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:

'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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Fiserv is 108.6%, which is lower, thus worse compared to the benchmark SPY (121.6%) in the same period.
  • Looking at total return, or increase in value in of 52.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (64.5%).

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:
  • Looking at the annual return (CAGR) of 15.9% in the last 5 years of Fiserv, we see it is relatively lower, thus worse in comparison to the benchmark SPY (17.3%)
  • Looking at annual return (CAGR) in of 15.1% in the period of the last 3 years, we see it is relatively lower, thus worse 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.'

Using this definition on our asset we see for example:
  • Looking at the 30 days standard deviation of 27.1% in the last 5 years of Fiserv, we see it is relatively higher, thus worse in comparison to the benchmark SPY (18.7%)
  • During the last 3 years, the volatility is 32.8%, which is greater, thus worse than the value of 22.5% 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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 19.1% in the last 5 years of Fiserv, we see it is relatively higher, thus worse in comparison to the benchmark SPY (13.5%)
  • Compared with SPY (16.4%) in the period of the last 3 years, the downside volatility of 23.1% is greater, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • Looking at the Sharpe Ratio of 0.49 in the last 5 years of Fiserv, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.79)
  • During the last 3 years, the Sharpe Ratio is 0.38, which is lower, thus worse than the value of 0.69 from the benchmark.

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 excess return divided by the downside deviation over 5 years of Fiserv is 0.7, which is lower, thus worse compared to the benchmark SPY (1.09) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 0.55, which is smaller, thus worse than the value of 0.95 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:
  • Looking at the Ulcer Ratio of 9.04 in the last 5 years of Fiserv, we see it is relatively greater, thus worse in comparison to the benchmark SPY (5.58 )
  • Looking at Ulcer Ratio in of 11 in the period of the last 3 years, we see it is relatively larger, 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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown of -37.8 days in the last 5 years of Fiserv, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum DrawDown of -37.8 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) in days.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Fiserv is 276 days, which is greater, thus worse compared to the benchmark SPY (139 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 276 days, which is higher, thus worse than the value of 139 days from the benchmark.

AveDuration:

'The Average 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. 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:
  • Compared with the benchmark SPY (33 days) in the period of the last 5 years, the average days under water of 52 days of Fiserv is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 69 days, which is higher, thus worse than the value of 35 days from the benchmark.

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.