UBS Total Return Fund Statistic Functions Linear Regression Slope

UTBAX Fund  USD 13.36  -0.04  -0.30%   
The statistic functions module provides an execution environment for Linear Regression Slope function and related indicators on UBS TOTAL. It emphasizes statistical functions describing dispersion and variability while keeping volatility, risk, and performance context in view.Please specify Time Period to run this model.

Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression Slope is the rate of change in UBS Total Return price series over its benchmark or peer price series.

UBS TOTAL Technical Analysis Modules

Most technical analysis of UBS TOTAL help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for UBS from various momentum indicators to cycle indicators. When you analyze UBS charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Mutual Fund Overview, Methodology & Data Sources

The fund overview for UBS TOTAL summarizes mandate, holdings profile, and risk characteristics. The fund has exposure to UBS Asset Management Funds, Large Funds, Intermediate Core-Plus Bond Funds. The current allocation is approximately 7.0% bonds and 9.0% cash. It is classified under Intermediate Core-Plus Bond within the UBS Asset Management family.

Methodology

Unless otherwise specified, data for UBS Total Return is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. UBS Total Return market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

UBS Total Return may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board

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