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.

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

'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.'

Using this definition on our asset we see for example:- Looking at the total return of 37.6% 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 (121.2%)
- Looking at total return, or performance in of 19.1% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (67.5%).

'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.'

Which means for our asset as example:- The compounded annual growth rate (CAGR) over 5 years of GSRS Low Volatility Sub-strategy is 6.6%, which is smaller, thus worse compared to the benchmark SPY (17.2%) in the same period.
- Compared with SPY (18.7%) in the period of the last 3 years, the annual performance (CAGR) of 6% is lower, thus worse.

'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.'

Applying this definition to our asset in some examples:- The 30 days standard deviation over 5 years of GSRS Low Volatility Sub-strategy is 15.2%, which is lower, thus better compared to the benchmark SPY (18.7%) in the same period.
- Looking at historical 30 days volatility in of 17.7% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (22.5%).

'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:- Looking at the downside volatility of 11.8% 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 (13.6%)
- Looking at downside risk in of 13.8% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (16.3%).

'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:- The Sharpe Ratio over 5 years of GSRS Low Volatility Sub-strategy is 0.27, which is lower, thus worse compared to the benchmark SPY (0.79) in the same period.
- Looking at risk / return profile (Sharpe) in of 0.2 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.72).

'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 0.35 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 (1.08)
- Looking at downside risk / excess return profile in of 0.25 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1).

'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.'

Applying this definition to our asset in some examples:- The Downside risk index over 5 years of GSRS Low Volatility Sub-strategy is 11 , which is larger, thus worse compared to the benchmark SPY (5.59 ) in the same period.
- During the last 3 years, the Ulcer Index is 13 , which is greater, thus worse than the value of 6.83 from the benchmark.

'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:- Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -43.4 days of GSRS Low Volatility Sub-strategy is lower, thus worse.
- Looking at maximum DrawDown in of -43.4 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-33.7 days).

'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 289 days, which is larger, thus worse compared to the benchmark SPY (139 days) in the same period.
- Compared with SPY (139 days) in the period of the last 3 years, the maximum days under water of 289 days is larger, thus worse.

'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:- Compared with the benchmark SPY (33 days) in the period of the last 5 years, the average time in days below previous high water mark of 80 days of GSRS Low Volatility Sub-strategy is higher, thus worse.
- Looking at average time in days below previous high water mark in of 70 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (35 days).

Historical returns have been extended using synthetic data.
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- 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.