Income Fund Of Fund Market Value
| AMEFX Fund | USD 23.33 0.03 0.13% |
| Symbol | Income |
Income Fund 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Income Fund's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Income Fund.
| 03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in Income Fund on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding Income Fund Of or generate 0.0% return on investment in Income Fund over 30 days. Income Fund is related to or competes with American Mutual, American Mutual, American Funds, American Funds, New Economy, New Economy, and American High-income. Normally the fund invests primarily in income-producing securities More
Income Fund Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Income Fund's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Income Fund Of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5839 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 2.51 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 0.7131 |
Income Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Income Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Income Fund's standard deviation. In reality, there are many statistical measures that can use Income Fund historical prices to predict the future Income Fund's volatility.| Risk Adjusted Performance | 0.0171 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0079 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Income Fund's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Income Fund Backtested Returns
We consider Income Fund very steady. Income Fund holds Efficiency (Sharpe) Ratio of 0.062, which attests that the entity had a 0.062% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Income Fund, which you can use to evaluate the volatility of the entity. Please check out Income Fund's Market Risk Adjusted Performance of 0.0179, downside deviation of 0.5839, and Risk Adjusted Performance of 0.0171 to validate if the risk estimate we provide is consistent with the expected return of 0.03%. The fund retains a Market Volatility (i.e., Beta) of 0.7, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Income Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Income Fund is expected to be smaller as well.
Auto-correlation | -0.58 |
Good reverse predictability
Income Fund Of has good reverse predictability. Overlapping area represents the amount of predictability between Income Fund time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Income Fund price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Income Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Income Fund lagged returns against current returns
Autocorrelation, which is Income Fund mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Income Fund's mutual fund expected returns. We can calculate the autocorrelation of Income Fund returns to help us make a trade decision. For example, suppose you find that Income Fund has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Income Fund regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Income Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Income Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Income Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Income Fund Lagged Returns
When evaluating Income Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Income Fund mutual fund have on its future price. Income Fund autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Income Fund autocorrelation shows the relationship between Income Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Income Fund Of.
Regressed Prices |
| Timeline |
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 Income Fund 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, Income Fund's short interest history, or implied volatility extrapolated from Income Fund options trading.
Pair Trading with Income Fund
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 Income Fund 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 Income Fund will appreciate offsetting losses from the drop in the long position's value.Moving together with Income Mutual Fund
| 1.0 | AMECX | Income Fund | PairCorr |
| 0.92 | RNEBX | New World Fund | PairCorr |
| 0.94 | AMFCX | American Mutual | PairCorr |
| 0.94 | AMFFX | American Mutual | PairCorr |
| 0.98 | RNCCX | American Funds Me | PairCorr |
The ability to find closely correlated positions to Income Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Income Fund 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 Income Fund - 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 Income Fund Of to buy it.
The correlation of Income Fund 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 Income Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Income Fund 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 Income Fund 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.Check out Income Fund Correlation, Income Fund Volatility and Income Fund Alpha and Beta module to complement your research on Income Fund. Note that the Income Fund information on this page should be used as a complementary analysis to other Income Fund'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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Income Fund technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.