River Road Small Cap Value Fund (ARSIX) - AMG Wealth (2024)

Alpha is a measure of performance on a risk-adjusted basis. Alpha takes the volatility (price risk) of a security or mutual fund and compares its risk-adjusted performance to a benchmark index. The excess return of the security or fund relative to the return of the benchmark index is a fund's alpha.

Standard Deviation is a measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard deviation is calculated as the square root of variance.

Sharpe Ratio is a risk-adjusted measure developed by William Sharpe. It is calculated using standard deviation and excess return to determine reward per unit of risk. First, the average monthly return of the 90-day Treasury bill (over a 36-month period) is subtracted from the portfolio's average monthly return. The difference in total return represents the portfolio's excess return beyond that of the 90-day Treasury bill, a risk-free investment. An arithmetic annualized excess return is then calculated by multiplying this monthly return by 12. To show a relationship between excess return and risk, this number is then divided by the standard deviation of the portfolio's annualized excess returns. The higher the Sharpe ratio, the better the portfolio's historical risk-adjusted performance.

Upside Capture Ratio (%) is a measure of a manager's performance in up markets relative to a particular benchmark. An up market is one in which the market's quarterly (or monthly) return is greater than or equal to zero. For example, a ratio of 50% means that the portfolio's value increased half as much as its benchmark index during up markets.

Downside Capture Ratio (%) measures a manager's performance in down markets relative to a particular benchmark. A down market is one in which the market's quarterly (or monthly) return is less than zero. For example, a ratio of 50% means that the portfolio's value fell half as much as its benchmark index during down markets.

Beta measures the relationship between the portfolio's excess return over T-bills (representing a risk-free rate) relative to the excess return of the portfolio's benchmark. A low beta does not imply that the portfolio has a low level of volatility; rather, a low beta means that the portfolio's market-related risk is low. Beta is often referred to as systematic risk.

R-Squared ranges from 0 to 100 and reflects the percentage of a portfolio's movements that are explained by movements in its benchmark index. A portfolio with an R-squared of 100 means that all movement is completely explained by benchmark index movement. Thus, a portfolio that invests only in S&P 500 stocks will have an R-squared very close to 100. Conversely, a low R-squared indicates that very little of the portfolio's movement is explained by benchmark movement. An R-squared measure of 35, for example, means that movements in its benchmark index can explain only 35% of the portfolio's movements. R-squared is used to ascertain the significance of a particular beta or alpha and generally a higher R-squared will indicate more useful alpha and beta figures.

Tracking Error (%) , which is often referred to as the active risk of the portfolio, measures how closely a manager's returns track the returns of a benchmark index. Specifically, tracking error measures the standard deviation of the excess returns a portfolio generates compared to its benchmark. This gives an indication of the volatility of a portfolio versus its benchmark. If a manager tracks a benchmark closely, then tracking error will be low. If a manager tracks a benchmark perfectly, then tracking error will be zero.

Information Ratio s a ratio of portfolio returns above the returns of a benchmark (usually an index) to the volatility of those returns. The information ratio (IR) measures a portfolio manager's ability to generate excess returns relative to a benchmark, but also attempts to identify the consistency of the investor. This ratio will identify if a manager has beaten the benchmark by a lot in a few months or a little every month. The higher the IR, the more consistent a manager is, and consistency is an ideal trait.

Treynor Ratio (%) , which was developed by Jack Treynor, measures reward per unit of beta risk. It measures returns earned in excess of that which could have been earned on a less risk investment per each unit of market risk. The Treynor Ratio relates the difference between the portfolio return and the risk-free rate to the portfolio beta for a given time period.

Max 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.