MongoDB (MDB)

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.'

• The total return over 5 years of MongoDB is -22.4%, which is smaller, thus worse compared to the benchmark SPY (84.2%) in the same period.
• Looking at total return in of -24.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (75.9%).

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.'

• Looking at the annual return (CAGR) of -5% in the last 5 years of MongoDB, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (13.1%)
• Looking at annual performance (CAGR) in of -9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (20.8%).

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

• Looking at the 30 days standard deviation of 70.3% in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (17.1%)
• Compared with SPY (15.3%) in the period of the last 3 years, the 30 days standard deviation of 62.7% is greater, thus worse.

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.'

• The downside deviation over 5 years of MongoDB is 46.3%, which is greater, thus worse compared to the benchmark SPY (11.8%) in the same period.
• During the last 3 years, the downside deviation is 42.1%, which is higher, thus worse than the value of 10.3% from the benchmark.

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.'

• Looking at the ratio of return and volatility (Sharpe) of -0.11 in the last 5 years of MongoDB, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.62)
• Compared with SPY (1.2) in the period of the last 3 years, the Sharpe Ratio of -0.18 is lower, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

• Looking at the excess return divided by the downside deviation of -0.16 in the last 5 years of MongoDB, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.89)
• During the last 3 years, the ratio of annual return and downside deviation is -0.27, which is lower, thus worse than the value of 1.78 from the benchmark.

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.'

• Looking at the Ulcer Index of 48 in the last 5 years of MongoDB, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.45 )
• Looking at Downside risk index in of 40 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.51 ).

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.'

• The maximum drop from peak to valley over 5 years of MongoDB is -76.5 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
• During the last 3 years, the maximum DrawDown is -70.9 days, which is lower, thus worse than the value of -18.8 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'

• The maximum days below previous high over 5 years of MongoDB is 1154 days, which is larger, thus worse compared to the benchmark SPY (488 days) in the same period.
• Looking at maximum days below previous high in of 594 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 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.'

• Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average time in days below previous high water mark of 539 days of MongoDB is higher, thus worse.
• Looking at average days under water in of 246 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 days).