Community Bankers Pink Sheet Forecast - Double Exponential Smoothing

CTYP Stock  USD 4.79  0.10  2.13%   
The Double Exponential Smoothing forecasted value of Community Bankers on the next trading day is expected to be 4.79 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.79. Community Pink Sheet Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Community Bankers works best with periods where there are trends or seasonality.

Community Bankers Double Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Community Bankers on the next trading day is expected to be 4.79 with a mean absolute deviation of 0.03, mean absolute percentage error of 0.01, and the sum of the absolute errors of 1.79.
Please note that although there have been many attempts to predict Community 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 Community Bankers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Community Bankers Pink Sheet Forecast Pattern

Backtest Community BankersCommunity Bankers Price PredictionBuy or Sell Advice 

Community Bankers Forecasted Value

In the context of forecasting Community Bankers' 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. Community Bankers' downside and upside margins for the forecasting period are 2.66 and 6.92, respectively. We have considered Community Bankers' 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
4.79
4.79
Expected Value
6.92
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Community Bankers pink sheet data series using in forecasting. Note that when a statistical model is used to represent Community Bankers 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0134
MADMean absolute deviation0.0303
MAPEMean absolute percentage error0.0069
SAESum of the absolute errors1.79
When Community Bankers 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 Community Bankers trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Community Bankers observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Community Bankers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Community Bankers. 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 Community Bankers' 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.
Hype
Prediction
LowEstimatedHigh
2.664.796.92
Details
Intrinsic
Valuation
LowRealHigh
1.733.865.99
Details

Other Forecasting Options for Community Bankers

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

Community Bankers 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 Community Bankers pink sheet to make a market-neutral strategy. Peer analysis of Community Bankers could also be used in its relative valuation, which is a method of valuing Community Bankers by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Community Bankers 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 Community Bankers' 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 Community Bankers' current price.

Community Bankers Market Strength Events

Market strength indicators help investors to evaluate how Community Bankers 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 Community Bankers shares will generate the highest return on investment. By undertsting and applying Community Bankers pink sheet market strength indicators, traders can identify Community Bankers entry and exit signals to maximize returns.

Community Bankers Risk Indicators

The analysis of Community Bankers' 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 Community Bankers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting community pink sheet 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.

Pair Trading with Community Bankers

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 Community Bankers 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 Community Bankers will appreciate offsetting losses from the drop in the long position's value.

Moving together with Community Pink Sheet

  0.71CIHHF China Merchants BankPairCorr

Moving against Community Pink Sheet

  0.72BBAS3 Banco do BrasilPairCorr
  0.44BNPQY BNP Paribas SAPairCorr
  0.34BBDC4 Banco Bradesco SAPairCorr
The ability to find closely correlated positions to Community Bankers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Community Bankers 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 Community Bankers - 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 Community Bankers to buy it.
The correlation of Community Bankers 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 Community Bankers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Community Bankers 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 Community Bankers 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.
Pair CorrelationCorrelation Matching

Additional Tools for Community Pink Sheet Analysis

When running Community Bankers' price analysis, check to measure Community Bankers' 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 Community Bankers is operating at the current time. Most of Community Bankers' value examination focuses on studying past and present price action to predict the probability of Community Bankers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Community Bankers' price. Additionally, you may evaluate how the addition of Community Bankers to your portfolios can decrease your overall portfolio volatility.