Description

Willis Towers Watson Public Limited Company operates as an advisory, broking, and solutions company worldwide. The company's Human Capital and Benefits segment offers actuarial support, plan design, and administrative services for traditional pension and retirement savings plans; plan management consulting, broking, and administration services for health and group benefit programs; and benefits outsourcing services. It also provides advice, data, software, and products to address clients' total rewards and talent issues. Its Corporate Risk and Broking segment offers risk advice, insurance brokerage, and consulting services in the areas of property and casualty, financial lines, and transport. The company's Investment, Risk and Reinsurance segment offers capital markets-based products to insurance and reinsurance companies; software and technology, risk and capital management, products and pricing, financial and regulatory reporting, financial and capital modeling, merger and acquisition, outsourcing, and business management services; investment advice and solutions to pension funds and institutional investors; wholesale insurance broking services to retail and wholesale brokers; and underwriting and capital management, capital market, and advisory and brokerage services. Its Benefits Delivery and Administration segment provides primary medical and ancillary benefit exchange, and outsourcing services to active employees and retirees in the group and individual markets. This segment delivers healthcare and reimbursement accounts, including health savings accounts, health reimbursement arrangements, flexible spending accounts, and other consumer-directed accounts. The company was formerly known as Willis Group Holdings Public Limited Company and changed its name to Willis Towers Watson Public Limited Company in January 2016. Willis Towers Watson Public Limited Company was founded in 1828 and is based in London, the United Kingdom.

Statistics (YTD)

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

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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 96.2% in the last 5 years of Willis Towers Watson, we see it is relatively lower, thus worse in comparison to the benchmark SPY (100.7%)
  • During the last 3 years, the total return is 59.1%, which is greater, thus better than the value of 33.2% 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.'

Which means for our asset as example:
  • The annual return (CAGR) over 5 years of Willis Towers Watson is 14.4%, which is lower, thus worse compared to the benchmark SPY (15%) in the same period.
  • Looking at annual return (CAGR) in of 16.7% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (10%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of 25.5% in the last 5 years of Willis Towers Watson, we see it is relatively higher, thus worse in comparison to the benchmark SPY (20.9%)
  • Compared with SPY (17.3%) in the period of the last 3 years, the volatility of 29.7% is greater, thus worse.

DownVol:

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

Applying this definition to our asset in some examples:
  • The downside volatility over 5 years of Willis Towers Watson is 17.8%, which is greater, thus worse compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (12%) in the period of the last 3 years, the downside risk of 20.7% is larger, thus worse.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.6) in the period of the last 5 years, the Sharpe Ratio of 0.47 of Willis Towers Watson is smaller, thus worse.
  • Compared with SPY (0.44) in the period of the last 3 years, the Sharpe Ratio of 0.48 is larger, 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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Willis Towers Watson is 0.67, which is lower, thus worse compared to the benchmark SPY (0.83) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.68, which is greater, thus better than the value of 0.62 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Ulcer Index of 7.99 of Willis Towers Watson is lower, thus better.
  • Looking at Ulcer Index in of 9.23 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

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.'

Which means for our asset as example:
  • The maximum drop from peak to valley over 5 years of Willis Towers Watson is -32.9 days, which is greater, thus better compared to the benchmark SPY (-33.7 days) in the same period.
  • During the last 3 years, the maximum reduction from previous high is -32.9 days, which is smaller, thus worse than the value of -24.5 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). 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'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Willis Towers Watson is 252 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum days below previous high of 252 days is smaller, thus better.

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 days below previous high of 60 days in the last 5 years of Willis Towers Watson, we see it is relatively lower, thus better in comparison to the benchmark SPY (123 days)
  • Looking at average days below previous high in of 77 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (180 days).

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 Willis Towers Watson are hypothetical and do not account for slippage, fees or taxes.