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:

'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:
  • Compared with the benchmark SPY (96.4%) in the period of the last 5 years, the total return, or performance of 33.6% of Cognizant is lower, thus worse.
  • Looking at total return in of -9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (28.9%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.5%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 6% of Cognizant is lower, thus worse.
  • Looking at annual return (CAGR) in of -3.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (8.9%).

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:
  • Compared with the benchmark SPY (21%) in the period of the last 5 years, the historical 30 days volatility of 31.5% of Cognizant is greater, thus worse.
  • Looking at 30 days standard deviation in of 26.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17.5%).

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 (15%) in the period of the last 5 years, the downside volatility of 22.3% of Cognizant is larger, thus worse.
  • Looking at downside risk in of 20.1% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.3%).

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 (0.57) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.11 of Cognizant is smaller, thus worse.
  • Compared with SPY (0.36) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.21 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.8) in the period of the last 5 years, the downside risk / excess return profile of 0.16 of Cognizant is lower, thus worse.
  • During the last 3 years, the downside risk / excess return profile is -0.28, which is lower, thus worse than the value of 0.52 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.'

Applying this definition to our asset in some examples:
  • Looking at the Downside risk index of 21 in the last 5 years of Cognizant, we see it is relatively greater, thus worse in comparison to the benchmark SPY (9.33 )
  • During the last 3 years, the Ulcer Index is 24 , which is larger, thus worse than the value of 10 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.'

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 lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -43.8 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 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 days below previous high over 5 years of Cognizant is 698 days, which is higher, thus worse 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 698 days is greater, 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 (122 days) in the period of the last 5 years, the average time in days below previous high water mark of 221 days of Cognizant is higher, thus worse.
  • During the last 3 years, the average days below previous high is 327 days, which is higher, thus worse than the value of 177 days from the benchmark.

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.