Chiba Bank Stock Forecast - Simple Regression

CBR Stock  EUR 7.35  0.05  0.68%   
The Simple Regression forecasted value of Chiba Bank on the next trading day is expected to be 7.09 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.72. Chiba Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Chiba Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Chiba 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.

Chiba Bank Simple Regression Price Forecast For the 27th of November

Given 90 days horizon, the Simple Regression forecasted value of Chiba Bank on the next trading day is expected to be 7.09 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.72.
Please note that although there have been many attempts to predict Chiba Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Chiba Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chiba Bank Stock Forecast Pattern

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Chiba Bank Forecasted Value

In the context of forecasting Chiba Bank's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Chiba Bank's downside and upside margins for the forecasting period are 5.05 and 9.13, respectively. We have considered Chiba Bank's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
7.35
7.09
Expected Value
9.13
Upside

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 Chiba Bank stock data series using in forecasting. Note that when a statistical model is used to represent Chiba Bank 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.
AICAkaike Information Criteria115.2207
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1922
MAPEMean absolute percentage error0.0272
SAESum of the absolute errors11.7244
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 Chiba 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 Chiba 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 Chiba Bank. 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
LowEstimatedHigh
5.317.359.39
Details
Intrinsic
Valuation
LowRealHigh
4.046.088.12
Details

Other Forecasting Options for Chiba Bank

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

Chiba Bank Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Chiba Bank stock to make a market-neutral strategy. Peer analysis of Chiba Bank could also be used in its relative valuation, which is a method of valuing Chiba Bank by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Chiba Bank Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Chiba Bank's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Chiba Bank's current price.

Chiba Bank Market Strength Events

Market strength indicators help investors to evaluate how Chiba Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Chiba Bank shares will generate the highest return on investment. By undertsting and applying Chiba Bank stock market strength indicators, traders can identify Chiba Bank entry and exit signals to maximize returns.

Chiba Bank Risk Indicators

The analysis of Chiba Bank's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Chiba Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chiba stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

Currently Active Assets on Macroaxis

Other Information on Investing in Chiba Stock

Chiba Bank financial ratios help investors to determine whether Chiba Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Chiba with respect to the benefits of owning Chiba Bank security.