Verisk Analytics (VRSK)

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.'

• Compared with the benchmark SPY (101.8%) in the period of the last 5 years, the total return, or performance of 15% of Verisk Analytics is smaller, thus worse.
• Looking at total return, or increase in value in of 20.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (82.6%).

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 2.9%, which is lower, thus worse compared to the benchmark SPY (15.1%) in the same period.
• Looking at annual performance (CAGR) in of 6.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (22.3%).

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.'

• Looking at the 30 days standard deviation of 23.1% in the last 5 years of Verisk Analytics, we see it is relatively higher, thus worse in comparison to the benchmark SPY (17.1%)
• During the last 3 years, the volatility is 21.6%, which is greater, thus worse than the value of 15.5% from the benchmark.

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.'

• Looking at the downside risk of 17.2% in the last 5 years of Verisk Analytics, 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 risk of 15.9% is larger, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

• The ratio of return and volatility (Sharpe) over 5 years of Verisk Analytics is 0.02, which is lower, thus worse compared to the benchmark SPY (0.74) in the same period.
• During the last 3 years, the risk / return profile (Sharpe) is 0.19, which is smaller, thus worse than the value of 1.28 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.'

• The downside risk / excess return profile over 5 years of Verisk Analytics is 0.02, which is lower, thus worse compared to the benchmark SPY (1.07) in the same period.
• Compared with SPY (1.92) in the period of the last 3 years, the excess return divided by the downside deviation of 0.25 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.'

• Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Index of 13 of Verisk Analytics is greater, thus worse.
• Compared with SPY (3.57 ) in the period of the last 3 years, the Downside risk index of 9.74 is higher, thus worse.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

• The maximum drop from peak to valley over 5 years of Verisk Analytics is -35.1 days, which is lower, 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 DrawDown of -35.1 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 396 days of Verisk Analytics is lower, thus better.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 132 days is higher, 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 under water over 5 years of Verisk Analytics is 99 days, which is lower, thus better compared to the benchmark SPY (120 days) in the same period.
• During the last 3 years, the average days below previous high is 32 days, which is larger, thus worse than the value of 21 days from the benchmark.