Description

Fiserv, Inc. - Common Stock

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 167.7% in the last 5 years of Fiserv, we see it is relatively larger, thus better in comparison to the benchmark SPY (60.9%)
  • Looking at total return in of 72.2% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (34.2%).

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 compounded annual growth rate (CAGR) of 21.8% in the last 5 years of Fiserv, we see it is relatively greater, thus better in comparison to the benchmark SPY (10%)
  • Compared with SPY (10.3%) in the period of the last 3 years, the annual return (CAGR) of 19.9% is larger, thus better.

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.'

Which means for our asset as example:
  • Looking at the historical 30 days volatility of 25.6% in the last 5 years of Fiserv, we see it is relatively greater, thus worse in comparison to the benchmark SPY (18.7%)
  • During the last 3 years, the historical 30 days volatility is 29.8%, which is larger, thus worse than the value of 21.5% from the benchmark.

DownVol:

'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:
  • The downside volatility over 5 years of Fiserv is 17.9%, which is larger, thus worse compared to the benchmark SPY (13.6%) in the same period.
  • Compared with SPY (15.7%) in the period of the last 3 years, the downside volatility of 21% is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • The risk / return profile (Sharpe) over 5 years of Fiserv is 0.75, which is larger, thus better compared to the benchmark SPY (0.4) in the same period.
  • During the last 3 years, the Sharpe Ratio is 0.58, which is larger, thus better than the value of 0.36 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk / excess return profile of 1.08 in the last 5 years of Fiserv, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.55)
  • Looking at ratio of annual return and downside deviation in of 0.83 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.5).

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 Ulcer Index of 6.25 in the last 5 years of Fiserv, we see it is relatively larger, thus worse in comparison to the benchmark SPY (5.82 )
  • Looking at Ulcer Index in of 7.16 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (6.86 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -37.8 days of Fiserv is lower, thus worse.
  • During the last 3 years, the maximum drop from peak to valley is -37.8 days, which is lower, thus worse than the value of -33.7 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) in days.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 140 days of Fiserv is lower, thus better.
  • Looking at maximum time in days below previous high water mark in of 82 days in the period of the last 3 years, we see it is relatively smaller, thus better 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.'

Using this definition on our asset we see for example:
  • The average days under water over 5 years of Fiserv is 25 days, which is smaller, thus better compared to the benchmark SPY (43 days) in the same period.
  • Looking at average days below previous high in of 21 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (39 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.