Description

This is the aggressive 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, 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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of 38.2% in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (90.8%)
  • Looking at total return, or performance in of 26.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (75.3%).

CAGR:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 6.7% in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (13.8%)
  • Looking at annual performance (CAGR) in of 8.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (20.7%).

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.'

Using this definition on our asset we see for example:
  • Looking at the 30 days standard deviation of 18.5% in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17%)
  • During the last 3 years, the volatility is 18.3%, which is larger, thus worse than the value of 15.2% from the benchmark.

DownVol:

'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:
  • Compared with the benchmark SPY (11.7%) in the period of the last 5 years, the downside deviation of 13.3% of GSRS Aggressive Sub-strategy is higher, thus worse.
  • Looking at downside deviation in of 13.1% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.2%).

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Using this definition on our asset we see for example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.23 in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.67)
  • Looking at risk / return profile (Sharpe) in of 0.3 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.2).

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.32 in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.97)
  • Compared with SPY (1.78) in the period of the last 3 years, the downside risk / excess return profile of 0.43 is smaller, 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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Ratio of 11 in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.42 )
  • During the last 3 years, the Downside risk index is 6.74 , which is greater, thus worse than the value of 3.49 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:
  • The maximum DrawDown over 5 years of GSRS Aggressive Sub-strategy is -25.3 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -18.1 days is greater, thus better.

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) in days.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 749 days in the last 5 years of GSRS Aggressive Sub-strategy, we see it is relatively greater, 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 265 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 Aggressive Sub-strategy is 246 days, which is greater, thus worse compared to the benchmark SPY (119 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 76 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 Aggressive 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.