Julius Bär Pink Sheet Forecast - Naive Prediction

Julius Bär Additional Predictive Modules

Most predictive techniques to examine Julius price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Julius using various technical indicators. When you analyze Julius 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. A naive forecasting model for Julius Bär is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Julius Br Gruppe value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Julius Bär Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of Julius Br Gruppe on the next trading day is expected to be 87.54 with a mean absolute deviation of 1.52, mean absolute percentage error of 3.49, and the sum of the absolute errors of 92.85.

Julius Bär Pink Sheet Forecast Pattern

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Julius Bär Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Julius Bär pink sheet data series using in forecasting. Note that when a statistical model is used to represent Julius Bär pink sheet, 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. This model is not at all useful as a medium-long range forecasting tool of Julius Br Gruppe. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Julius Bär. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Julius Bär

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Julius Br Gruppe. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 84.92 87.27 89.62 Details

Intrinsic Valuation Low Real High 75.32 77.67 96.00 Details

Bollinger Band Projection (param) Low Middle High 78.27 83.31 88.36 Details

Julius Bär After-Hype Price Density Analysis

Julius Bär Estimiated After-Hype Price Volatility

Julius Bär Pink Sheet Price Outlook Analysis

Notes

Julius Bär Hype Timeline

Julius Br Gruppe is currently traded for 87.27. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Julius is projected 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 projected to be very small, whereas the daily expected return is currently at 0.44%. %. The volatility of related hype on Julius Bär is about 19583.33%, with the expected price after the next announcement by competition of 87.28. About 68.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.84. Some equities with similar Price to Book (P/B) outperform the market in the long run. Julius Br Gruppe last dividend was issued on the 17th of April 2023. Assuming the 90 days horizon the next projected press release will be uncertain. Check out Historical Fundamental Analysis of Julius Bär to cross-verify your projections.

Julius Bär Related Hype Analysis

Other Forecasting Options for Julius Bär

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

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