Chiba Bank Pink Sheet Forecast - Polynomial Regression
| CHBAY Stock | USD 37.04 0.00 0.00% |
The Polynomial Regression forecasted value of Chiba Bank Ltd on the next trading day is expected to be 37.04 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Chiba Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Chiba Bank stock prices and determine the direction of Chiba Bank Ltd's future trends based on various well-known forecasting models. 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.
Check out Historical Fundamental Analysis of Chiba Bank to cross-verify your projections. Chiba |
Most investors in Chiba Bank cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Chiba Bank's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Chiba Bank's price structures and extracts relationships that further increase the generated results' accuracy.
Chiba Bank polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Chiba Bank Ltd as well as the accuracy indicators are determined from the period prices. Chiba Bank Polynomial Regression Price Forecast For the 16th of May 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Chiba Bank Ltd on the next trading day is expected to be 37.04 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Chiba Pink Sheet 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 Pink Sheet Forecast Pattern
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Chiba Bank Forecasted Value
In the context of forecasting Chiba Bank's Pink Sheet 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 37.04 and 37.04, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Chiba Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent Chiba Bank 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.| AIC | Akaike Information Criteria | 57.3765 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
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 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chiba Bank's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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 Pink Sheet 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 pink sheet 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 pink sheet 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Chiba Bank Market Strength Events
Market strength indicators help investors to evaluate how Chiba Bank pink sheet 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 pink sheet market strength indicators, traders can identify Chiba Bank Ltd entry and exit signals to maximize returns.
Pair Trading with Chiba Bank
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Chiba Bank position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Chiba Bank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Chiba Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chiba Bank when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Chiba Bank - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Chiba Bank Ltd to buy it.
The correlation of Chiba Bank is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Chiba Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chiba Bank moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Chiba Bank can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Chiba Bank to cross-verify your projections. Note that the Chiba Bank information on this page should be used as a complementary analysis to other Chiba Bank's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Complementary Tools for Chiba Pink Sheet analysis
When running Chiba Bank's price analysis, check to measure Chiba Bank's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Chiba Bank is operating at the current time. Most of Chiba Bank's value examination focuses on studying past and present price action to predict the probability of Chiba Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chiba Bank's price. Additionally, you may evaluate how the addition of Chiba Bank to your portfolios can decrease your overall portfolio volatility.
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