Dynamic Active Competition
| DXO Etf | CAD 19.56 -0.11 -0.56% |
Dynamic Active and IShares MSCI Correlation Snapshot
Very poor diversification
The correlation between DXO and XMV is 0.87, which Macroaxis classifies as Very poor diversification for the selected horizon. The overlap area represents the portion of risk that may be diversified away when both instruments are held together and nothing else in the portfolio changes.
Moving together with Dynamic Etf
Investors who believe in mean reversion view Dynamic Active's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
Dynamic Active Competition Correlation Matrix
Correlation analysis between Dynamic Active Crossover and its competitors helps investors understand whether diversification is real or only superficial inside the same peer group. This matrix is most informative when investors want to know whether adding another peer would improve diversification, increase crowding, or leave total risk largely unchanged.
High positive correlations
| High negative correlations
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Dynamic Active Constituents Risk-Adjusted Indicators
There is a big difference between Dynamic Etf performing well and Dynamic Active ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Dynamic Active's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| TCSB | 0.09 | 0.00 | 0.10 | -0.09 | 0.09 | 0.20 | 0.47 | |||
| ZPS | 0.10 | -0.01 | 0.06 | -0.83 | 0.14 | 0.24 | 0.65 | |||
| CRED | 0.08 | -0.01 | 0.08 | 0.45 | 0.10 | 0.20 | 0.64 | |||
| ZFS | 0.08 | -0.01 | 0.00 | -0.36 | 0.00 | 0.14 | 0.65 | |||
| FLSD | 0.09 | 0.00 | 0.11 | -0.62 | 0.09 | 0.21 | 0.52 | |||
| MCLC | 0.58 | 0.09 | 0.10 | 0.16 | 0.89 | 1.02 | 3.62 | |||
| ZEQ | 0.56 | 0.02 | 0.03 | 0.01 | 0.82 | 0.99 | 3.58 | |||
| ZWK | 1.01 | -0.06 | 0.00 | -0.08 | 0.00 | 2.11 | 7.26 | |||
| TPRF | 0.15 | 0.03 | 0.21 | 1.22 | 0.00 | 0.33 | 0.96 | |||
| XMV | 0.41 | 0.06 | 0.12 | 0.17 | 0.50 | 0.89 | 2.75 |
Dynamic Active Competitive Analysis
Investors tracking Dynamic Active should compare Dynamic Active's financial results to its peer group to contextualize performance. A company that consistently outperforms Dynamic Active's competitors on margin and growth metrics is typically a stronger long-term hold.| Better Than Average | Worse Than Peers | View Performance Chart |
Dynamic Active Peer Performance Charts
How to Analyze Dynamic Active Against Peers
Dynamic Active's peer analysis compares Dynamic Active with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:- Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
- Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
- Check valuation dispersion: Review whether Dynamic Active trades at a premium or discount versus peers and why.
- Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
- Document the thesis: Record where Dynamic Active leads or lags and what catalysts could close or widen the gap.