Ashmore Emerging Markets Fund Statistic Functions Linear Regression Angle

EFEIX Fund  USD 13.14  -0.24  -1.79%   
This statistic functions tool runs Linear Regression Angle function and companion studies for Ashmore Emerging. This view tracks statistical functions describing dispersion and variability to support structured performance interpretation without implying advice.Select Time Period to execute this module.

Execute Function
This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression Angle indicator plots the angel of the trend line for each Ashmore Emerging Markets data point.

Ashmore Emerging Technical Analysis Modules

Most technical analysis of Ashmore Emerging 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 Ashmore from various momentum indicators to cycle indicators. When you analyze Ashmore 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

Liquidity and pricing cadence can influence observed volatility and execution context. Lower trading activity may introduce occasional variability in execution conditions. The five-year return stands at 11.0%.

Methodology

Unless otherwise specified, data for Ashmore Emerging Markets 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. Ashmore Emerging Markets market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report references public fund disclosures, holdings reports, and market data feeds and institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain datasets may update with delay depending on source availability. 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

Ashmore Emerging Markets 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:

Michael Smolkin - Member of Macroaxis Board of Directors
Last reviewed on March 10th, 2026

Be your own money manager

Tracking Ashmore Emerging inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. The stronger process keeps portfolio transparency high without forcing constant manual review of every holding.

Generate Optimal Portfolios

Align your risk and return expectations

Risk tolerance and time horizon inputs allow Macroaxis optimization to estimate acceptable risk levels. The output provides a structured risk context for return targets.