Description

ANSYS, Inc. - Common Stock

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Which means for our asset as example:
  • The total return, or increase in value over 5 years of ANSYS is 24.3%, which is lower, thus worse compared to the benchmark SPY (85.8%) in the same period.
  • During the last 3 years, the total return, or increase in value is 55.4%, which is smaller, thus worse than the value of 85% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (13.2%) in the period of the last 5 years, the annual return (CAGR) of 4.5% of ANSYS is smaller, thus worse.
  • Looking at annual performance (CAGR) in of 15.9% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (22.9%).

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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 32.2% in the last 5 years of ANSYS, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.2%)
  • During the last 3 years, the 30 days standard deviation is 30%, which is larger, thus worse than the value of 15.3% 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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of ANSYS is 21.9%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 18.9% 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.'

Using this definition on our asset we see for example:
  • Looking at the risk / return profile (Sharpe) of 0.06 in the last 5 years of ANSYS, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.63)
  • Looking at ratio of return and volatility (Sharpe) in of 0.45 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.33).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.91) in the period of the last 5 years, the downside risk / excess return profile of 0.09 of ANSYS is lower, thus worse.
  • Compared with SPY (2) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.71 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Index of 23 in the last 5 years of ANSYS, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.45 )
  • During the last 3 years, the Ulcer Index is 12 , which is higher, thus worse than the value of 3.23 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -51.3 days of ANSYS is lower, thus worse.
  • During the last 3 years, the maximum reduction from previous high is -31.5 days, which is smaller, 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) in days.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 891 days of ANSYS is higher, thus worse.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 376 days is larger, thus worse.

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.'

Which means for our asset as example:
  • Looking at the average time in days below previous high water mark of 340 days in the last 5 years of ANSYS, we see it is relatively greater, thus worse in comparison to the benchmark SPY (118 days)
  • During the last 3 years, the average days under water is 123 days, which is larger, thus worse than the value of 17 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of ANSYS are hypothetical and do not account for slippage, fees or taxes.