Dynamic Active Correlations

DXBC Etf

21.84 0.00 0.00%

The current 90-days correlation between Dynamic Active Canadian and iShares SPTSX 60 is -0.12 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dynamic Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dynamic Active Canadian moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Dynamic Active Correlation With Market

Modest diversification

The correlation between Dynamic Active Canadian and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Dynamic Active Canadian and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Dynamic Active could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dynamic Active when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dynamic Active - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dynamic Active Canadian to buy it.

Moving together with Dynamic Etf

0.91	ZAG	BMO Aggregate Bond	Pair Corr
0.91	XBB	iShares Canadian Universe	Pair Corr
0.89	TCLB	TD Canadian Long	Pair Corr
0.75	CCRE	CIBC Core Fixed	Pair Corr

Moving against Dynamic Etf

0.67	NDIV	NBI Canadian Dividend	Pair Corr
0.52	HFU	BetaPro SPTSX Capped	Pair Corr
0.5	ZEB	BMO SPTSX Equal	Pair Corr
0.5	MXF	CI First Asset	Pair Corr
0.46	XIU	iShares SPTSX 60	Pair Corr
0.46	XIC	iShares Core SPTSX	Pair Corr
0.46	ZCN	BMO SPTSX Capped	Pair Corr
0.4	FHM	First Trust NYSE	Pair Corr
0.32	TCLV	TD Q Canadian	Pair Corr
0.31	HLPR	Global X Laddered	Pair Corr
0.56	BFIN	Brompton North American	Pair Corr
0.53	PXC	Invesco RAFI Canadian	Pair Corr
0.52	XCV	iShares Canadian Value	Pair Corr
0.51	HEWB	Global X Equal	Pair Corr
0.49	CIC	CI Canadian Banks	Pair Corr
0.49	QCE	Mackenzie Canadian Large	Pair Corr
0.48	HXU	BetaPro SP TSX	Pair Corr
0.47	EBNK	Evolve European Banks	Pair Corr
0.46	FLCD	Franklin FTSE Canada	Pair Corr
0.46	GLDX	Global X Gold	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.53	-0.61	0.51	-0.55	0.22	-0.16	-0.53	-0.6	META
MSFT	0.66		0.83	-0.52	0.37	-0.19	0.05	-0.34	-0.77	-0.61	MSFT
UBER	0.53	0.83		-0.61	0.56	-0.23	-0.18	-0.32	-0.85	-0.6	UBER
F	-0.61	-0.52	-0.61		-0.69	0.49	0.32	0.44	0.68	0.75	F
T	0.51	0.37	0.56	-0.69		-0.45	-0.53	-0.26	-0.51	-0.48	T
A	-0.55	-0.19	-0.23	0.49	-0.45		-0.2	-0.27	0.4	0.19	A
CRM	0.22	0.05	-0.18	0.32	-0.53	-0.2		0.41	0.11	0.2	CRM
JPM	-0.16	-0.34	-0.32	0.44	-0.26	-0.27	0.41		0.38	0.44	JPM
MRK	-0.53	-0.77	-0.85	0.68	-0.51	0.4	0.11	0.38		0.66	MRK
XOM	-0.6	-0.61	-0.6	0.75	-0.48	0.19	0.2	0.44	0.66		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

UBER	+ 0.83	MSFT
XOM	+ 0.75	F
MRK	+ 0.68	F
MSFT	+ 0.66	META
XOM	+ 0.66	MRK
T	+ 0.56	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.69	F
F	- 0.61	UBER
XOM	- 0.61	MSFT
F	- 0.61	META

Dynamic Active Competition 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
META	1.38	(0.27)	0.00	(0.20)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.68	(1.65)	3.38	(2.63)	16.30
T	0.95	(0.22)	0.00	(0.71)	0.00	0.00	1.61	(2.18)	5.75
A	1.23	0.08	0.06	0.15	1.26	(1.33)	2.34	(2.21)	11.03
CRM	1.54	0.05	0.03	0.13	1.98	(1.51)	3.66	(2.92)	9.91
JPM	1.05	(0.02)	0.00	0.06	1.39	(1.07)	2.00	(1.91)	7.02
MRK	1.44	0.40	0.28	0.54	1.07	(1.80)	4.85	(2.06)	11.45
XOM	0.94	0.05	(0.01)	0.28	0.98	(1.01)	1.96	(1.51)	4.99

Dynamic Active Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Dynamic Active etf to make a market-neutral strategy. Peer analysis of Dynamic Active could also be used in its relative valuation, which is a method of valuing Dynamic Active by comparing valuation metrics with similar companies.

iShares SPTSX 60 iShares Core SP iShares Core SPTSX BMO Aggregate Bond iShares Canadian Universe BMO SPTSX Capped BMO SP 500 TD Canadian Long Vanguard SP 500 BMO SPTSX Equal American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

Risk & Return

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