Crawford Dividend Mutual Fund Forward View - Simple Regression

CDOFX Fund  USD 48.90  0.33  0.68%   
Crawford Dividend's Simple Regression reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Simple Regression forecasted value of Crawford Dividend Opportunity on the next trading day is expected to be 50.48 with a mean absolute deviation of 1.45 and the sum of the absolute errors of 90.13.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 Crawford Dividend Opportunity historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. Crawford Dividend's Simple Regression reference data is provided for informational and analytical purposes and does not constitute a trading recommendation.
Simple Regression model is a single variable regression model that attempts to put a straight line through Crawford Dividend price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 27th of March

Given 90 days horizon, the Simple Regression forecasted value of Crawford Dividend Opportunity on the next trading day is expected to be 50.48 with a mean absolute deviation of 1.45 , mean absolute percentage error of 2.83 , and the sum of the absolute errors of 90.13 .
Please note that although there have been many attempts to predict Crawford 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 Crawford Dividend'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 Crawford Dividend's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 49.42 and upside near 51.54.
Market Value
48.90
50.48
Expected Value
51.54
Upside

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 Crawford Dividend mutual fund data series using in forecasting. Note that when a statistical model is used to represent Crawford Dividend 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.
AICAkaike Information Criteria120.9884
BiasArithmetic mean of the errors None
MADMean absolute deviation1.4537
MAPEMean absolute percentage error0.0292
SAESum of the absolute errors90.1314
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 Crawford Dividend Opportunity historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for Crawford Dividend

Analyzing Crawford Dividend'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 Crawford Dividend's chart can signal overbought or oversold conditions.

Crawford Dividend Related Equities

The peer firms below within the Small Blend space can help frame Crawford Dividend's pricing and running costs in context. Profit comparisons show whether Crawford Dividend earns above or below average returns next to its peers. Identifying peers that steadily beat or lag Crawford Dividend across many periods highlights durable competitive gaps. The peer review below gives a clear framework for judging Crawford Dividend's standing among rivals.
 Risk & Return  Correlation

Crawford Dividend Market Strength Events

Market strength indicators for Crawford Dividend mutual fund provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Crawford Dividend.

Crawford Dividend Risk Indicators

Assessing Crawford Dividend's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Crawford Dividend's future price accurately requires understanding and quantifying the risks present in the investment.
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 Crawford Dividend

A coverage review of Crawford Dividend Opportunity shows when the security is attracting above-average attention from contributors and market observers. 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.