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:

'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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (94.9%) in the period of the last 5 years, the total return, or performance of % of CA Technologies is smaller, thus worse.
  • Looking at total return in of % in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (40.7%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.3%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of % of CA Technologies is lower, thus worse.
  • Looking at annual return (CAGR) in of % in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (12.1%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of % in the last 5 years of CA Technologies, we see it is relatively smaller, thus better in comparison to the benchmark SPY (21%)
  • Compared with SPY (17.3%) in the period of the last 3 years, the historical 30 days volatility of % is smaller, thus better.

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.'

Applying this definition to our asset in some examples:
  • The downside deviation over 5 years of CA Technologies is %, which is lower, thus better compared to the benchmark SPY (15%) in the same period.
  • During the last 3 years, the downside deviation is %, which is lower, thus better than the value of 12.1% from the benchmark.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the Sharpe Ratio of of CA Technologies is lower, thus worse.
  • Looking at Sharpe Ratio in of in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.56).

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of in the last 5 years of CA Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.79)
  • Looking at excess return divided by the downside deviation in of in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.8).

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:
  • Compared with the benchmark SPY (9.33 ) in the period of the last 5 years, the Ulcer Index of of CA Technologies is smaller, thus better.
  • Compared with SPY (8.61 ) in the period of the last 3 years, the Ulcer Index of is lower, thus better.

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 reduction from previous high over 5 years of CA Technologies is days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-22.1 days) in the period of the last 3 years, the maximum DrawDown of 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'

Applying this definition to our asset in some examples:
  • The maximum days below previous high over 5 years of CA Technologies is days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days under water in of days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (325 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:
  • The average time in days below previous high water mark over 5 years of CA Technologies is days, which is lower, thus better compared to the benchmark SPY (121 days) in the same period.
  • During the last 3 years, the average days under water is days, which is smaller, thus better than the value of 89 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 CA Technologies are hypothetical and do not account for slippage, fees or taxes.