AMERICAN Mutual Fund Market Value
| RBEEX Fund | USD 14.90 0.01 0.07% |
| 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'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 AMERICAN FUNDS.
| 08/24/2023 |
| 09/23/2023 |
If you would invest 0.00 in AMERICAN FUNDS on August 24, 2023 and sell it all today you would earn a total of 0.00 from holding AMERICAN FUNDS 2030 or generate 0.0% return on investment in AMERICAN FUNDS over 30 days. AMERICAN FUNDS is related to or competes with Intel, Morningstar Unconstrained, Weiqiao Textile, Bondbloxx ETF, FT Cboe, Klckner Co, and Knife River. The investment seeks growth, income and conservation of capital 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'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 AMERICAN FUNDS 2030 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.32 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 0.9091 |
AMERICAN FUNDS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AMERICAN FUNDS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AMERICAN FUNDS's standard deviation. In reality, there are many statistical measures that can use AMERICAN FUNDS historical prices to predict the future AMERICAN FUNDS's volatility.| Risk Adjusted Performance | (0.042265) | |||
| Jensen Alpha | (0.029553) | |||
| Total Risk Alpha | (0.027965) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of AMERICAN FUNDS'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. Please use the tools below to analyze the current value of AMERICAN FUNDS in the context of predictive analytics.
AMERICAN FUNDS 2030 Backtested Returns
AMERICAN FUNDS 2030 secures Sharpe Ratio (or Efficiency) of -0.0456, which signifies that the fund had -0.0456% of return per unit of risk over the last 3 months. Our philosophy in foreseeing the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. AMERICAN FUNDS 2030 exposes fifteen different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please confirm AMERICAN FUNDS 2030 Risk Adjusted Performance of (0.042265), mean deviation of 0.36, and Standard Deviation of 0.4759 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.6907, 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 on holding AMERICAN FUNDS will be expected to be smaller as well.
Auto-correlation | 0.24 |
Weak predictability
AMERICAN FUNDS 2030 has weak predictability. Overlapping area represents the amount of predictability between AMERICAN FUNDS time series from 24th of August 2023 to 8th of September 2023 and 8th of September 2023 to 23rd of September 2023. 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 2030 price movement. The serial correlation of 0.24 indicates that over 24.0% of current AMERICAN FUNDS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
AMERICAN FUNDS 2030 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's 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 mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock 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's 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 2030.
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's short interest history, or implied volatility extrapolated from AMERICAN FUNDS options trading.
Currently Active Assets on Macroaxis
| V | Visa Class A | |
| CRM | Salesforce | |
| MSFT | Microsoft | |
| MSFT | Microsoft | |
| GM | General Motors |
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 2030 information on this page should be used as a complementary analysis to other AMERICAN FUNDS'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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for AMERICAN Mutual Fund analysis
When running AMERICAN FUNDS's price analysis, check to measure AMERICAN FUNDS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AMERICAN FUNDS is operating at the current time. Most of AMERICAN FUNDS's value examination focuses on studying past and present price action to predict the probability of AMERICAN FUNDS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AMERICAN FUNDS's price. Additionally, you may evaluate how the addition of AMERICAN FUNDS to your portfolios can decrease your overall portfolio volatility.
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges |
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.