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:

'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 performance over 5 years of Willis Towers Watson is 96.2%, which is lower, thus worse compared to the benchmark SPY (115.1%) in the same period.
  • Looking at total return, or performance in of 59.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (71.1%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (16.6%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 14.4% of Willis Towers Watson is lower, thus worse.
  • During the last 3 years, the annual return (CAGR) is 16.7%, which is lower, thus worse than the value of 19.7% from the benchmark.

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:
  • The historical 30 days volatility over 5 years of Willis Towers Watson is 25.5%, which is higher, thus worse compared to the benchmark SPY (17.5%) in the same period.
  • Looking at volatility in of 29.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.5%).

DownVol:

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

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of Willis Towers Watson is 17.8%, which is larger, thus worse compared to the benchmark SPY (12.1%) in the same period.
  • During the last 3 years, the downside volatility is 20.7%, which is greater, thus worse than the value of 11.5% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the ratio of return and volatility (Sharpe) of 0.47 in the last 5 years of Willis Towers Watson, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.8)
  • Looking at risk / return profile (Sharpe) in of 0.48 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.98).

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.'

Applying this definition to our asset in some examples:
  • 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 (1.17) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.68, which is lower, thus worse than the value of 1.49 from the benchmark.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of Willis Towers Watson is 7.99 , which is lower, thus better compared to the benchmark SPY (8.48 ) in the same period.
  • During the last 3 years, the Ulcer Index is 9.23 , which is larger, thus worse than the value of 5.31 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.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of Willis Towers Watson is -32.9 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum reduction from previous high is -32.9 days, which is lower, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 252 days of Willis Towers Watson is lower, thus better.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 252 days is larger, 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.'

Which means for our asset as example:
  • Looking at the average days under water of 60 days in the last 5 years of Willis Towers Watson, we see it is relatively smaller, thus better in comparison to the benchmark SPY (120 days)
  • Looking at average days under water in of 77 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (47 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.