Description

CA, Inc., doing business as CA technologies, develops, markets, delivers, and licenses software products and services in the United States and internationally. It operates through three segments: Mainframe Solutions, Enterprise Solutions, and Services. The Mainframe Solutions segment offers solutions for the IBM z Systems platform, which runs various mission critical business applications. Its mainframe solutions enable customers enhance economics by increasing throughput and lowering cost per transaction; increasing business agility through DevOps tooling and processes; increasing reliability and availability of operations through machine intelligence and automation solutions; and protecting enterprise data with security and compliance. The Enterprise Solutions segment provides a range of software planning, development, and management tools for mobile, cloud, and distributed computing environments. It primarily provides customers secure application development, infrastructure management, automation, and identity-centric security solutions. The Services segment offers various services, such as consulting, implementation, application management, education, and support services to commercial and government customers for implementation and adoption of its software solutions. The company serves banks, insurance companies, other financial services providers, government agencies, information technology service providers, telecommunication providers, transportation companies, manufacturers, technology companies, retailers, educational organizations, and health care institutions. It sells its products through direct sales force, as well as through various partner channels comprising resellers, service providers, system integrators, managed service providers, and technology partners. The company was formerly known as Computer Associates International, Inc. and changed its name to CA, Inc. in 2006. CA, Inc. was founded in 1974 and is headquartered in New York, New York.

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:
  • Compared with the benchmark SPY (122.1%) in the period of the last 5 years, the total return, or performance of 63% of CA Technologies is lower, thus worse.
  • Looking at total return in of 78.1% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (64.6%).

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:
  • Compared with the benchmark SPY (17.3%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 10.3% of CA Technologies is lower, thus worse.
  • Looking at annual return (CAGR) in of 21.2% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (18.1%).

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:
  • Compared with the benchmark SPY (18.7%) in the period of the last 5 years, the 30 days standard deviation of 21.3% of CA Technologies is higher, thus worse.
  • Looking at volatility in of 22.7% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (22.5%).

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:
  • The downside risk over 5 years of CA Technologies is 14%, which is higher, thus worse compared to the benchmark SPY (13.6%) in the same period.
  • Compared with SPY (16.4%) in the period of the last 3 years, the downside risk of 13.9% is lower, thus better.

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.'

Which means for our asset as example:
  • The ratio of return and volatility (Sharpe) over 5 years of CA Technologies is 0.36, which is lower, thus worse compared to the benchmark SPY (0.79) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.82 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.69).

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 (1.09) in the period of the last 5 years, the downside risk / excess return profile of 0.56 of CA Technologies is smaller, thus worse.
  • During the last 3 years, the excess return divided by the downside deviation is 1.35, which is higher, thus better than the value of 0.95 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.'

Using this definition on our asset we see for example:
  • Looking at the Downside risk index of 8.7 in the last 5 years of CA Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (5.58 )
  • During the last 3 years, the Downside risk index is 5.25 , which is smaller, thus better than the value of 6.83 from the benchmark.

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:
  • Looking at the maximum drop from peak to valley of -24 days in the last 5 years of CA Technologies, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
  • Looking at maximum reduction from previous high in of -13.8 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (-33.7 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). 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'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of CA Technologies is 314 days, which is larger, thus worse compared to the benchmark SPY (139 days) in the same period.
  • Looking at maximum days under water in of 223 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (139 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 106 days in the last 5 years of CA Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (33 days)
  • Compared with SPY (35 days) in the period of the last 3 years, the average time in days below previous high water mark of 59 days is larger, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of CA Technologies 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.