Verisk Analytics (VRSK)

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.'

• The total return over 5 years of Verisk Analytics is 79.9%, which is smaller, thus worse compared to the benchmark SPY (91.2%) in the same period.
• Looking at total return, or performance in of 38.2% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (30.8%).

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.'

• The compounded annual growth rate (CAGR) over 5 years of Verisk Analytics is 12.5%, which is smaller, thus worse compared to the benchmark SPY (13.9%) in the same period.
• Compared with SPY (9.4%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 11.5% is larger, thus better.

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.'

• Compared with the benchmark SPY (21%) in the period of the last 5 years, the 30 days standard deviation of 26.6% of Verisk Analytics is greater, thus worse.
• Compared with SPY (17.5%) in the period of the last 3 years, the historical 30 days volatility of 22.6% is higher, thus worse.

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 risk over 5 years of Verisk Analytics is 18.8%, which is greater, thus worse compared to the benchmark SPY (15%) in the same period.
• Looking at downside risk in of 15.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.3%).

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 Sharpe Ratio of 0.38 of Verisk Analytics is smaller, thus worse.
• Looking at ratio of return and volatility (Sharpe) in of 0.4 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.4).

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 0.53 in the last 5 years of Verisk Analytics, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.76)
• Compared with SPY (0.56) in the period of the last 3 years, the excess return divided by the downside deviation of 0.57 is higher, thus better.

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.'

• The Ulcer Ratio over 5 years of Verisk Analytics is 12 , which is greater, thus worse compared to the benchmark SPY (9.33 ) in the same period.
• During the last 3 years, the Downside risk index is 11 , which is larger, thus worse than the value of 8.89 from the benchmark.

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.'

• Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -30.9 days of Verisk Analytics is larger, thus better.
• Compared with SPY (-22.4 days) in the period of the last 3 years, the maximum drop from peak to valley of -28 days is lower, thus worse.

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.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 396 days of Verisk Analytics is smaller, thus better.
• Looking at maximum days under water in of 278 days in the period of the last 3 years, we see it is relatively lower, thus better 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 95 days in the last 5 years of Verisk Analytics, we see it is relatively lower, thus better in comparison to the benchmark SPY (122 days)
• Compared with SPY (114 days) in the period of the last 3 years, the average days under water of 74 days is smaller, thus better.