Description

The U.S. Market Strategy was designed as an alternative to our Universal Investment Strategy which allocates between SPY (S&P 500 ETF) and TLT (U.S. Treasuries ETF). The equity component of this new strategy switches between SPY (S&P500), QQQ (Nasdaq 100), DIA (Dow 30) and SPLV (S&P 500 low volatility) so it can take advantage of different market conditions. The addition of SPLV provides a good defensive option in times of high market volatility. 

In addition to U.S. equities, the strategy utilizes a hedge strategy that switches between TLT, TIP, UUP and GLD.

The strategy's backtests performed substantially better than a simple SPY-TLT investment. All of the component ETFs are very liquid with small spreads making them easy to trade with negligible costs. 

 

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Which means for our asset as example:
  • The total return, or performance over 5 years of US Market Strategy is 102.4%, which is greater, thus better compared to the benchmark DIA (74.7%) in the same period.
  • Looking at total return in of 27.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to DIA (31.5%).

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.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 15.2% in the last 5 years of US Market Strategy, we see it is relatively greater, thus better in comparison to the benchmark DIA (11.8%)
  • During the last 3 years, the annual return (CAGR) is 8.6%, which is lower, thus worse than the value of 9.6% from the benchmark.

Volatility:

'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.'

Which means for our asset as example:
  • The historical 30 days volatility over 5 years of US Market Strategy is 9.1%, which is lower, thus better compared to the benchmark DIA (20.6%) in the same period.
  • Compared with DIA (14.9%) in the period of the last 3 years, the historical 30 days volatility of 7.8% is lower, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside deviation of 6.4% in the last 5 years of US Market Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (14.8%)
  • During the last 3 years, the downside volatility is 5.3%, which is lower, thus better than the value of 10.3% from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark DIA (0.45) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1.39 of US Market Strategy is greater, thus better.
  • During the last 3 years, the Sharpe Ratio is 0.78, which is greater, thus better than the value of 0.47 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 DIA (0.63) in the period of the last 5 years, the excess return divided by the downside deviation of 1.98 of US Market Strategy is greater, thus better.
  • Compared with DIA (0.68) in the period of the last 3 years, the excess return divided by the downside deviation of 1.13 is greater, thus better.

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.'

Which means for our asset as example:
  • The Ulcer Ratio over 5 years of US Market Strategy is 2.79 , which is lower, thus better compared to the benchmark DIA (7.68 ) in the same period.
  • Compared with DIA (7.08 ) in the period of the last 3 years, the Ulcer Index of 3.03 is lower, thus better.

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 DIA (-36.7 days) in the period of the last 5 years, the maximum reduction from previous high of -13.1 days of US Market Strategy is higher, thus better.
  • Looking at maximum drop from peak to valley in of -9.2 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to DIA (-20.8 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:
  • The maximum time in days below previous high water mark over 5 years of US Market Strategy is 261 days, which is lower, thus better compared to the benchmark DIA (477 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 261 days, which is smaller, thus better than the value of 477 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.'

Which means for our asset as example:
  • The average time in days below previous high water mark over 5 years of US Market Strategy is 48 days, which is smaller, thus better compared to the benchmark DIA (122 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 64 days, which is lower, thus better than the value of 170 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 US Market 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.