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 33.5%, which is smaller, thus worse compared to the benchmark SPY (90%) in the same period.
  • During the last 3 years, the total return, or performance is 30.9%, which is lower, thus worse than the value of 86% 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 performance (CAGR) of 6% 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 (13.7%)
  • Looking at annual return (CAGR) in of 9.4% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (23.1%).

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:
  • The historical 30 days volatility over 5 years of GSRS Low Volatility Sub-strategy is 12.2%, which is smaller, thus better compared to the benchmark SPY (17%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 10.7%, which is lower, thus better than the value of 15.1% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the downside volatility of 8.7% in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (11.7%)
  • Looking at downside risk in of 7.5% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (10.1%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.66) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.28 of GSRS Low Volatility Sub-strategy is lower, thus worse.
  • Looking at ratio of return and volatility (Sharpe) in of 0.64 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.36).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 0.4 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 (0.96)
  • Compared with SPY (2.04) in the period of the last 3 years, the excess return divided by the downside deviation of 0.93 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:
  • The Downside risk index over 5 years of GSRS Low Volatility Sub-strategy is 6.54 , which is smaller, thus better compared to the benchmark SPY (8.44 ) in the same period.
  • Looking at Downside risk index in of 3.21 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (3.5 ).

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum drop from peak to valley of -19.9 days in the last 5 years of GSRS Low Volatility Sub-strategy, we see it is relatively higher, thus better in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum DrawDown is -10.2 days, which is larger, thus better than the value of -18.8 days from the benchmark.

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'

Applying this definition to our asset in some examples:
  • 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 greater, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 132 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days below previous high of 147 days of GSRS Low Volatility Sub-strategy is higher, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 29 days, which is greater, thus worse than the value of 20 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 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.