Meta Platforms (META)

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.'

• Looking at the total return of 189.3% in the last 5 years of Meta Platforms, we see it is relatively higher, thus better in comparison to the benchmark SPY (109.3%)
• Looking at total return in of 194.1% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (34.3%).

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 (16%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 23.7% of Meta Platforms is higher, thus better.
• Looking at annual performance (CAGR) in of 43.5% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (10.4%).

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.'

• The 30 days standard deviation over 5 years of Meta Platforms is 44.1%, which is larger, thus worse compared to the benchmark SPY (18%) in the same period.
• During the last 3 years, the 30 days standard deviation is 46.5%, which is larger, thus worse than the value of 18.8% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

• Compared with the benchmark SPY (12.5%) in the period of the last 5 years, the downside deviation of 30.3% of Meta Platforms is higher, thus worse.
• Compared with SPY (13%) in the period of the last 3 years, the downside risk of 30.1% is higher, thus worse.

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 (0.75) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.48 of Meta Platforms is lower, thus worse.
• Compared with SPY (0.42) in the period of the last 3 years, the Sharpe Ratio of 0.88 is greater, thus better.

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.'

• Looking at the excess return divided by the downside deviation of 0.7 in the last 5 years of Meta Platforms, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.07)
• During the last 3 years, the ratio of annual return and downside deviation is 1.36, which is higher, thus better than the value of 0.6 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 Downside risk index of 30 in the last 5 years of Meta Platforms, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.45 )
• During the last 3 years, the Downside risk index is 20 , which is greater, thus worse than the value of 5.75 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.'

• 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 smaller, thus worse in comparison to the benchmark SPY (-24.5 days)
• Looking at maximum DrawDown in of -60.2 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 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). 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 time in days below previous high water mark 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.
• Compared with SPY (199 days) in the period of the last 3 years, the maximum days below previous high of 245 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.'

• The average days below previous high over 5 years of Meta Platforms is 167 days, which is larger, thus worse compared to the benchmark SPY (118 days) in the same period.
• Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 57 days is higher, thus worse.