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)

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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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Willis Towers Watson is 96.2%, which is greater, thus better compared to the benchmark SPY (90.1%) in the same period.
  • During the last 3 years, the total return is 59.1%, which is lower, thus worse than the value of 86.8% 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.'

Using this definition on our asset we see for example:
  • The annual performance (CAGR) over 5 years of Willis Towers Watson is 14.4%, which is larger, thus better compared to the benchmark SPY (13.8%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 16.7%, which is smaller, thus worse than the value of 23.2% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

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 greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at 30 days standard deviation in of 29.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.2%).

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.'

Which means for our asset as example:
  • Looking at the downside risk of 17.8% in the last 5 years of Willis Towers Watson, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.8%)
  • During the last 3 years, the downside deviation is 20.7%, which is greater, thus worse than the value of 10.1% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.66) in the period of the last 5 years, the Sharpe Ratio of 0.47 of Willis Towers Watson is lower, thus worse.
  • Looking at risk / return profile (Sharpe) in of 0.48 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.36).

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 (0.96) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.67 of Willis Towers Watson is smaller, thus worse.
  • 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 2.05 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Index of 7.99 in the last 5 years of Willis Towers Watson, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.45 )
  • During the last 3 years, the Downside risk index is 9.23 , which is higher, thus worse than the value of 3.22 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:
  • Looking at the maximum reduction from previous high of -32.9 days in the last 5 years of Willis Towers Watson, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -32.9 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.'

Using this definition on our asset we see for example:
  • 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.
  • Looking at maximum days below previous high in of 252 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 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.'

Applying this definition to our asset in some examples:
  • The average time in days below previous high water mark over 5 years of Willis Towers Watson is 60 days, which is lower, thus better compared to the benchmark SPY (118 days) in the same period.
  • Compared with SPY (17 days) in the period of the last 3 years, the average time in days below previous high water mark of 77 days is larger, thus worse.

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.