AMERICAN FUNDS Correlation, AMERICAN FUNDS Volatility and AMERICAN FUNDS Alpha and Beta module to complement your research on AMERICAN FUNDS.AMERICAN FUNDS's market value is the price at which a share of AMERICAN FUNDS stock trades on a public exchange. It measures the collective expectations of AMERICAN FUNDS 2030 investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of AMERICAN FUNDS 2030 and determine expected loss or profit from investing in AMERICAN FUNDS over a given investment horizon. Check out
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.
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.
AMERICAN FUNDS Market Risk IndicatorsToday, 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.
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 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.
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.
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.
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
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.
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.