University Bancorp OTC Stock Forward View - Triple Exponential Smoothing

University Bancorp Additional Predictive Modules

Most predictive techniques to examine University price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for University using various technical indicators. When you analyze University 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. Triple exponential smoothing for University Bancorp - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When University Bancorp prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in University Bancorp price movement. However, neither of these exponential smoothing models address any seasonality of University Bancorp.

University Bancorp Triple Exponential Smoothing Price Forecast For the 7th of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of University Bancorp on the next trading day is expected to be 23.50 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.21, and the sum of the absolute errors of 11.01.

University Bancorp OTC Stock Forecast Pattern

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University Bancorp Price Prediction

Research Analysis

University Bancorp Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of University Bancorp otc stock data series using in forecasting. Note that when a statistical model is used to represent University Bancorp 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. As with simple exponential smoothing, in triple exponential smoothing models past University Bancorp observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older University Bancorp observations.

Predictive Modules for University Bancorp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as University Bancorp. 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 21.35 23.50 25.65 Details

Intrinsic Valuation Low Real High 19.78 21.93 24.08 Details

Bollinger Band Projection (param) Low Middle High 15.55 20.16 24.78 Details

University Bancorp After-Hype Price Density Analysis

University Bancorp Estimiated After-Hype Price Volatility

University Bancorp OTC Stock Price Outlook Analysis

Notes

University Bancorp Hype Timeline

University Bancorp is at this time traded for 23.50. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. University 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 at this time at 0.61%. %. The volatility of related hype on University Bancorp is about 0.0%, with the expected price after the next announcement by competition of 23.50. The company has Price to Book (P/B) ratio of 1.07. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. University Bancorp last dividend was issued on the 27th of May 2022. The entity had 3:2 split on the 25th of February 1998. Given the investment horizon of 90 days the next forecasted press release will be any time. Check out Historical Fundamental Analysis of University Bancorp to cross-verify your projections.

University Bancorp Related Hype Analysis

Other Forecasting Options for University Bancorp

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

University Bancorp Related Equities

Risk & Return

Correlation

University Bancorp Market Strength Events

University Bancorp Risk Indicators

Story Coverage note for University Bancorp

Other Macroaxis Stories

Other Information on Investing in University OTC Stock