AMERICAN HIGH-INCOME Mutual Fund Forward View - Simple Regression
| ABHFX Fund | USD 15.37 0.01 0.07% |
AMERICAN HIGH-INCOME's Simple Regression forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Simple Regression model projects AMERICAN HIGH-INCOME at 15.27 for the next trading day, below the most recent closing price. The Simple Regression output reflects statistical model results and is provided for reference purposes.
Simple Regression Price Forecast For the 10th of May
Over a 90-day horizon, the Simple Regression model forecasts AMERICAN HIGH-INCOME at 15.27 for the next trading day, with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.0048 , and sum of absolute errors of 4.44 .This represents a very tight forecast — the model closely tracks AMERICAN HIGH-INCOME's recent price behavior. This output is intended for short-term analytical reference.
Mutual Fund Forecast Pattern
| Backtest AMERICAN HIGH-INCOME | AMERICAN HIGH-INCOME Price Prediction | Research Analysis |
Forecasted Value
The projected range for AMERICAN HIGH-INCOME reflects the model's ability to define credible downside and upside scenarios for the next trading day. The model places downside around 15.05 and upside around 15.49 for the next session. The narrow range indicates limited short-term dispersion.
Model Predictive Factors
The table below summarizes the Simple Regression model's error metrics for AMERICAN HIGH-INCOME mutual fund. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.| AIC | Akaike Information Criteria | 113.4052 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0727 |
| MAPE | Mean absolute percentage error | 0.0048 |
| SAE | Sum of the absolute errors | 4.4361 |
Other Forecasting Options for AMERICAN HIGH-INCOME
Analyzing AMERICAN HIGH-INCOME's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in AMERICAN HIGH-INCOME's chart signal overbought or oversold conditions.AMERICAN HIGH-INCOME Comparable Funds
The related funds below provide a category-based comparison set for AMERICAN HIGH-INCOME's. Looking across similar funds helps show whether AMERICAN HIGH-INCOME's pricing and risk profile are typical for the category. Differences across peer funds often reflect mandate, region, income policy, or leverage choices. This category lens gives the comparison list a clearer purpose for AMERICAN HIGH-INCOME.
| Risk & Return | Correlation |
AMERICAN HIGH-INCOME Market Strength Events
For investors tracking American High Income Municipal, market strength indicators offer quantitative evaluation of mutual fund behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in AMERICAN HIGH-INCOME.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.37 | |||
| Day Typical Price | 15.37 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 59.45 |
AMERICAN HIGH-INCOME Risk Indicators
Analyzing AMERICAN HIGH-INCOME's basic risk indicators provides a structured view of the risk-return trade-off for american mutual fund. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for AMERICAN HIGH-INCOME.
| Mean Deviation | 0.1387 | |||
| Semi Deviation | 0.1656 | |||
| Standard Deviation | 0.2139 | |||
| Variance | 0.0458 | |||
| Downside Variance | 0.0943 | |||
| Semi Variance | 0.0274 | |||
| Expected Short fall | -0.17 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.