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:
  • Looking at the total return, or performance of 233.5% in the last 5 years of US sectors short lookback, we see it is relatively higher, thus better in comparison to the benchmark SPY (98.8%)
  • During the last 3 years, the total return is 108.3%, which is higher, thus better than the value of 30.3% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 27.3% in the last 5 years of US sectors short lookback, we see it is relatively larger, thus better in comparison to the benchmark SPY (14.8%)
  • Compared with SPY (9.2%) in the period of the last 3 years, the annual return (CAGR) of 27.7% is greater, thus better.

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.'

Using this definition on our asset we see for example:
  • The volatility over 5 years of US sectors short lookback is 26.3%, which is larger, thus worse compared to the benchmark SPY (21%) in the same period.
  • Looking at historical 30 days volatility in of 22.7% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.5%).

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:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside volatility of 18.4% of US sectors short lookback is greater, thus worse.
  • Compared with SPY (12.3%) in the period of the last 3 years, the downside risk of 15.8% is larger, thus worse.

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 Sharpe Ratio over 5 years of US sectors short lookback is 0.94, which is higher, thus better compared to the benchmark SPY (0.58) in the same period.
  • Looking at risk / return profile (Sharpe) in of 1.11 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.39).

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:
  • The excess return divided by the downside deviation over 5 years of US sectors short lookback is 1.34, which is larger, thus better compared to the benchmark SPY (0.82) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 1.6, which is larger, thus better than the value of 0.55 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 9.97 , which is larger, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • During the last 3 years, the Ulcer Index is 11 , which is higher, thus worse than the value of 10 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 reduction from previous high over 5 years of US sectors short lookback is -37.3 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -26.3 days is lower, thus worse.

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.'

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 254 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum time in days below previous high water mark is 254 days, which is smaller, thus better than the value of 488 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of US sectors short lookback is 52 days, which is lower, thus better compared to the benchmark SPY (122 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 66 days, which is smaller, thus better than the value of 177 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 sectors short lookback 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.