Foreign Trade Stock Forecast - Polynomial Regression

BLX Stock  USD 33.84  0.20  0.59%   
The Polynomial Regression forecasted value of Foreign Trade Bank on the next trading day is expected to be 34.23 with a mean absolute deviation of 0.57 and the sum of the absolute errors of 34.81. Foreign Stock Forecast is based on your current time horizon.
  
At this time, Foreign Trade's Fixed Asset Turnover is fairly stable compared to the past year. Asset Turnover is likely to rise to 0.02 in 2024, despite the fact that Inventory Turnover is likely to grow to (0). . Common Stock Shares Outstanding is likely to drop to about 34.4 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 60.7 M in 2024.
Foreign Trade polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Foreign Trade Bank as well as the accuracy indicators are determined from the period prices.

Foreign Trade Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Foreign Trade Bank on the next trading day is expected to be 34.23 with a mean absolute deviation of 0.57, mean absolute percentage error of 0.49, and the sum of the absolute errors of 34.81.
Please note that although there have been many attempts to predict Foreign 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 Foreign Trade's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Foreign Trade Stock Forecast Pattern

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Foreign Trade Forecasted Value

In the context of forecasting Foreign Trade's 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. Foreign Trade's downside and upside margins for the forecasting period are 32.83 and 35.64, respectively. We have considered Foreign Trade'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
33.84
34.23
Expected Value
35.64
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 Foreign Trade stock data series using in forecasting. Note that when a statistical model is used to represent Foreign Trade 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 Criteria117.4061
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5706
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors34.8079
A single variable polynomial regression model attempts to put a curve through the Foreign Trade 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 Foreign Trade

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Foreign Trade Bank. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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
32.2233.6235.02
Details
Intrinsic
Valuation
LowRealHigh
32.3233.7235.12
Details
2 Analysts
Consensus
LowTargetHigh
29.2432.1335.66
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.151.261.38
Details

Other Forecasting Options for Foreign Trade

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

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 Risk & Return  Correlation

Foreign Trade Bank Technical and Predictive Analytics

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

Foreign Trade Market Strength Events

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

Foreign Trade Risk Indicators

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

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Foreign Stock Analysis

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