iShares Floating Rate ETF Statistic Functions Linear Regression

XFR ETF  CAD 20.02  -0.01  -0.05%   
The statistic functions framework organizes Linear Regression function across IShares Floating. The analysis emphasizes statistical functions describing dispersion and variability while framing volatility and risk context. Provide Time Period to execute this module.

Execute Function
This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression model generates relationship between price series of iShares Floating Rate and its peer or benchmark and helps predict IShares Floating future price from its past values.

IShares Floating Technical Analysis Modules

A technical review of IShares Floating evaluates how price, volume, and momentum indicators converge or diverge to signal directional bias. Price transforms can expose non-obvious relationships in IShares's historical data.

Methodology, Assumptions & Data Sources

Below you can see IShares Floating's Statistic Functions across recent years. Some metrics drift back toward their average over time.

For iShares Floating Rate, this section uses fund disclosures and market reference feeds and standardizes the results for cross-period comparison. Intraday timing differences may exist.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 16th, 2026