Popular Pink Sheet Forecast - Polynomial Regression

BPOPO Stock  USD 24.26  0.00  0.00%   
The Polynomial Regression forecasted value of Popular on the next trading day is expected to be 24.63 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.94. Popular Pink Sheet Forecast is based on your current time horizon.
  
Popular polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Popular as well as the accuracy indicators are determined from the period prices.

Popular Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of Popular on the next trading day is expected to be 24.63 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.12, and the sum of the absolute errors of 16.94.
Please note that although there have been many attempts to predict Popular 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 Popular's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Popular Pink Sheet Forecast Pattern

Backtest PopularPopular Price PredictionBuy or Sell Advice 

Popular Forecasted Value

In the context of forecasting Popular'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. Popular's downside and upside margins for the forecasting period are 23.60 and 25.66, respectively. We have considered Popular'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
24.26
24.63
Expected Value
25.66
Upside

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 Popular pink sheet data series using in forecasting. Note that when a statistical model is used to represent Popular 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 Criteria116.0203
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2777
MAPEMean absolute percentage error0.0115
SAESum of the absolute errors16.9396
A single variable polynomial regression model attempts to put a curve through the Popular historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Popular

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Popular. 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
23.2224.2525.28
Details
Intrinsic
Valuation
LowRealHigh
23.1924.2225.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.1824.2424.29
Details

Other Forecasting Options for Popular

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

View Popular Related Equities

 Risk & Return  Correlation

Popular 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 Popular'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 Popular's current price.

Popular Market Strength Events

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

Popular Risk Indicators

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

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

Moving against Popular Pink Sheet

  0.32CIHHF China Merchants BankPairCorr
The ability to find closely correlated positions to Popular could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Popular 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 Popular - 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 Popular to buy it.
The correlation of Popular 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 Popular moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Popular 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 Popular 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 Information and Resources on Investing in Popular Pink Sheet

When determining whether Popular is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Popular Pink Sheet is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Popular Stock. Highlighted below are key reports to facilitate an investment decision about Popular Stock:
Check out Historical Fundamental Analysis of Popular to cross-verify your projections.
To learn how to invest in Popular Pink Sheet, please use our How to Invest in Popular guide.
You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Please note, there is a significant difference between Popular's value and its price as these two are different measures arrived at by different means. Investors typically determine if Popular is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Popular's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.