Dynamic Active Competition

Dynamic Active Global operates alongside BMO SAMPPTSX, BMO Low, Global X, Harvest Global, and BMO Put and other firms in the same space. This provides context for comparative analysis. Peer analytics here show whether Dynamic Active outperforms competitors on quality and value.

Dynamic Active and Invesco RAFI Correlation Overview

Poor diversification

The correlation between DXN and PZW is 0.71, which Macroaxis classifies as 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

0.99	RIIN	Russell Investments	Pair Corr
0.89	CINF	CI Global Infrastructure	Pair Corr
0.99	TINF	TD Active Global	Pair Corr
0.98	NREA	NBI Global Real	Pair Corr
0.96	BREA	Brompton Sustainable Real	Pair Corr

Moving against Dynamic Etf

0.74	PAYF	Purpose Enhanced Premium	Pair Corr
0.72	ZPH	BMO Put Write	Pair Corr
0.7	TXF	First Asset Tech	Pair Corr

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Mean reversion opportunities in Dynamic Active's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.

Hype

Prediction

Low	Estimated	High
24.82	25.53	26.24

Details

Intrinsic

Valuation

Low	Real	High
24.74	25.45	26.16

Details

Naive

Forecast

Low	Next	High
23.97	24.67	25.38

Details

Bollinger

Band Projection (param)

Lower	Middle Band	Upper
24.15	25.64	27.12

Details

Relative analysis of Dynamic Active against direct competitors reveals whether Dynamic Active's current valuation reflects a genuine competitive advantage or simply market-wide multiple expansion that applies to all sector peers.

Dynamic Active Competition Correlation Matrix

Correlation analysis between Dynamic Active Global 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.

	ZMT	ZLD	INOC	HGGG	NRGU	ZPH	CARS	HMP	DRMD	PZW
ZMT		0.62	0.67	0.87	0.6	-0.3	0.5	0.69	0.81	0.88	ZMT
ZLD	0.62		0.9	0.73	0.73	-0.58	-0.07	0.92	0.79	0.71	ZLD
INOC	0.67	0.9		0.83	0.87	-0.66	-0.1	0.9	0.67	0.72	INOC
HGGG	0.87	0.73	0.83		0.73	-0.47	0.26	0.82	0.72	0.82	HGGG
NRGU	0.6	0.73	0.87	0.73		-0.81	-0.2	0.77	0.49	0.54	NRGU
ZPH	-0.3	-0.58	-0.66	-0.47	-0.81		0.25	-0.63	-0.32	-0.34	ZPH
CARS	0.5	-0.07	-0.1	0.26	-0.2	0.25		0.01	0.41	0.49	CARS
HMP	0.69	0.92	0.9	0.82	0.77	-0.63	0.01		0.8	0.79	HMP
DRMD	0.81	0.79	0.67	0.72	0.49	-0.32	0.41	0.8		0.89	DRMD
PZW	0.88	0.71	0.72	0.82	0.54	-0.34	0.49	0.79	0.89		PZW
	ZMT	ZLD	INOC	HGGG	NRGU	ZPH	CARS	HMP	DRMD	PZW

