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.'

• Looking at the total return of 21.9% in the last 5 years of MongoDB, we see it is relatively lower, thus worse in comparison to the benchmark SPY (86.3%)
• During the last 3 years, the total return is 26.3%, which is smaller, thus worse than the value of 79.8% 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.'

• Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 4% of MongoDB is smaller, thus worse.
• Looking at annual return (CAGR) in of 8.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.7%).

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.'

• Looking at the 30 days standard deviation of 70.9% in the last 5 years of MongoDB, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.2%)
• Looking at volatility in of 63.6% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (15.4%).

DownVol:

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

• Looking at the downside deviation of 46.3% in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (11.8%)
• Compared with SPY (10.3%) in the period of the last 3 years, the downside volatility of 41.9% is greater, thus worse.

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 (0.63) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.02 of MongoDB is lower, thus worse.
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.09, which is smaller, thus worse than the value of 1.25 from the benchmark.

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.'

• Compared with the benchmark SPY (0.91) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.03 of MongoDB is smaller, thus worse.
• Compared with SPY (1.86) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.13 is lower, thus worse.

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.'

• Looking at the Downside risk index of 49 in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.45 )
• During the last 3 years, the Ulcer Index is 40 , which is larger, thus worse than the value of 3.37 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.'

• The maximum DrawDown over 5 years of MongoDB is -76.5 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
• Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -70.9 days is lower, thus worse.

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 1189 days of MongoDB is higher, thus worse.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 629 days is greater, thus worse.

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.'

• Looking at the average days under water of 571 days in the last 5 years of MongoDB, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
• During the last 3 years, the average time in days below previous high water mark is 272 days, which is larger, thus worse than the value of 18 days from the benchmark.