Description

Cognizant Technology Solutions Corporation, a professional services company, provides consulting and technology, and outsourcing services in North America, Europe, and internationally. The company operates through four segments: Financial Services; Healthcare; Products and Resources; and Communications, Media and Technology. It offers analytics and artificial intelligence, digital engineering, Internet of Things, interactive, and cloud services and solutions; and application development, systems integration, application testing and maintenance, infrastructure, and business process services. The company also develops, licenses, implements, and supports proprietary and third-party software products and platforms for the healthcare industry. In addition, it offers revenue cycle management solutions to the healthcare industry; business advisory and data analytics services; and salesforce services. Further, the company develops custom cloud-based software and platforms; and provides consulting services that enable companies to plan, implement, and optimize automated cloud-based business processes and technologies. It serves banking and insurance, healthcare and life sciences, retail and consumer goods, manufacturing, logistics, travel and hospitality, energy and utilities, communications and media, and technology industries. The company markets and sells its services through professional staff, senior management, and direct sales personnel. Cognizant Technology Solutions Corporation has collaboration with Verily Life Sciences to facilitate COVID-19 testing across the United States. Cognizant Technology Solutions Corporation was founded in 1994 and is headquartered in Teaneck, New Jersey.

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, or increase in value of 13.8% in the last 5 years of Cognizant, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (100.4%)
  • During the last 3 years, the total return, or increase in value is 60.2%, which is lower, thus worse than the value of 87.6% 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:
  • Looking at the annual return (CAGR) of 2.6% in the last 5 years of Cognizant, we see it is relatively lower, thus worse in comparison to the benchmark SPY (15%)
  • Compared with SPY (23.5%) in the period of the last 3 years, the annual return (CAGR) of 17.1% is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of Cognizant is 25.8%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at volatility in of 23.5% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (15.4%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside volatility of 18.9% of Cognizant is higher, thus worse.
  • During the last 3 years, the downside volatility is 15.6%, which is larger, thus worse than the value of 10.2% 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 (0.73) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.01 of Cognizant is smaller, thus worse.
  • During the last 3 years, the Sharpe Ratio is 0.62, which is lower, thus worse than the value of 1.36 from the benchmark.

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:
  • Looking at the ratio of annual return and downside deviation of 0.01 in the last 5 years of Cognizant, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (1.06)
  • Compared with SPY (2.05) in the period of the last 3 years, the excess return divided by the downside deviation of 0.93 is lower, thus worse.

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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of Cognizant is 21 , which is higher, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • Compared with SPY (3.51 ) in the period of the last 3 years, the Downside risk index of 12 is higher, thus worse.

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 Cognizant is -43.8 days, which is smaller, 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 drop from peak to valley of -27 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.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Cognizant is 726 days, which is larger, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 216 days is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 244 days of Cognizant is higher, thus worse.
  • Looking at average days under water in of 72 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (21 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 Cognizant are hypothetical and do not account for slippage, fees or taxes.