Description

A sub-strategy for the U.S. Sector strategy. It looks at momentum using a short lookback period to respond faster to changes in the market.

Methodology & Assets

See the main US Sector strategy for a detailed asset description.

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:
  • Compared with the benchmark SPY (77.4%) in the period of the last 5 years, the total return, or performance of 49.6% of US sectors short lookback is smaller, thus worse.
  • Looking at total return, or increase in value in of 33.2% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (43.3%).

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.'

Which means for our asset as example:
  • Looking at the compounded annual growth rate (CAGR) of 8.4% in the last 5 years of US sectors short lookback, we see it is relatively lower, thus worse in comparison to the benchmark SPY (12.1%)
  • Looking at annual return (CAGR) in of 10% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (12.7%).

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.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of US sectors short lookback is 17.4%, which is lower, thus better compared to the benchmark SPY (19%) in the same period.
  • Looking at historical 30 days volatility in of 19.5% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (22%).

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:
  • Compared with the benchmark SPY (13.9%) in the period of the last 5 years, the downside volatility of 12.5% of US sectors short lookback is lower, thus better.
  • Looking at downside volatility in of 13.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.2%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.51) in the period of the last 5 years, the Sharpe Ratio of 0.34 of US sectors short lookback is lower, thus worse.
  • Looking at risk / return profile (Sharpe) in of 0.39 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.46).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.7) in the period of the last 5 years, the downside risk / excess return profile of 0.47 of US sectors short lookback is lower, thus worse.
  • During the last 3 years, the downside risk / excess return profile is 0.54, which is lower, thus worse than the value of 0.63 from the benchmark.

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 US sectors short lookback is 5.83 , which is smaller, thus better compared to the benchmark SPY (5.87 ) in the same period.
  • During the last 3 years, the Ulcer Index is 6.39 , which is smaller, thus better than the value of 7.01 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum reduction from previous high of -26.1 days in the last 5 years of US sectors short lookback, we see it is relatively higher, thus better in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum drop from peak to valley is -26.1 days, which is larger, thus better than the value of -33.7 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'

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 sectors short lookback is 201 days, which is higher, thus worse compared to the benchmark SPY (139 days) in the same period.
  • Looking at maximum days under water in of 143 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (139 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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 61 days in the last 5 years of US sectors short lookback, we see it is relatively higher, thus worse in comparison to the benchmark SPY (37 days)
  • Compared with SPY (45 days) in the period of the last 3 years, the average days below previous high of 45 days is larger, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of US sectors short lookback 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.