MongoDB (MDB)

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.'

• Compared with the benchmark SPY (97.6%) in the period of the last 5 years, the total return, or performance of 24.1% of MongoDB is lower, thus worse.
• During the last 3 years, the total return, or performance is 104.2%, which is greater, thus better than the value of 82.1% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

• The compounded annual growth rate (CAGR) over 5 years of MongoDB is 4.4%, which is lower, thus worse compared to the benchmark SPY (14.7%) in the same period.
• Looking at annual return (CAGR) in of 27.1% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (22.3%).

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.'

• The volatility over 5 years of MongoDB is 69.1%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
• During the last 3 years, the volatility is 62.4%, which is larger, thus worse than the value of 15.4% 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.'

• The downside volatility over 5 years of MongoDB is 44.7%, which is larger, thus worse compared to the benchmark SPY (11.8%) in the same period.
• Looking at downside volatility in of 39.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.3%).

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.'

• Compared with the benchmark SPY (0.71) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.03 of MongoDB is lower, thus worse.
• Looking at ratio of return and volatility (Sharpe) in of 0.39 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.28).

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.'

• The excess return divided by the downside deviation over 5 years of MongoDB is 0.04, which is smaller, thus worse compared to the benchmark SPY (1.03) in the same period.
• During the last 3 years, the ratio of annual return and downside deviation is 0.62, which is lower, thus worse than the value of 1.93 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.'

• Looking at the Ulcer Ratio of 47 in the last 5 years of MongoDB, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.42 )
• Compared with SPY (3.52 ) in the period of the last 3 years, the Ulcer Index of 37 is higher, thus worse.

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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -76.5 days of MongoDB is lower, thus worse.
• Looking at maximum DrawDown in of -70.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 1023 days of MongoDB is higher, thus worse.
• During the last 3 years, the maximum days under water is 463 days, which is larger, thus worse than the value of 87 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.'

• Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days under water of 433 days of MongoDB is higher, thus worse.
• Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 160 days is greater, thus worse.