Alexander Baldwin Holdings Stock Statistic Functions Beta

ALEX Stock  USD 20.85  0.01  0.05%   
The statistic functions module provides an execution environment for Beta function and related indicators on Alexander Baldwin. This view tracks statistical functions describing dispersion and variability to support structured performance interpretation without implying advice. Please specify Time Period to execute this module.

This analysis covers twenty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on Alexander Baldwin correlated with the market. If Beta is less than 0 Alexander Baldwin generally moves in the opposite direction as compared to the market. If Alexander Baldwin Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Alexander Baldwin is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Alexander Baldwin is generally in the same direction as the market. If Beta > 1 Alexander Baldwin moves generally in the same direction as, but more than the movement of the benchmark.

Alexander Baldwin Technical Analysis Modules

Technical analysis of Alexander Baldwin uses historical price and volume data to identify patterns that may signal where the Alexander trend is heading. Cycle indicators can help time entries, while momentum indicators help gauge the strength of the move.

Methodology, Assumptions & Data Sources

The Statistic Functions time series for Alexander Baldwin serves as a benchmark for evaluating directional shifts in this metric. Volatility in this series can indicate sensitivity to macro or sector-level shifts.

This section for Alexander Baldwin Holdings is built from periodic company reporting and market reference feeds, with harmonization applied to align reporting definitions. Sell-side coverage, where present, supplements the data shown. Values may update on different source schedules.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on February 21st, 2026