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High positive correlations

HMP	+ 0.92	ZLD
INOC	+ 0.9	ZLD
HMP	+ 0.9	INOC
PZW	+ 0.89	DRMD
PZW	+ 0.88	ZMT
HGGG	+ 0.87	ZMT

High negative correlations

ZPH	- 0.81	NRGU
ZPH	- 0.66	INOC
HMP	- 0.63	ZPH
ZPH	- 0.58	ZLD
ZPH	- 0.47	HGGG
PZW	- 0.34	ZPH

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
ZMT	2.16	0.30	0.09	0.18	2.86	-2.17	3.80	-5.45	12.83
ZLD	0.39	0.05	0.17	-2.01	0.46	-0.41	0.74	-0.83	3.05
INOC	0.61	0.08	0.15	3.24	0.65	-0.68	1.52	-1.61	3.86
HGGG	2.33	0.23	0.06	0.25	3.59	-2.17	4.08	-5.53	14.99
NRGU	2.38	0.92	0.33	-21.90	2.36	-2.87	5.11	-3.07	10.45
ZPH	0.33	-0.04	0.00	-0.17	0.00	0.00	0.50	-0.86	1.93
CARS	1.31	0.00	0.00	-0.05	0.00	0.00	2.48	-2.98	8.81
HMP	0.12	-0.01	0.21	0.07	0.12	-0.19	0.31	-0.21	0.72
DRMD	0.60	0.02	0.05	0.00	0.95	-0.58	1.14	-1.59	4.39
PZW	0.63	0.03	0.08	0.26	0.75	-0.81	1.75	-1.26	5.02

