ECVC Stock Forward View - Simple Regression
| ECVC Stock | 0.28 0.00 0.00% |
This page provides reference data for ECVC using Simple Regression forecasting. The projected value and error metrics are calculated from available daily price observations.
The Simple Regression forecasted value of ECVC on the next trading day is expected to be 0.32 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.39.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 ECVC 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 ECVC presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 21st of March
Given 90 days horizon, the Simple Regression forecasted value of ECVC on the next trading day is expected to be 0.32 with a mean absolute deviation of 0.02 , mean absolute percentage error of 0.0008 , and the sum of the absolute errors of 1.39 .Please note that although there have been many attempts to predict ECVC Stock 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 ECVC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
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 ECVC stock data series using in forecasting. Note that when a statistical model is used to represent ECVC stock, 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 | 112.8083 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0225 |
| MAPE | Mean absolute percentage error | 0.0732 |
| SAE | Sum of the absolute errors | 1.3942 |
ECVC Related Equities
The following equities are related to ECVC and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ECVC against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
ECVC Market Strength Events
Market strength indicators for ECVC provide investors with a view of how the stock performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in ECVC.
ECVC Risk Indicators
A structured analysis of ECVC's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in ECVC's allows investors to decide whether to accept, reduce, or hedge their exposure.
| Mean Deviation | 4.06 | |||
| Semi Deviation | 4.31 | |||
| Standard Deviation | 5.84 | |||
| Variance | 34.15 | |||
| Downside Variance | 38.54 | |||
| Semi Variance | 18.54 | |||
| Expected Short fall | -6.37 |
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 ECVC
Story coverage around ECVC 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.
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