MFS Active ETF Forward View - 4 Period Moving Average
| MFSB ETF | 25.04 -0.01 -0.04% |
4 Period Moving Average is applied to MFS Active Core's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. The 4 Period Moving Average model projects MFS Active at 24.98 for the next trading day, below the most recent closing price. This 4 Period Moving Average output is provided as analytical reference and does not constitute a trading recommendation.
4 Period Moving Average Price Forecast For the 8th of May
Over a 90-day horizon, the 4 Period Moving Average model forecasts MFS Active at 24.98 for the next trading day, with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.0026 , and sum of absolute errors of 3.76 .This represents a very tight forecast — the model closely tracks MFS Active's recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest MFS Active | MFS Active Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast range for MFS Active defines statistically derived downside and upside boundaries based on model performance. The model places downside around 24.71 and upside around 25.25 for the next session. The narrow range indicates limited short-term dispersion.
Model Predictive Factors
The table below summarizes the 4 Period Moving Average model's error metrics for MFS Active ETF. 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 | 105.76 |
| Bias | Arithmetic mean of the errors | 0.0047 |
| MAD | Mean absolute deviation | 0.0659 |
| MAPE | Mean absolute percentage error | 0.0026 |
| SAE | Sum of the absolute errors | 3.755 |
Other Forecasting Options for MFS Active
The distribution of MFS Active's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This reveals hidden support and resistance zones in MFS Active's chart that simple price charts miss.MFS Active Related Equities
These related stocks within the Intermediate Core-Plus Bond space give benchmarks for judging MFS Active's results, margins, and growth trend. Checking MFS Active against peers on P/E, margins, and return on equity helps put its position in context.
| Risk & Return | Correlation |
MFS Active Market Strength Events
Market strength indicators for MFS Active ETF provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in MFS Active.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 25.04 | |||
| Day Typical Price | 25.04 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.01 | |||
| Relative Strength Index | 52.86 |
MFS Active Risk Indicators
Assessing MFS Active's risk indicators is a structured way to evaluate the risk-return trade-off for mfs active etf. The level of risk embedded in MFS Active's feeds directly into exposure calibration.
| Mean Deviation | 0.2089 | |||
| Standard Deviation | 0.2636 | |||
| Variance | 0.0695 |
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.
More Resources for MFS Active ETF Analysis
Comparing MFS Active's market price with NAV reveals how trading dynamics relate to underlying asset values. ETF valuation considers factors like expense ratio, tracking accuracy, and the composition of underlying holdings.
Separating MFS Active's NAV from market price helps frame expectations more clearly. Exchange pricing for MFS Active reflects real-time supply and demand across active participants.