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.'

Using this definition on our asset we see for example:
  • Looking at the total return, or performance of 150.7% in the last 5 years of Fiserv, we see it is relatively greater, thus better in comparison to the benchmark SPY (120.8%)
  • Compared with SPY (66.3%) in the period of the last 3 years, the total return of 76.4% is larger, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the annual return (CAGR) of 20.2% of Fiserv is larger, thus better.
  • Looking at compounded annual growth rate (CAGR) in of 20.8% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (18.5%).

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:
  • The historical 30 days volatility over 5 years of Fiserv is 26.9%, which is higher, thus worse compared to the benchmark SPY (18.7%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 32.5%, which is greater, thus worse than the value of 22.4% from the benchmark.

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:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the downside risk of 18.8% of Fiserv is greater, thus worse.
  • During the last 3 years, the downside volatility is 22.7%, which is larger, thus worse than the value of 16.3% from the benchmark.

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:
  • Compared with the benchmark SPY (0.78) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.66 of Fiserv is lower, thus worse.
  • Looking at risk / return profile (Sharpe) in of 0.56 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.71).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (1.08) in the period of the last 5 years, the excess return divided by the downside deviation of 0.94 of Fiserv is lower, thus worse.
  • 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 0.98 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Downside risk index of 8.68 of Fiserv is higher, thus worse.
  • Looking at Downside risk index in of 11 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (6.83 ).

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 smaller, thus worse.
  • Looking at maximum DrawDown in of -37.8 days in the period of the last 3 years, we see it is relatively lower, thus worse 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) in days.'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 276 days in the last 5 years of Fiserv, we see it is relatively higher, thus worse in comparison to the benchmark SPY (139 days)
  • Looking at maximum days under water in of 276 days in the period of the last 3 years, we see it is relatively higher, 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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of Fiserv is 53 days, which is greater, thus worse compared to the benchmark SPY (33 days) in the same period.
  • Looking at average time in days below previous high water mark in of 67 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (35 days).

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 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.