Farmers Bancorp Pink Sheet Forecast - Simple Moving Average
| FABP Stock | USD 38.00 2.43 6.83% |
The Simple Moving Average forecasted value of Farmers Bancorp on the next trading day is expected to be 38.00 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.35. Farmers Pink Sheet Forecast is based on your current time horizon.
Farmers |
Farmers Bancorp Simple Moving Average Price Forecast For the 16th of December 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Farmers Bancorp on the next trading day is expected to be 38.00 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.26, and the sum of the absolute errors of 17.35.Please note that although there have been many attempts to predict Farmers 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 Farmers Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Farmers Bancorp Pink Sheet Forecast Pattern
| Backtest Farmers Bancorp | Farmers Bancorp Price Prediction | Buy or Sell Advice |
Farmers Bancorp Forecasted Value
In the context of forecasting Farmers Bancorp'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. Farmers Bancorp's downside and upside margins for the forecasting period are 36.67 and 39.33, respectively. We have considered Farmers 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Farmers Bancorp pink sheet data series using in forecasting. Note that when a statistical model is used to represent Farmers Bancorp 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 | 113.0863 |
| Bias | Arithmetic mean of the errors | -0.1234 |
| MAD | Mean absolute deviation | 0.2941 |
| MAPE | Mean absolute percentage error | 0.0085 |
| SAE | Sum of the absolute errors | 17.35 |
Predictive Modules for Farmers 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 Farmers Bancorp. 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.Other Forecasting Options for Farmers Bancorp
For every potential investor in Farmers, whether a beginner or expert, Farmers Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Farmers Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Farmers. Basic forecasting techniques help filter out the noise by identifying Farmers Bancorp's price trends.View Farmers Bancorp Related Equities
| Risk & Return | Correlation |
Farmers Bancorp 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 Farmers 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 Farmers Bancorp's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Farmers Bancorp Market Strength Events
Market strength indicators help investors to evaluate how Farmers Bancorp 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 Farmers Bancorp shares will generate the highest return on investment. By undertsting and applying Farmers Bancorp pink sheet market strength indicators, traders can identify Farmers Bancorp entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 38.0 | |||
| Day Typical Price | 38.0 | |||
| Price Action Indicator | 1.21 | |||
| Period Momentum Indicator | 2.43 |
Farmers Bancorp Risk Indicators
The analysis of Farmers 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 Farmers Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting farmers 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.
| Mean Deviation | 0.7766 | |||
| Semi Deviation | 0.5502 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.76 | |||
| Downside Variance | 1.13 | |||
| Semi Variance | 0.3028 | |||
| Expected Short fall | (1.78) |
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 Farmers 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 Farmers 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 Farmers Bancorp will appreciate offsetting losses from the drop in the long position's value.Moving together with Farmers Pink Sheet
Moving against Farmers Pink Sheet
| 0.83 | BBDC4 | Banco Bradesco SA | PairCorr |
| 0.77 | BNPQF | BNP Paribas SA | PairCorr |
| 0.77 | PFE | Pfizer Inc Fiscal Year End 4th of February 2025 | PairCorr |
| 0.72 | BNPQY | BNP Paribas SA | PairCorr |
| 0.51 | BBAS3 | Banco do Brasil | PairCorr |
The ability to find closely correlated positions to Farmers 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 Farmers 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 Farmers 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 Farmers Bancorp to buy it.
The correlation of Farmers 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 Farmers Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Farmers 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 Farmers 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.Additional Tools for Farmers Pink Sheet Analysis
When running Farmers Bancorp's price analysis, check to measure Farmers Bancorp'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 Farmers Bancorp is operating at the current time. Most of Farmers Bancorp's value examination focuses on studying past and present price action to predict the probability of Farmers Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Farmers Bancorp's price. Additionally, you may evaluate how the addition of Farmers Bancorp to your portfolios can decrease your overall portfolio volatility.