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.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of Cognizant is 9.4%, which is lower, thus worse compared to the benchmark SPY (95.4%) in the same period.
  • During the last 3 years, the total return, or performance is 52.5%, which is lower, thus worse than the value of 85.5% 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 performance (CAGR) over 5 years of Cognizant is 1.8%, which is lower, thus worse compared to the benchmark SPY (14.4%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 15.2%, which is lower, thus worse than the value of 23% from the benchmark.

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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the 30 days standard deviation of 25.8% of Cognizant is higher, thus worse.
  • Compared with SPY (15.3%) in the period of the last 3 years, the 30 days standard deviation of 23.5% is higher, thus worse.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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 deviation of 18.9% in the last 5 years of Cognizant, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.8%)
  • Looking at downside volatility in of 15.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.2%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.7) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.03 of Cognizant is smaller, thus worse.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.54, which is lower, thus worse than the value of 1.34 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.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of Cognizant is -0.04, which is smaller, thus worse compared to the benchmark SPY (1.01) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 0.81, which is lower, thus worse than the value of 2.01 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 Ulcer Index of 21 in the last 5 years of Cognizant, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.42 )
  • Compared with SPY (3.51 ) in the period of the last 3 years, the Ulcer Index of 12 is larger, 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.'

Which means for our asset as example:
  • Looking at the maximum reduction from previous high of -43.8 days in the last 5 years of Cognizant, we see it is relatively smaller, 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 -27 days is smaller, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 726 days of Cognizant is higher, thus worse.
  • Looking at maximum days below previous high in of 220 days in the period of the last 3 years, we see it is relatively higher, 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.'

Using this definition on our asset we see for example:
  • Looking at the average days below previous high of 244 days in the last 5 years of Cognizant, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
  • During the last 3 years, the average time in days below previous high water mark is 73 days, which is larger, thus worse than the value of 21 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.