Pangaea Logistic Stock Forward View - Simple Regression

PANL Stock  USD 7.84  -0.03  -0.38%   
Simple Regression is applied to Pangaea Logistic's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. These values update automatically with each new closing price. The Simple Regression model projects Pangaea Logistic at 7.08 for the next trading day, below the most recent closing price. This Simple Regression output is provided as analytical reference and does not constitute a trading recommendation.
Simple regression fits a straight line through Pangaea Logistic price points using a single independent variable (time). The line is defined by Y = intercept + slope * X, where the slope captures the average rate of price change and the intercept represents the baseline price level.

Simple Regression Price Forecast For the 11th of May 2026

Over a 90-day horizon, the Simple Regression model forecasts Pangaea Logistic at 7.08 for the next trading day, with a mean absolute deviation of 0.57 , mean absolute percentage error of 0.07 , and sum of absolute errors of 34.73 .
This indicates moderate forecast accuracy — the model captures the general trend but not all short-term variation in Pangaea Logistic's price. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest Pangaea Logistic  Pangaea Logistic Price Prediction  Research Analysis  

Forecasted Value

The projected range for Pangaea Logistic reflects the model's ability to define credible downside and upside scenarios for the next trading day. Downside is estimated near 4.07 and upside near 10.08. The wide range indicates elevated uncertainty in short-term projections.
Market Value
7.84
7.08
Expected Value
10.08

Model Predictive Factors

The table below summarizes the Simple Regression model's error metrics for Pangaea Logistic stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria117.3081
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5694
MAPEMean absolute percentage error0.074
SAESum of the absolute errors34.7328
A positive slope indicates an upward price trend over the selected period; a negative slope indicates a downward trend. The R-squared value measures how well the linear model fits Pangaea Logistic price history — values near 1.0 indicate a strong linear trend, while low values suggest that price movement is not well explained by a simple time-based trend.

Other Forecasting Options for Pangaea Logistic

Pangaea Logistic's daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Pangaea Logistic often signals an upcoming reversal or acceleration. Gap analysis of Pangaea Logistic Stock data examines overnight jumps between Pangaea Logistic's closing and opening prices.

Pangaea Logistic Related Equities

The peer firms below within the Industrials space frame Pangaea Logistic's pricing and running costs in context. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Pangaea Logistic's peer group. Identifying peers that steadily beat or lag Pangaea Logistic across many periods highlights durable competitive gaps.
 Risk & Return  Correlation

Pangaea Logistic Market Strength Events

Market strength indicators for Pangaea Logistic stock provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in Pangaea Logistic. Median and Typical Price smooth out intraday extremes, providing a cleaner reference level for evaluating Pangaea Logistic sessions.

Pangaea Logistic Risk Indicators

Assessing Pangaea Logistic's risk indicators is a structured way to evaluate the risk-return trade-off for pangaea logistic stock. The level of risk embedded in Pangaea Logistic's feeds directly into exposure calibration. Comparing Pangaea Logistic's downside variance to total variance reveals whether the risk profile is skewed toward losses.
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.

Pangaea Logistic Short Properties

Reviewing short-oriented indicators for Pangaea Logistic is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
Common Stock Shares Outstanding64.7 million
Cash And Short Term Investments103.05 million

More Resources for Pangaea Logistic Stock Analysis

A structured review of Pangaea Logistic begins with its financial statements and broad trends. The dataset reflects Pangaea Logistic's reporting across available periods.