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 over 5 years of GSRS Low Volatility Sub-strategy is 35.2%, which is lower, thus worse compared to the benchmark SPY (91.2%) in the same period.
  • During the last 3 years, the total return, or performance is 13.1%, which is smaller, thus worse than the value of 41.5% from the benchmark.

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:
  • Compared with the benchmark SPY (13.8%) in the period of the last 5 years, the annual performance (CAGR) of 6.2% of GSRS Low Volatility Sub-strategy is lower, thus worse.
  • Looking at annual performance (CAGR) in of 4.2% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (12.3%).

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of GSRS Low Volatility Sub-strategy is 15.4%, which is smaller, thus better compared to the benchmark SPY (18.8%) in the same period.
  • Looking at 30 days standard deviation in of 17.7% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (22.4%).

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 (13.7%) in the period of the last 5 years, the downside volatility of 11.9% of GSRS Low Volatility Sub-strategy is lower, thus better.
  • Looking at downside volatility in of 13.9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.5%).

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 risk / return profile (Sharpe) of 0.24 in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.6)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.1, which is smaller, thus worse than the value of 0.44 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.83) in the period of the last 5 years, the excess return divided by the downside deviation of 0.31 of GSRS Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.12, which is lower, thus worse than the value of 0.59 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.'

Applying this definition to our asset in some examples:
  • Looking at the Downside risk index of 9.19 in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (5.79 )
  • Looking at Ulcer Index in of 11 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (7.09 ).

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 DrawDown over 5 years of GSRS Low Volatility Sub-strategy is -43.4 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -43.4 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-33.7 days).

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:
  • The maximum time in days below previous high water mark over 5 years of GSRS Low Volatility Sub-strategy is 248 days, which is greater, thus worse compared to the benchmark SPY (139 days) in the same period.
  • During the last 3 years, the maximum days under water is 248 days, which is higher, thus worse than the value of 139 days from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (37 days) in the period of the last 5 years, the average days below previous high of 59 days of GSRS Low Volatility Sub-strategy is higher, thus worse.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 69 days is higher, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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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, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.