First Community Pink Sheet Forecast - 4 Period Moving Average

FMFP Stock  USD 11.98  0.23  1.96%   
The 4 Period Moving Average forecasted value of First Community Financial on the next trading day is expected to be 11.92 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 12.34. First Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for First Community Financial is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

First Community 4 Period Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of First Community Financial on the next trading day is expected to be 11.92 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.27, and the sum of the absolute errors of 12.34.
Please note that although there have been many attempts to predict First 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 First Community's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Community Pink Sheet Forecast Pattern

Backtest First CommunityFirst Community Price PredictionBuy or Sell Advice 

First Community Forecasted Value

In the context of forecasting First Community'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. First Community's downside and upside margins for the forecasting period are 9.51 and 14.34, respectively. We have considered First Community'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
11.98
11.92
Expected Value
14.34
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of First Community pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Community 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 Criteria109.4507
BiasArithmetic mean of the errors 0.1335
MADMean absolute deviation0.2165
MAPEMean absolute percentage error0.0181
SAESum of the absolute errors12.3425
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of First Community. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for First Community Financial and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for First Community

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Community Financial. 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
LowEstimatedHigh
9.5711.9814.39
Details
Intrinsic
Valuation
LowRealHigh
8.0810.4912.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.9811.9811.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as First Community. Your research has to be compared to or analyzed against First Community's peers to derive any actionable benefits. When done correctly, First Community'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 First Community Financial.

Other Forecasting Options for First Community

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

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

First Community Financial 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 First Community'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 First Community's current price.

First Community Market Strength Events

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

First Community Risk Indicators

The analysis of First Community'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 First Community's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first 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 First Community

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

Moving together with First Pink Sheet

  0.71BBDC4 Banco Bradesco SAPairCorr

Moving against First Pink Sheet

  0.83USB-PH US BancorpPairCorr
  0.43CIHHF China Merchants BankPairCorr
  0.37CIHKY China Merchants BankPairCorr
The ability to find closely correlated positions to First Community could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Community 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 First Community - 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 First Community Financial to buy it.
The correlation of First Community 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 First Community moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Community Financial 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 First Community 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 First Pink Sheet Analysis

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