American Mutual Fund Net Asset

American Mutual Fund fundamentals help investors to digest information that contributes to American Mutual's financial success or failures. It also enables traders to predict the movement of American Mutual Fund. The fundamental analysis module provides a way to measure American Mutual's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to American Mutual mutual fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

American Mutual Fund Mutual Fund Net Asset Analysis

American Mutual's Net Asset is the current market value of a fund less its liabilities. In a nutshell, if the fund is liquidated or all of the assets is sold out, the net asset will be the amount that the shareholders would demand back from the fund.

Net Asset

 = 

Current Market Value

-

Current Liabilities

More About Net Asset | All Equity Analysis

Current American Mutual Net Asset

    
  40.15 B  
Most of American Mutual's fundamental indicators, such as Net Asset, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, American Mutual Fund is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
Competition
Based on the recorded statements, American Mutual Fund has a Net Asset of 40.15 B. This is much higher than that of the Category family and significantly higher than that of the Family category. The net asset for all United States funds is significantly lower than that of the firm.

American Net Asset Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses American Mutual's direct or indirect competition against its Net Asset to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of American Mutual could also be used in its relative valuation, which is a method of valuing American Mutual by comparing valuation metrics of similar companies.
American Mutual is currently under evaluation in net asset among similar funds.

Fund Asset Allocation for American Mutual

The fund consists of 90.87% investments in stocks, with the rest of investments allocated between bonds, cashand various exotic instruments.
Asset allocation divides American Mutual's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.

American Fundamentals

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.

Pair Trading with American Mutual

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if American Mutual position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in American Mutual will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to ConAgra Foods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ConAgra Foods when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ConAgra Foods - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ConAgra Foods to buy it.
The correlation of ConAgra Foods is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ConAgra Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ConAgra Foods moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ConAgra Foods can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Note that the American Mutual information on this page should be used as a complementary analysis to other American Mutual's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.

Other Consideration for investing in American Mutual Fund

If you are still planning to invest in American Mutual check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the American Mutual's history and understand the potential risks before investing.
Equity Valuation
Check real value of public entities based on technical and fundamental data
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
AI Investment Finder
Use AI to screen and filter profitable investment opportunities
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Volatility Analysis
Get historical volatility and risk analysis based on latest market data