Description of

Statistics of (YTD)

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TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Which means for our asset as example:
  • Looking at the total return, or performance of 57.7% in the last 5 years of , we see it is relatively lower, thus worse in comparison to the benchmark SPY (74.4%)
  • Compared with SPY (47.2%) in the period of the last 3 years, the total return of 33.1% is lower, thus worse.

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 compounded annual growth rate (CAGR) of 9.6% in the last 5 years of , we see it is relatively lower, thus worse in comparison to the benchmark SPY (11.8%)
  • Compared with SPY (13.8%) in the period of the last 3 years, the annual performance (CAGR) of 10.1% is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the historical 30 days volatility of 15.2% of is larger, thus worse.
  • During the last 3 years, the historical 30 days volatility is 14.5%, which is larger, thus worse than the value of 12.9% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.9%) in the period of the last 5 years, the downside volatility of 16.7% of is greater, thus worse.
  • Looking at downside deviation in of 16.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (14.6%).

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 SPY (0.68) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.46 of is smaller, thus worse.
  • Compared with SPY (0.88) in the period of the last 3 years, the Sharpe Ratio of 0.52 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • The downside risk / excess return profile over 5 years of is 0.42, which is lower, thus worse compared to the benchmark SPY (0.62) in the same period.
  • Compared with SPY (0.77) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.47 is lower, thus worse.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Which means for our asset as example:
  • Compared with the benchmark SPY (3.99 ) in the period of the last 5 years, the Downside risk index of 6.64 of is larger, thus worse.
  • During the last 3 years, the Ulcer Ratio is 5.64 , which is greater, thus worse than the value of 4.1 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The maximum DrawDown over 5 years of is -24.6 days, which is lower, thus worse compared to the benchmark SPY (-19.3 days) in the same period.
  • Looking at maximum drop from peak to valley in of -24.6 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-19.3 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:
  • Looking at the maximum days under water of 302 days in the last 5 years of , we see it is relatively larger, thus worse in comparison to the benchmark SPY (187 days)
  • During the last 3 years, the maximum days under water is 282 days, which is larger, thus worse than the value of 139 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.'

Applying this definition to our asset in some examples:
  • The average days below previous high over 5 years of is 85 days, which is greater, thus worse compared to the benchmark SPY (41 days) in the same period.
  • During the last 3 years, the average days below previous high is 71 days, which is larger, thus worse than the value of 36 days from the benchmark.

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.