UBS ETF (Switzerland) Statistic Functions Beta

SMICHA Etf  CHF 126.84  -3.12  -2.40%   
The statistic functions workspace evaluates Beta function for UBS ETF. The dataset reflects historical price and volume inputs. Signals center on statistical functions describing dispersion and variability alongside volatility and performance context. Select Time Period to run the technical study.

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

UBS ETF Technical Analysis Modules

Technical analysis of UBS ETF uses historical price and volume data to identify patterns that may signal where the UBS trend is heading. Confirming signals across multiple timeframes reduces the likelihood of acting on noise rather than genuine trend shifts.

Methodology, Assumptions & Data Sources

Below is UBS ETF's Statistic Functions history. Watch for quarters where the pace speeds up or slows down.

Inputs for UBS ETF SMI come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 15th, 2026