Mid Cap Mutual Fund Forward View - Simple Exponential Smoothing
| AMVRX Fund | USD 14.98 0.08 0.54% |
The Simple Exponential Smoothing reference data for Mid Cap is derived from the equity's published trading history. The resulting forecast and deviation statistics are presented as reference data for informational context. Forecast values and accuracy statistics are presented for informational purposes. All values shown are derived from publicly available market data.
The Simple Exponential Smoothing forecasted value of Mid Cap Value on the next trading day is expected to be 14.98 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 6.00.This simple exponential smoothing model begins by setting Mid Cap Value forecast for the second period equal to the observation of the first period. In other words, recent Mid Cap observations are given relatively more weight in forecasting than the older observations. The forecast reference data presented here for Mid Cap Value reflects Simple Exponential Smoothing model output and is intended as reference material for analytical use. Simple Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Mid Cap Value on the next trading day is expected to be 14.98 with a mean absolute deviation of 0.1 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.00 .Please note that although there have been many attempts to predict Mid Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Mid Cap's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates Mid Cap's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Mid Cap mutual fund data series using in forecasting. Note that when a statistical model is used to represent Mid Cap mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.9405 |
| Bias | Arithmetic mean of the errors | -0.003 |
| MAD | Mean absolute deviation | 0.0984 |
| MAPE | Mean absolute percentage error | 0.0064 |
| SAE | Sum of the absolute errors | 6.0 |
Other Forecasting Options for Mid Cap
Fibonacci retracement levels applied to Mid Mutual Fund price swings identify potential support and resistance zones. Extreme price moves in Mid occur more frequently than standard risk models assume. Support and resistance levels derived from Mid Cap's historical data identify zones where buying or selling pressure has stalled moves. A volume spike without a corresponding price move can signal accumulation or distribution ahead of a directional breakout.Mid Cap Related Equities
Sizing up Mid Cap against these stocks within the Mid-Cap Value space shows how it compares on key financial measures. Market cap and total value checks frame Mid Cap's size within the competitive field. Persistent outperformance or underperformance by specific peers relative to Mid Cap often signals structural advantages or weaknesses.
| Risk & Return | Correlation |
Mid Cap Market Strength Events
Tracking market strength indicators for Mid Cap provides context for understanding mutual fund momentum dynamics. Tracking these indicators helps identify periods where trading Mid Cap is likely to be most rewarding. These tools are essential for timing trades in Mid Cap Value with a quantitative framework. Market strength indicators for Mid Cap Value are most useful when viewed as part of a broader analytical framework.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 14.98 | |||
| Day Typical Price | 14.98 | |||
| Price Action Indicator | 0.04 | |||
| Period Momentum Indicator | 0.08 | |||
| Relative Strength Index | 43.38 |
Mid Cap Risk Indicators
Properly assessing Mid Cap's risk indicators is a prerequisite for building reliable price forecasts. This analysis provides context for determining the appropriate level of risk to accept when holding Mid Cap's. Analyzing Mid Cap's risk indicators provides a critical input for investment risk management. By quantifying the risk in Mid Cap's investment, investors can make more informed decisions about hedging strategies.
| Mean Deviation | 0.6154 | |||
| Semi Deviation | 0.7501 | |||
| Standard Deviation | 0.7895 | |||
| Variance | 0.6234 | |||
| Downside Variance | 0.6543 | |||
| Semi Variance | 0.5627 | |||
| Expected Short fall | -0.69 |
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.
Story Coverage note for Mid Cap
The amount of media and story coverage tied to Mid Cap Value can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.