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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of 54.2% in the last 5 years of Fiserv, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (115%)
  • Looking at total return in of 5.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (90.2%).

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.'

Using this definition on our asset we see for example:
  • Looking at the annual performance (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 (16.6%)
  • Looking at annual performance (CAGR) in of 1.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (24%).

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 volatility over 5 years of Fiserv is 31.2%, which is larger, thus worse compared to the benchmark SPY (17.2%) in the same period.
  • Compared with SPY (16.5%) in the period of the last 3 years, the volatility of 28.5% is larger, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 22% of Fiserv is greater, thus worse.
  • During the last 3 years, the downside deviation is 20.3%, which is higher, thus worse than the value of 10.7% 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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Fiserv is 0.21, which is lower, thus worse compared to the benchmark SPY (0.82) in the same period.
  • Compared with SPY (1.31) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.02 is lower, thus worse.

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Which means for our asset as example:
  • Looking at the downside risk / excess return profile of 0.3 in the last 5 years of Fiserv, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.19)
  • Looking at excess return divided by the downside deviation in of -0.03 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (2.02).

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:
  • Looking at the Downside risk index of 14 in the last 5 years of Fiserv, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.42 )
  • Looking at Ulcer Ratio in of 15 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.65 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of Fiserv is -37.8 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -30.2 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

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'

Using this definition on our asset we see for example:
  • Looking at the maximum time in days below previous high water mark of 533 days in the last 5 years of Fiserv, we see it is relatively greater, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 533 days, which is higher, thus worse than the value of 87 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days below previous high of 159 days of Fiserv is greater, thus worse.
  • Looking at average time in days below previous high water mark in of 205 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (21 days).

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 and do not account for slippage, fees or taxes.