Pangaea Logistic Stock Forecast - Polynomial Regression
| PANL Stock | USD 5.87 0.10 1.68% |
The Polynomial Regression forecasted value of Pangaea Logistic on the next trading day is expected to be 6.07 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.52. Pangaea Stock Forecast is based on your current time horizon. Although Pangaea Logistic's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Pangaea Logistic's systematic risk associated with finding meaningful patterns of Pangaea Logistic fundamentals over time.
Pangaea |
Pangaea Logistic Polynomial Regression Price Forecast For the 26th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Pangaea Logistic on the next trading day is expected to be 6.07 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.08, and the sum of the absolute errors of 14.52.Please note that although there have been many attempts to predict Pangaea 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 Pangaea Logistic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pangaea Logistic Stock Forecast Pattern
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Pangaea Logistic Forecasted Value
In the context of forecasting Pangaea Logistic'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. Pangaea Logistic's downside and upside margins for the forecasting period are 3.76 and 8.38, respectively. We have considered Pangaea Logistic'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Pangaea Logistic stock data series using in forecasting. Note that when a statistical model is used to represent Pangaea Logistic 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.| AIC | Akaike Information Criteria | 115.5468 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.238 |
| MAPE | Mean absolute percentage error | 0.0361 |
| SAE | Sum of the absolute errors | 14.5161 |
Predictive Modules for Pangaea Logistic
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pangaea Logistic. 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.Other Forecasting Options for Pangaea Logistic
For every potential investor in Pangaea, whether a beginner or expert, Pangaea Logistic's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pangaea Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pangaea. Basic forecasting techniques help filter out the noise by identifying Pangaea Logistic's price trends.View Pangaea Logistic Related Equities
| Risk & Return | Correlation |
Pangaea Logistic 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 Pangaea Logistic'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 Pangaea Logistic's current price.| Cycle Indicators | ||
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Pangaea Logistic Market Strength Events
Market strength indicators help investors to evaluate how Pangaea Logistic stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pangaea Logistic shares will generate the highest return on investment. By undertsting and applying Pangaea Logistic stock market strength indicators, traders can identify Pangaea Logistic entry and exit signals to maximize returns.
Pangaea Logistic Risk Indicators
The analysis of Pangaea Logistic'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 Pangaea Logistic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pangaea 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.
| Mean Deviation | 1.71 | |||
| Standard Deviation | 2.32 | |||
| Variance | 5.38 |
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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Is Marine Transportation space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Pangaea Logistic. If investors know Pangaea will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Pangaea Logistic listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.74) | Dividend Share 0.4 | Earnings Share 0.47 | Revenue Per Share 11.544 | Quarterly Revenue Growth 0.129 |
The market value of Pangaea Logistic is measured differently than its book value, which is the value of Pangaea that is recorded on the company's balance sheet. Investors also form their own opinion of Pangaea Logistic's value that differs from its market value or its book value, called intrinsic value, which is Pangaea Logistic's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Pangaea Logistic's market value can be influenced by many factors that don't directly affect Pangaea Logistic's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Pangaea Logistic's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pangaea Logistic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pangaea Logistic'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.