Description of

Statistics of (YTD)

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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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (66.2%) in the period of the last 5 years, the total return of 48.8% of is lower, thus worse.
  • During the last 3 years, the total return, or performance is 45.9%, which is lower, thus worse than the value of 47.5% 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:
  • Compared with the benchmark SPY (10.7%) in the period of the last 5 years, the annual performance (CAGR) of 8.3% of is lower, thus worse.
  • Looking at annual performance (CAGR) in of 13.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (13.9%).

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.'

Applying this definition to our asset in some examples:
  • The volatility over 5 years of is 14.9%, which is larger, thus worse compared to the benchmark SPY (13.3%) in the same period.
  • Looking at 30 days standard deviation in of 14.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12.5%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.6%) in the period of the last 5 years, the downside volatility of 16.5% of is larger, thus worse.
  • During the last 3 years, the downside deviation is 16.2%, which is larger, thus worse than the value of 14.2% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.62) in the period of the last 5 years, the Sharpe Ratio of 0.39 of is lower, thus worse.
  • Looking at ratio of return and volatility (Sharpe) in of 0.76 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.91).

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.35 of is lower, thus worse.
  • During the last 3 years, the downside risk / excess return profile is 0.67, which is smaller, thus worse than the value of 0.8 from the benchmark.

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:
  • The Ulcer Index over 5 years of is 6.9 , which is greater, thus better compared to the benchmark SPY (3.96 ) in the same period.
  • Compared with SPY (4.01 ) in the period of the last 3 years, the Downside risk index of 5.29 is larger, thus better.

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:
  • Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum reduction from previous high of -25 days of is smaller, thus worse.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum DrawDown of -24.7 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). 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:
  • Looking at the maximum days below previous high of 353 days in the last 5 years of , we see it is relatively higher, thus worse in comparison to the benchmark SPY (187 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 178 days is higher, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (41 days) in the period of the last 5 years, the average time in days below previous high water mark of 80 days of is higher, thus worse.
  • Looking at average days below previous high in of 36 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (36 days).

Performance of (YTD)

Historical returns have been extended using synthetic data.

Allocations of
()

Allocations

Returns of (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of 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.