Description

Fiserv, Inc., together with its subsidiaries, provides financial services technology worldwide. Its First Data segment provides merchant acquiring, e-commerce, mobile commerce, and other business solutions; credit card and loan account processing, commercial payments, customer communications, plastics solutions, customer service, and other products; and various network solutions and security, and risk and fraud management solutions. The company's Payments and Industry Products segment offers electronic bill payment and presentment services; internet and mobile banking software and services; account-to-account transfers; person-to-person payment services; debit and credit card processing and services; payments infrastructure services; and other electronic payments software and services. This segment also offers card and print personalization services; investment account processing services for separately managed accounts; and fraud and risk management products and services. Its Financial Institution Services segment offers account processing, item processing and source capture, loan origination and servicing products, cash management and consulting services, and other products and services that support various types of financial transactions. This segment also provides ACH and treasury management, case management and resolution, and source capture optimization services to the financial services industry. The company also offers bank payment and liquidity management solutions, as well as Internet based mortgage software and mortgage lending technology solutions. It serves business, banks, governments, processors, credit unions, other financial institutions, merchants, and other clients. The company was founded in 1984 and is headquartered in Brookfield, Wisconsin.

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.'

Which means for our asset as example:
  • Looking at the total return of 54.2% in the last 5 years of Fiserv, we see it is relatively lower, thus worse in comparison to the benchmark SPY (87.4%)
  • Compared with SPY (25.4%) in the period of the last 3 years, the total return, or performance of 5.7% is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 9.1% in the last 5 years of Fiserv, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (13.4%)
  • During the last 3 years, the annual performance (CAGR) is 1.9%, which is lower, thus worse than the value of 7.8% 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.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of Fiserv is 31.2%, which is higher, thus worse compared to the benchmark SPY (20.9%) in the same period.
  • Looking at volatility in of 28.5% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.3%).

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • The downside volatility over 5 years of Fiserv is 22%, which is greater, thus worse compared to the benchmark SPY (15%) in the same period.
  • During the last 3 years, the downside risk is 20.3%, which is higher, thus worse 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:
  • The risk / return profile (Sharpe) over 5 years of Fiserv is 0.21, which is smaller, thus worse compared to the benchmark SPY (0.52) in the same period.
  • Compared with SPY (0.31) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.02 is smaller, thus worse.

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:
  • The downside risk / excess return profile over 5 years of Fiserv is 0.3, which is smaller, thus worse compared to the benchmark SPY (0.73) in the same period.
  • During the last 3 years, the downside risk / excess return profile is -0.03, which is lower, thus worse than the value of 0.44 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:
  • The Ulcer Ratio over 5 years of Fiserv is 14 , which is greater, thus worse compared to the benchmark SPY (9.33 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 15 , which is larger, thus worse than the value of 10 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -37.8 days of Fiserv is lower, thus worse.
  • Looking at maximum reduction from previous high in of -30.2 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 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) in days.'

Which means for our asset as example:
  • The maximum time in days below previous high water mark over 5 years of Fiserv is 533 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 time in days below previous high water mark of 533 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (123 days) in the period of the last 5 years, the average days below previous high of 159 days of Fiserv is larger, thus worse.
  • Compared with SPY (179 days) in the period of the last 3 years, the average days under water of 205 days is greater, thus worse.

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 Fiserv 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.