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)

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.'

Applying this definition to our asset in some examples:
  • The total return, or increase in value over 5 years of Cognizant is -39.2%, which is lower, thus worse compared to the benchmark SPY (86.7%) in the same period.
  • During the last 3 years, the total return is -37.5%, which is smaller, thus worse than the value of 74.9% from the benchmark.

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.'

Which means for our asset as example:
  • The annual return (CAGR) over 5 years of Cognizant is -9.5%, which is lower, thus worse compared to the benchmark SPY (13.4%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is -14.6%, which is smaller, thus worse than the value of 20.6% from the benchmark.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Looking at the volatility of 28.2% in the last 5 years of Cognizant, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.2%)
  • During the last 3 years, the historical 30 days volatility is 27.5%, which is larger, thus worse than the value of 15.3% from the benchmark.

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:
  • Looking at the downside risk of 21.2% in the last 5 years of Cognizant, we see it is relatively greater, thus worse in comparison to the benchmark SPY (11.8%)
  • Looking at downside volatility in of 20.5% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.3%).

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:
  • Looking at the Sharpe Ratio of -0.43 in the last 5 years of Cognizant, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.63)
  • During the last 3 years, the risk / return profile (Sharpe) is -0.62, which is lower, thus worse than the value of 1.19 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.92) in the period of the last 5 years, the excess return divided by the downside deviation of -0.57 of Cognizant is lower, thus worse.
  • During the last 3 years, the excess return divided by the downside deviation is -0.83, which is lower, thus worse than the value of 1.76 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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Ratio of 23 in the last 5 years of Cognizant, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.46 )
  • Compared with SPY (3.52 ) in the period of the last 3 years, the Downside risk index of 17 is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -56.1 days of Cognizant is smaller, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -56.1 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:
  • The maximum days under water 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 below previous high of 343 days is larger, 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.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 266 days in the last 5 years of Cognizant, we see it is relatively larger, thus worse in comparison to the benchmark SPY (119 days)
  • Looking at average time in days below previous high water mark in of 110 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (20 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.