CCFNB Bancorp OTC Stock Forecast - Triple Exponential Smoothing

CCFN Stock  USD 38.50  1.34  3.36%   
The Triple Exponential Smoothing forecasted value of CCFNB Bancorp on the next trading day is expected to be 38.54 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 34.62. CCFNB OTC Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for CCFNB 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 CCFNB 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 CCFNB Bancorp price movement. However, neither of these exponential smoothing models address any seasonality of CCFNB Bancorp.

CCFNB Bancorp Triple Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of CCFNB Bancorp on the next trading day is expected to be 38.54 with a mean absolute deviation of 0.59, mean absolute percentage error of 0.50, and the sum of the absolute errors of 34.62.
Please note that although there have been many attempts to predict CCFNB OTC 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 CCFNB Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CCFNB Bancorp OTC Stock Forecast Pattern

Backtest CCFNB BancorpCCFNB Bancorp Price PredictionBuy or Sell Advice 

CCFNB Bancorp Forecasted Value

In the context of forecasting CCFNB Bancorp's OTC 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. CCFNB Bancorp's downside and upside margins for the forecasting period are 36.48 and 40.61, respectively. We have considered CCFNB Bancorp'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
38.50
38.54
Expected Value
40.61
Upside

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 CCFNB Bancorp otc stock data series using in forecasting. Note that when a statistical model is used to represent CCFNB 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.1477
MADMean absolute deviation0.5869
MAPEMean absolute percentage error0.0171
SAESum of the absolute errors34.6243
As with simple exponential smoothing, in triple exponential smoothing models past CCFNB 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 CCFNB Bancorp observations.

Predictive Modules for CCFNB 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 CCFNB 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
LowEstimatedHigh
36.4338.5040.57
Details
Intrinsic
Valuation
LowRealHigh
34.8636.9339.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.6135.1837.74
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CCFNB Bancorp. Your research has to be compared to or analyzed against CCFNB Bancorp's peers to derive any actionable benefits. When done correctly, CCFNB Bancorp's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CCFNB Bancorp.

Other Forecasting Options for CCFNB Bancorp

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

View CCFNB Bancorp Related Equities

 Risk & Return  Correlation

CCFNB Bancorp Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of CCFNB Bancorp'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 CCFNB Bancorp's current price.

CCFNB Bancorp Market Strength Events

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

CCFNB Bancorp Risk Indicators

The analysis of CCFNB Bancorp'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 CCFNB Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ccfnb otc 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.

Pair Trading with CCFNB Bancorp

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 CCFNB Bancorp 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 CCFNB Bancorp will appreciate offsetting losses from the drop in the long position's value.

Moving against CCFNB OTC Stock

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The ability to find closely correlated positions to CCFNB Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CCFNB Bancorp 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 CCFNB Bancorp - 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 CCFNB Bancorp to buy it.
The correlation of CCFNB Bancorp 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 CCFNB Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CCFNB Bancorp 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 CCFNB Bancorp 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

Other Information on Investing in CCFNB OTC Stock

CCFNB Bancorp financial ratios help investors to determine whether CCFNB OTC 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 CCFNB with respect to the benefits of owning CCFNB Bancorp security.