Meta Platforms (META)

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.'

• The total return, or increase in value over 5 years of Meta Platforms is 172.3%, which is greater, thus better compared to the benchmark SPY (91.8%) in the same period.
• Compared with SPY (30.9%) in the period of the last 3 years, the total return of 79.7% is greater, thus better.

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.'

• Looking at the annual return (CAGR) of 22.2% in the last 5 years of Meta Platforms, we see it is relatively higher, thus better in comparison to the benchmark SPY (13.9%)
• Looking at compounded annual growth rate (CAGR) in of 21.7% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (9.5%).

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 30 days standard deviation over 5 years of Meta Platforms is 44.9%, which is greater, thus worse compared to the benchmark SPY (21%) in the same period.
• During the last 3 years, the 30 days standard deviation is 48.7%, which is larger, thus worse than the value of 17.5% from the benchmark.

DownVol:

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

• The downside risk over 5 years of Meta Platforms is 31.1%, which is greater, thus worse compared to the benchmark SPY (15%) in the same period.
• During the last 3 years, the downside volatility is 33.9%, which is larger, thus worse than the value of 12.3% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

• Compared with the benchmark SPY (0.54) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.44 of Meta Platforms is lower, thus worse.
• Looking at Sharpe Ratio in of 0.39 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.4).

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.'

• Compared with the benchmark SPY (0.76) in the period of the last 5 years, the downside risk / excess return profile of 0.63 of Meta Platforms is lower, thus worse.
• Compared with SPY (0.57) in the period of the last 3 years, the excess return divided by the downside deviation of 0.57 is greater, thus better.

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.'

• Compared with the benchmark SPY (9.33 ) in the period of the last 5 years, the Ulcer Ratio of 30 of Meta Platforms is greater, thus worse.
• Looking at Ulcer Ratio in of 33 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (8.89 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• Looking at the maximum drop from peak to valley of -76.7 days in the last 5 years of Meta Platforms, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
• Looking at maximum DrawDown in of -73.2 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-22.4 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) in days.'

• The maximum days under water over 5 years of Meta Platforms is 594 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
• Looking at maximum days below previous high in of 459 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (375 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.'

• Looking at the average days under water of 165 days in the last 5 years of Meta Platforms, we see it is relatively larger, thus worse in comparison to the benchmark SPY (122 days)
• During the last 3 years, the average days below previous high is 155 days, which is larger, thus worse than the value of 114 days from the benchmark.