VIKING TAX-FREE Mutual Fund Forward View - Simple Regression
| VNDIX Fund | USD 8.74 -0.04 -0.46% |
The Simple Regression forecast shown here for VIKING TAX-FREE is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Regression output serves as one input among many for analytical review.
The Simple Regression forecasted value of Viking Tax Free Fund on the next trading day is expected to be 8.88 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.55.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Viking Tax Free Fund historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for VIKING TAX-FREE presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 27th of March
Given 90 days horizon, the Simple Regression forecasted value of Viking Tax Free Fund on the next trading day is expected to be 8.88 with a mean absolute deviation of 0.04 , mean absolute percentage error of 0.0028 , and the sum of the absolute errors of 2.55 .Please note that although there have been many attempts to predict VIKING 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 VIKING TAX-FREE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest VIKING TAX-FREE | VIKING TAX-FREE Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Viking Tax Free Fund focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of VIKING TAX-FREE mutual fund data series using in forecasting. Note that when a statistical model is used to represent VIKING TAX-FREE 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 | 112.2253 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0417 |
| MAPE | Mean absolute percentage error | 0.0047 |
| SAE | Sum of the absolute errors | 2.5463 |
Other Forecasting Options for VIKING TAX-FREE
The distribution of VIKING TAX-FREE's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in VIKING TAX-FREE's chart that simple price charts miss. The slope of VIKING TAX-FREE's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in VIKING.VIKING TAX-FREE Related Equities
Sizing up VIKING TAX-FREE against these stocks within the Muni Single State Interm space shows how it compares on key financial measures. Looking at VIKING TAX-FREE's pricing multiples next to these peers shows if the stock trades at a premium or discount. Persistent outperformance or underperformance by specific peers relative to VIKING TAX-FREE often signals structural advantages or weaknesses.
| Risk & Return | Correlation |
VIKING TAX-FREE Market Strength Events
Market strength indicators for VIKING TAX-FREE give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Viking Tax Free Fund. Market strength analysis for Viking Tax Free Fund works best when combined with volume and volatility data. For VIKING TAX-FREE, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.74 | |||
| Day Typical Price | 8.74 | |||
| Price Action Indicator | -0.02 | |||
| Period Momentum Indicator | -0.04 | |||
| Relative Strength Index | 28.79 |
VIKING TAX-FREE Risk Indicators
A thorough review of VIKING TAX-FREE's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in VIKING TAX-FREE's allows investors to make better decisions about entry, sizing, and hedging. The assessment of VIKING TAX-FREE's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in VIKING TAX-FREE's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.0905 | |||
| Standard Deviation | 0.1592 | |||
| Variance | 0.0253 |
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 VIKING TAX-FREE
Story coverage around Viking Tax Free Fund often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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.