Isabella Bank OTC Stock Forecast - Simple Regression

Isabella Bank Additional Predictive Modules

Most predictive techniques to examine Isabella price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Isabella using various technical indicators. When you analyze Isabella charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Isabella Bank 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.

Isabella Bank Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Isabella Bank on the next trading day is expected to be 54.41 with a mean absolute deviation of 2.32, mean absolute percentage error of 8.31, and the sum of the absolute errors of 144.04.

Isabella Bank OTC Stock Forecast Pattern

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Isabella Bank Forecasted Value

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 Isabella Bank otc stock data series using in forecasting. Note that when a statistical model is used to represent Isabella Bank otc 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. 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 Isabella Bank historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Isabella Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Isabella Bank. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 46.94 50.58 54.22 Details

Intrinsic Valuation Low Real High 45.52 56.84 60.48 Details

Bollinger Band Projection (param) Low Middle High 44.40 49.89 55.39 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Isabella Bank. Your research has to be compared to or analyzed against Isabella Bank's peers to derive any actionable benefits. When done correctly, Isabella Bank's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Isabella Bank.

Isabella Bank After-Hype Price Prediction Density Analysis

Isabella Bank Estimiated After-Hype Price Volatility

Isabella Bank OTC Stock Price Prediction Analysis

Isabella Bank Hype Timeline

Isabella Bank is currently traded for 51.58. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.08. Isabella is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.65%. %. The volatility of related hype on Isabella Bank is about 2821.71%, with the expected price after the next announcement by competition of 51.66. The company has price-to-book (P/B) ratio of 0.94. Some equities with similar Price to Book (P/B) outperform the market in the long run. Isabella Bank last dividend was issued on the 13th of December 2022. The entity had 11:10 split on the 11th of March 2008. Given the investment horizon of 90 days the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of Isabella Bank to cross-verify your projections.

Isabella Bank Related Hype Analysis

Other Forecasting Options for Isabella Bank

For every potential investor in Isabella, whether a beginner or expert, Isabella Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Isabella OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Isabella. Basic forecasting techniques help filter out the noise by identifying Isabella Bank's price trends.

Isabella Bank Related Equities

Risk & Return

Correlation

Isabella Bank Market Strength Events

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