Kingstone Companies Stock Forward View - Simple Regression

Kingstone Companies Additional Predictive Modules

Most predictive techniques to examine Kingstone price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Kingstone using various technical indicators. When you analyze Kingstone 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 Kingstone Companies 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.

Kingstone Companies Simple Regression Price Forecast For the 30th of January

Given 90 days horizon, the Simple Regression forecasted value of Kingstone Companies on the next trading day is expected to be 16.63 with a mean absolute deviation of 0.64, mean absolute percentage error of 0.62, and the sum of the absolute errors of 39.00.

Kingstone Companies Stock Forecast Pattern

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Kingstone Companies Price Prediction

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Kingstone Companies 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 Kingstone Companies stock data series using in forecasting. Note that when a statistical model is used to represent Kingstone Companies 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 Kingstone Companies 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 Kingstone Companies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kingstone Companies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 13.46 15.23 17.00 Details

Intrinsic Valuation Low Real High 13.74 15.51 17.28 Details

Bollinger Band Projection (param) Low Middle High 14.70 16.27 17.84 Details

Kingstone Companies After-Hype Price Density Analysis

Kingstone Companies Estimiated After-Hype Price Volatility

Kingstone Companies Stock Price Outlook Analysis

Notes

Kingstone Companies Hype Timeline

Kingstone Companies is now traded for 15.23. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Kingstone is estimated 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 estimated to be very small, whereas the daily expected return is now at 0.09%. %. The volatility of related hype on Kingstone Companies is about 0.0%, with the expected price after the next announcement by competition of 15.23. About 23.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.99. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Kingstone Companies last dividend was issued on the 11th of November 2025. The entity had 1:5 split on the 26th of August 2004. Given the investment horizon of 90 days the next estimated press release will be uncertain. Check out Historical Fundamental Analysis of Kingstone Companies to cross-verify your projections. For more information on how to buy Kingstone Stock please use our How to Invest in Kingstone Companies guide.

Kingstone Companies Related Hype Analysis

Other Forecasting Options for Kingstone Companies

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

Kingstone Companies Related Equities

Risk & Return

Correlation

Kingstone Companies Market Strength Events

Kingstone Companies Risk Indicators

Story Coverage note for Kingstone Companies

Kingstone Companies Short Properties

Additional Tools for Kingstone Stock Analysis