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:

'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:
  • Looking at the total return, or increase in value of 92.9% in the last 5 years of US Market Strategy, we see it is relatively higher, thus better in comparison to the benchmark DIA (66.9%)
  • Compared with DIA (38.3%) in the period of the last 3 years, the total return, or performance of 39.9% is larger, thus better.

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.'

Which means for our asset as example:
  • The compounded annual growth rate (CAGR) over 5 years of US Market Strategy is 14.1%, which is greater, thus better compared to the benchmark DIA (10.8%) in the same period.
  • Compared with DIA (11.5%) in the period of the last 3 years, the annual return (CAGR) of 11.9% is larger, thus better.

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 US Market Strategy is 9.2%, which is lower, thus better compared to the benchmark DIA (20.6%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 7.8%, which is lower, thus better than the value of 14.6% from the benchmark.

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:
  • The downside volatility over 5 years of US Market Strategy is 6.4%, which is lower, thus better compared to the benchmark DIA (14.8%) in the same period.
  • During the last 3 years, the downside risk is 5.3%, which is lower, thus better than the value of 10% 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.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of US Market Strategy is 1.26, which is higher, thus better compared to the benchmark DIA (0.4) in the same period.
  • Compared with DIA (0.62) in the period of the last 3 years, the risk / return profile (Sharpe) of 1.21 is larger, thus better.

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk / excess return profile of 1.8 in the last 5 years of US Market Strategy, we see it is relatively higher, thus better in comparison to the benchmark DIA (0.56)
  • Compared with DIA (0.89) in the period of the last 3 years, the ratio of annual return and downside deviation of 1.77 is larger, thus better.

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:
  • Compared with the benchmark DIA (7.62 ) in the period of the last 5 years, the Ulcer Ratio of 2.8 of US Market Strategy is lower, thus better.
  • During the last 3 years, the Ulcer Ratio is 2.95 , which is lower, thus better than the value of 5.12 from the benchmark.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Which means for our asset as example:
  • Looking at the maximum drop from peak to valley of -13.1 days in the last 5 years of US Market Strategy, we see it is relatively greater, thus better in comparison to the benchmark DIA (-36.3 days)
  • Compared with DIA (-17.8 days) in the period of the last 3 years, the maximum reduction from previous high of -9.2 days is larger, 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). 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'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 261 days in the last 5 years of US Market Strategy, we see it is relatively smaller, thus better in comparison to the benchmark DIA (477 days)
  • Looking at maximum days below previous high in of 261 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to DIA (323 days).

AveDuration:

'The Average 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. 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 DIA (115 days) in the period of the last 5 years, the average time in days below previous high water mark of 48 days of US Market Strategy is smaller, thus better.
  • Compared with DIA (89 days) in the period of the last 3 years, the average time in days below previous high water mark of 63 days is smaller, thus better.

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.