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:
  • The total return over 5 years of Fiserv is 55.2%, which is lower, thus worse compared to the benchmark SPY (60.7%) in the same period.
  • Looking at total return in of -6.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (29.5%).

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 (10%) in the period of the last 5 years, the annual performance (CAGR) of 9.2% of Fiserv is lower, thus worse.
  • Compared with SPY (9%) in the period of the last 3 years, the annual performance (CAGR) of -2.3% is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (20.8%) in the period of the last 5 years, the historical 30 days volatility of 30% of Fiserv is higher, thus worse.
  • Compared with SPY (24%) in the period of the last 3 years, the historical 30 days volatility of 34.7% is higher, thus worse.

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 deviation over 5 years of Fiserv is 21.4%, which is higher, thus worse compared to the benchmark SPY (15.3%) in the same period.
  • During the last 3 years, the downside volatility is 25%, which is higher, thus worse than the value of 17.6% 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 (0.36) in the period of the last 5 years, the Sharpe Ratio of 0.22 of Fiserv is lower, thus worse.
  • Compared with SPY (0.27) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.14 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.49) in the period of the last 5 years, the excess return divided by the downside deviation of 0.31 of Fiserv is lower, thus worse.
  • Compared with SPY (0.37) in the period of the last 3 years, the excess return divided by the downside deviation of -0.19 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Ratio of 13 in the last 5 years of Fiserv, we see it is relatively higher, thus worse in comparison to the benchmark SPY (7.52 )
  • Looking at Downside risk index in of 16 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (8.81 ).

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:
  • The maximum drop from peak to valley over 5 years of Fiserv is -37.8 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • 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 Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:
  • Looking at the maximum days under water of 357 days in the last 5 years of Fiserv, we see it is relatively larger, thus worse in comparison to the benchmark SPY (182 days)
  • Compared with SPY (182 days) in the period of the last 3 years, the maximum days under water of 357 days is larger, thus worse.

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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of Fiserv is 96 days, which is higher, thus worse compared to the benchmark SPY (45 days) in the same period.
  • Looking at average days under water in of 141 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (43 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, 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.