American Mutual Fund Statistic Functions Beta

AMFFX Fund  USD 59.44  -0.69  -1.15%   
The statistic functions module provides an execution environment for Beta function and related indicators on American Mutual. Signals here center on statistical functions describing dispersion and variability alongside volatility and performance references.Please specify Time Period to run the technical study.

The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on American Mutual correlated with the market. If Beta is less than 0 American Mutual generally moves in the opposite direction as compared to the market. If American Mutual Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one American Mutual is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of American Mutual is generally in the same direction as the market. If Beta > 1 American Mutual moves generally in the same direction as, but more than the movement of the benchmark.

American Mutual Technical Analysis Modules

Most technical analysis of American Mutual help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for American from various momentum indicators to cycle indicators. When you analyze American charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Mutual Fund Overview, Methodology & Data Sources

Performance context is typically read against category peers and stated objectives. The five-year return stands at 11.0%.

Methodology

Unless otherwise specified, data for American Mutual Fund is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. American Mutual Fund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

American Mutual Fund may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards American Mutual in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, American Mutual's short interest history, or implied volatility extrapolated from American Mutual options trading.

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