The fund seeks to provide unitholders with exposure to the performance of a diversified portfolio of high-quality U.S. dividend-paying equity securities that will provide regular income and that have the potential for long-term capital growth. RBC QUANT is traded on Toronto Stock Exchange in Canada. Volume of about 1.2K shares indicates limited liquidity. With a beta of 0.73, RBC Quant shows lower sensitivity to broader market movements; It falls under the U.S. Dividend & Income Equity category.
RBC Quant shares are quoted at C$28.75, delivering 0.28% down on the day with an intraday range between C$28.75 and C$29.05 after opening at C$28.83. Based on structural risk metrics, RBC Quant reflects a 9% probability of significant NAV decline over the next few years. Over the last 90 trading days, RBC Quant has produced modest risk-adjusted performance, consistent with soft return metrics. The performance scores reflect data spanning February 6, 2026 through May 7, 2026. Learn more.
RBC Quant Dividend [RUD] is traded in Canada. The fund is listed under the U.S. Dividend & Income Equity category and is part of the RBC Global Asset Management Inc. family. RBC Quant Dividend at this time has CAD 230.52 million in assets. The total return for the last 3 years is 22.6%. RBC Quant is an operator in the u.s. dividend & income equity segment where revenue is driven by core operating activity and end-market demand. RBC Quant financial stability analysis For RBC Quant Dividend, the highlight set condenses the main operating, valuation, and market signals into a faster research view. The summary works best as a professional layer before deeper work is done on fundamentals, sentiment, and volatility.
ETF Notable Updates
Legal Name
RBC Quant US Dividend Leaders
Business Concentration
U.S. Dividend & Income Equity, RBC Global Asset Management Inc., (View all Sectors)
Analysts commonly use CAPM to establish the acceptable rate of return for investing in RBC Quant. Alpha and beta are the CAPM metrics that analysts use to characterize the risk-return tradeoff. The CAPM framework applied to RBC Quant reveals whether return expectations align with measured risk. Understanding RBC Quant alpha and beta is essential for making risk-informed allocation decisions.
This analysis covers sixty-one data points across the selected time horizon. The Inverse Tangent (Arctangent) transformation applies the arctangent function to RBC Quant Dividend's price series, compressing large price values into a bounded range. This can normalize extreme price movements and reveal underlying directional shifts.
Ownership mix should still be evaluated through filings, holder turnover, and governance disclosures. At micro-cap scale, institutional coverage and secondary-market liquidity are typically well established. Institutional activity around RBC Quant Dividend shapes the liquidity and governance picture. Share-count trends should still be monitored for dilution or capital-structure change. RBC Quant Dividend ownership structure should be reviewed with float and volume for realistic liquidity expectations.
For a smaller-cap like RBC Quant Dividend (34,538), benchmark pressure and redemption cycles can limit how institutional weight turns into price support. The current classification points to the U.S. Dividend & Income Equity category. Reading RBC Quant Dividend holder concentration alongside float turnover and volatility adds the best context for understanding how smaller-cap ownership shapes price.
Predictive Daily Indicators
Daily metrics for RBC Quant Dividend are most informative when combined with volume context and broader market direction. At 1,198 in daily volume, RBC Quant's daily metrics improve execution without encouraging overtrade. For U.S. Dividend & Income Equity ETFs, daily metrics are most actionable during the first and last hours when volume and volatility peak.
A forecast framework for RBC Quant at a 0.92 beta starts with observed price patterns. RBC Quant averaged 22.6% over three years. Forecast accuracy degrades over longer horizons as new information compounds. Forecast accuracy improves when models are recalibrated frequently on out-of-sample data.
Liquidity conditions influence execution cost and price efficiency. Lower trading activity may introduce occasional variability in execution conditions. The five-year return stands at 16.0%.
Methodology
Unless otherwise specified, data for RBC Quant Dividend 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. RBC Quant Dividend market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Premium/discount dynamics for RBC Quant Dividend can be shaped by underlying holdings liquidity, rebalancing schedules, and market-wide risk appetite. Assumptions: The data underlying this report is sourced from public fund disclosures, holdings reports, and market data feeds, including filings and releases published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Some updates may be delayed based on publication cadence. 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
RBC Quant Dividend may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board
Be Your Own Money Manager
A disciplined portfolio workflow around RBC Quant Dividend tests whether the position strengthens diversification, return efficiency, and aggregate portfolio fit. An allocation process that asks what the position adds to the portfolio, not just what it might do on its own, tends to produce better outcomes.
Did You Try This?
Run Theme Ratings Now
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance