger, thus worse compared to the benchmark SPY (119 days) in the same period.
  • Compared with SPY (17 days) in the period of the last 3 years, the average days under water of 37 days is greater, 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 Low Volatility 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.