American Funds Income Fund Market Value
RNCCX Fund | USD 12.61 0.06 0.48% |
Symbol | American |
American Funds '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 American Funds' 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 American Funds.
05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in American Funds on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding American Funds Income or generate 0.0% return on investment in American Funds over 720 days. American Funds is related to or competes with Income Fund, New World, American Mutual, American Mutual, American Funds, Income Fund, and New Economy. The fund invests in a mix of American Funds in different combinations and weightings More
American Funds 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 American Funds' 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 American Funds Income upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4892 | |||
Information Ratio | (0.16) | |||
Maximum Drawdown | 2.18 | |||
Value At Risk | (0.63) | |||
Potential Upside | 0.6221 |
American Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for American Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as American Funds' standard deviation. In reality, there are many statistical measures that can use American Funds historical prices to predict the future American Funds' volatility.Risk Adjusted Performance | 0.0352 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.13) | |||
Treynor Ratio | 0.0293 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of American Funds' 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.
American Funds Me Backtested Returns
We consider American Funds very steady. American Funds Me secures Sharpe Ratio (or Efficiency) of 0.0464, which signifies that the fund had a 0.0464% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for American Funds Income, which you can use to evaluate the volatility of the entity. Please confirm American Funds' risk adjusted performance of 0.0352, and Mean Deviation of 0.288 to double-check if the risk estimate we provide is consistent with the expected return of 0.0188%. The fund shows a Beta (market volatility) of 0.55, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, American Funds' returns are expected to increase less than the market. However, during the bear market, the loss of holding American Funds is expected to be smaller as well.
Auto-correlation | 0.54 |
Modest predictability
American Funds Income has modest predictability. Overlapping area represents the amount of predictability between American Funds time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd 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 American Funds Me price movement. The serial correlation of 0.54 indicates that about 54.0% of current American Funds price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.54 | |
Spearman Rank Test | 0.24 | |
Residual Average | 0.0 | |
Price Variance | 0.2 |
American Funds Me lagged returns against current returns
Autocorrelation, which is American Funds 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 American Funds' mutual fund expected returns. We can calculate the autocorrelation of American Funds returns to help us make a trade decision. For example, suppose you find that American Funds 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 |
American Funds 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 American Funds mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if American Funds mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in American Funds mutual fund over time.
Current vs Lagged Prices |
Timeline |
American Funds Lagged Returns
When evaluating American Funds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of American Funds mutual fund have on its future price. American Funds 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, American Funds autocorrelation shows the relationship between American Funds mutual fund current value and its past values and can show if there is a momentum factor associated with investing in American Funds Income.
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 American Funds 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 Funds' short interest history, or implied volatility extrapolated from American Funds options trading.
Currently Active Assets on Macroaxis
Check out American Funds Correlation, American Funds Volatility and American Funds Alpha and Beta module to complement your research on American Funds. Note that the American Funds Me information on this page should be used as a complementary analysis to other American Funds' 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
American Funds 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.