Description of

Statistics of (YTD)

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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.'

Which means for our asset as example:
  • The total return, or performance over 5 years of is 11.4%, which is lower, thus worse compared to the benchmark SPY (66.7%) in the same period.
  • Looking at total return, or increase in value in of 6.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (46%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (10.8%) in the period of the last 5 years, the annual return (CAGR) of 2.2% of is smaller, thus worse.
  • During the last 3 years, the annual performance (CAGR) is 2.2%, which is lower, thus worse than the value of 13.5% from the benchmark.

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:
  • Looking at the 30 days standard deviation of 1.5% in the last 5 years of , we see it is relatively lower, thus better in comparison to the benchmark SPY (13.4%)
  • During the last 3 years, the historical 30 days volatility is 1.5%, which is lower, thus better than the value of 12.3% from the benchmark.

DownVol:

'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.'

Applying this definition to our asset in some examples:
  • The downside risk over 5 years of is 2%, which is smaller, thus better compared to the benchmark SPY (14.6%) in the same period.
  • Looking at downside volatility in of 2% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (13.9%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.62) in the period of the last 5 years, the Sharpe Ratio of -0.21 of is smaller, thus worse.
  • During the last 3 years, the Sharpe Ratio is -0.24, which is smaller, thus worse than the value of 0.89 from the benchmark.

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:
  • Looking at the downside risk / excess return profile of -0.16 in the last 5 years of , we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.57)
  • During the last 3 years, the excess return divided by the downside deviation is -0.18, which is lower, thus worse than the value of 0.79 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (3.99 ) in the period of the last 5 years, the Ulcer Index of 0.49 of is lower, thus better.
  • During the last 3 years, the Downside risk index is 0.59 , which is smaller, thus better than the value of 4.04 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:
  • Looking at the maximum drop from peak to valley of -1.5 days in the last 5 years of , we see it is relatively higher, thus better in comparison to the benchmark SPY (-19.3 days)
  • During the last 3 years, the maximum drop from peak to valley is -1.5 days, which is higher, thus better than the value of -19.3 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 days under water over 5 years of is 320 days, which is greater, thus worse compared to the benchmark SPY (187 days) in the same period.
  • Looking at maximum days below previous high in of 320 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (139 days).

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:
  • Looking at the average time in days below previous high water mark of 71 days in the last 5 years of , we see it is relatively greater, thus worse in comparison to the benchmark SPY (41 days)
  • Looking at average time in days below previous high water mark in of 97 days in the period of the last 3 years, we see it is relatively larger, 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.