Dynamic Active Competitive Analysis

Better Than Average

Worse Than Peers

View Performance Chart

	DXN	ZMT	ZLD	INOC	HGGG	NRGU	ZPH	CARS	HMP	DRMD
	0.24 25.51 Dynamic	4.15 114.98 BMO	0.1 30.64 BMO	0.82 18.05 Global	6.49 97.25 Harvest	0.45 55.80 BetaPro	0.37 13.62 BMO	1.33 25.93 Evolve	0.31 9.70 Global	0.65 32.34 Desjardins
Market Volatility (90 Days Market Risk)	Very Low	Very Low	Very Low	Very Low	Very Low	Very Low	Very Low	Very Low	Very Low	Very Low
Market Performance (90 Days Performance)	Balanced	Moderate	Moderate	Moderate	Contained	Constructive	Weak	Weak	Soft	Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Unknown	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Fairly Valued	Fairly Valued	Fairly Valued	Fairly Valued	Over Valued	Over Valued	Fairly Valued	Fairly Valued	Fairly Valued	Fairly Valued
Buy or Sell Analysis (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Buy	Hold	Strong Hold	Hold	Strong Hold	Strong Sell	Hold	Strong Hold	Cautious Hold	Strong Hold
Holdings Turnover	N/A	178.24	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Net Asset	15.85 M	17.67 M	76.1 M	25.67 M	5.93 M	N/A	9.23 M	8.76 M	95.28 M	52.89 M
Price To Book	N/A	N/A	1.97	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Five Year Return	9.1	15.5	8.0	12.0	29.7	N/A	6.1	-12.3	2.1	10.4
One Year Return	21.2	88.8	8.6	27.6	133.0	N/A	8.8	37.7	3.2	14.0
Last Dividend Paid	N/A	0.31	0.14	0.0592	N/A	N/A	0.1	0.011	0.0188	N/A
Beta	0.96	0.85	0.66	0.74	1.08	N/A	0.3	1.95	1.13	0.98
Price To Earning	N/A	N/A	19.33	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Price To Sales	N/A	N/A	1.67	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Equity Positions Weight	93.56	99.63	98.26	99.64	99.52	N/A	39.93	57.54	N/A	98.89
Three Year Return	12.5	30.8	11.0	16.4	54.9	N/A	10.1	0.7	4.5	15.8
Annual Yield	N/A	0.0394	N/A	N/A	N/A	N/A	0.0863	0.0125	0.0313	N/A
Bond Positions Weight	N/A	N/A	N/A	N/A	N/A	N/A	35.62	N/A	99.51	N/A
Ten Year Return	N/A	15.6	6.7	N/A	N/A	N/A	N/A	N/A	2.2	N/A
Day Typical Price	25.51	116.62	30.64	18.05	98.79	55.74	13.64	26.1	9.71	32.37
Accumulation Distribution	N/A	0.041	N/A	N/A	0.0456	0.0259	0.0037	0.0197	0.0031	0.0049
Market Facilitation Index	N/A	4.92	N/A	N/A	4.65	1.46	0.05	0.52	0.03	0.16
Daily Balance Of Power	9.2 T	-1.01	0	0	-1.45	0.1712	-1.00	-0.67	-1.00	-1.31
Period Momentum Indicator	0.06	-4.98	-0.03	-0.15	-6.75	0.25	-0.05	-0.35	-0.03	-0.21
Rate Of Daily Change	1.0	0.96	1.0	0.99	0.94	1.0	1.0	0.99	1.0	0.99
Day Median Price	25.51	117.44	30.64	18.05	99.57	55.71	13.65	26.19	9.72	32.39
Price Action Indicator	0.03	-4.95	-0.01	-0.07	-5.69	0.21	-0.05	-0.44	-0.03	-0.15
Coefficient Of Variation	621.93	1121.64	856.53	885.88	1532.45	317.42	-999.66	-7,426	3228.06	8291.36
Mean Deviation	0.5447	2.16	0.3888	0.6058	2.33	2.38	0.3273	1.31	0.1248	0.5958
Jensen Alpha	0.1074	0.2987	0.0481	0.0841	0.2333	0.9225	-0.04	-0.0014	-0.01	0.0234
Total Risk Alpha	0.1433	0.3966	0.0777	0.1294	0.3771	1.09	-0.03	0.0645	0.0047	0.0468
Sortino Ratio	0.2283	0.089	0.1692	0.152	0.0618	0.3308	N/A	N/A	0.2119	0.0452
Downside Variance	0.4222	10.17	0.3086	0.7072	15.42	8.58	N/A	N/A	0.0357	0.9834
Standard Deviation	0.7059	2.79	0.5067	0.8236	3.18	2.97	0.4301	1.73	0.1685	0.8298
Kurtosis	0.2985	0.353	1.29	0.766	1.1	0.2841	0.6622	0.7602	0.3231	2.07
Potential Upside	1.19	3.8	0.7375	1.52	4.08	5.11	0.4996	2.48	0.309	1.14
Treynor Ratio	1.18	0.1798	-2.01	3.24	0.2489	-21.90	-0.17	-0.05	0.0693	0.0
Maximum Drawdown	3.5	12.83	3.05	3.86	14.99	10.45	1.93	8.81	0.7204	4.39
Variance	0.4983	7.81	0.2567	0.6783	10.13	8.8	0.185	3.01	0.0284	0.6886
Market Risk Adjusted Performance	1.19	0.1898	-2.00	3.25	0.2589	-21.89	-0.16	-0.04	0.0793	0.01
Risk Adjusted Performance	0.1266	0.078	0.0871	0.0901	0.0594	0.2578	-0.09	-0.01	-0.01	0.01
Skewness	-0.05	-0.64	-0.39	-0.20	-0.94	-0.45	-0.73	0.3689	0.2257	-1.07
Semi Deviation	0.478	2.86	0.4615	0.6517	3.59	2.36	N/A	N/A	0.1178	0.9502
Information Ratio	0.2101	0.1016	0.1855	0.1552	0.0762	0.3268	-0.02	0.0066	0.2377	0.054
Value At Risk	-1.01	-5.45	-0.83	-1.61	-5.53	-3.07	-0.86	-2.98	-0.21	-1.59
Expected Short fall	-0.73	-2.17	-0.41	-0.68	-2.17	-2.87	N/A	N/A	-0.19	-0.58
Downside Deviation	0.6498	3.19	0.5555	0.8409	3.93	2.93	N/A	N/A	0.189	0.9917
Semi Variance	0.2285	8.16	0.213	0.4247	12.92	5.57	N/A	N/A	0.0139	0.9028

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.

Use this as an educational baseline, then validate conclusions with current filings, market conditions, and portfolio objectives.

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

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Dynamic Active Competition

Dynamic Active and Invesco RAFI Correlation Overview

Poor diversification

Moving together with Dynamic Etf

Moving against Dynamic Etf

Specify up to 10 symbols:

Dynamic Active Competition Correlation Matrix

High positive correlations

High negative correlations

Dynamic Active Constituents Risk-Adjusted Indicators

Dynamic Active Competitive Analysis

Peer Performance Charts

How to Analyze Dynamic Active Against Peers

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