Parnassus Mid Cap Fund Statistic Functions Linear Regression

PFPMX Fund

USD 37.69 0.03 0.08%

This statistic functions tool runs Linear Regression function and companion studies for PARNASSUS MID. The focus on statistical functions describing dispersion and variability helps organize trend, volatility, and risk context for PARNASSUS MID.Provide Time Period to start the analysis.

Symbol

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of Parnassus Mid Cap and its peer or benchmark and helps predict PARNASSUS MID future price from its past values.

PARNASSUS MID Technical Analysis Modules

Most technical analysis of PARNASSUS MID 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 PARNASSUS from various momentum indicators to cycle indicators. When you analyze PARNASSUS 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.

	Cycle Indicators
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

Mutual Fund Overview, Methodology & Data Sources

This overview summarizes how PARNASSUS MID may fit into diversified allocations without assuming direction. The current allocation is approximately 97.0% equities and 3.0% cash. It is classified under Mid-Cap Blend within the Parnassus family.

Methodology

Unless otherwise specified, data for Parnassus Mid Cap 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. Parnassus Mid Cap 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

Parnassus Mid Cap 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:

Rifka Kats - Member of Macroaxis Editorial Board

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Tracking PARNASSUS MID inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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