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:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 96.2% in the last 5 years of Willis Towers Watson, we see it is relatively larger, thus better in comparison to the benchmark SPY (67.9%)
  • Compared with SPY (44.5%) in the period of the last 3 years, the total return, or increase in value of 59.1% is higher, thus better.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (10.9%) in the period of the last 5 years, the annual return (CAGR) of 14.4% of Willis Towers Watson is larger, thus better.
  • Looking at compounded annual growth rate (CAGR) in of 16.7% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (13.1%).

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 volatility over 5 years of Willis Towers Watson is 25.5%, which is larger, thus worse compared to the benchmark SPY (21.4%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 29.7%, which is greater, thus worse than the value of 18.7% 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.'

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 (15.4%)
  • Compared with SPY (13.3%) in the period of the last 3 years, the downside deviation 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.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of Willis Towers Watson is 0.47, which is higher, thus better compared to the benchmark SPY (0.39) in the same period.
  • During the last 3 years, the Sharpe Ratio is 0.48, which is lower, thus worse than the value of 0.56 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.55) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.67 of Willis Towers Watson is greater, thus better.
  • During the last 3 years, the excess return divided by the downside deviation is 0.68, which is lower, thus worse than the value of 0.79 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.'

Which means for our asset as example:
  • The Ulcer Index over 5 years of Willis Towers Watson is 7.99 , which is lower, thus better compared to the benchmark SPY (9.47 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 9.23 , which is lower, thus better than the value of 10 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The maximum DrawDown over 5 years of Willis Towers Watson is -32.9 days, which is higher, thus better compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -32.9 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-24.5 days).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (354 days) in the period of the last 5 years, the maximum days below previous high of 252 days of Willis Towers Watson is smaller, thus better.
  • Compared with SPY (354 days) in the period of the last 3 years, the maximum days below previous high of 252 days is lower, 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.'

Applying this definition to our asset in some examples:
  • 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 (79 days)
  • Looking at average time in days below previous high water mark in of 77 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (102 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, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.