TD Active Correlations

TUEX Etf

30.21 0.11 0.37%

The current 90-days correlation between TD Active Enhanced and Fidelity Canadian Monthly is 0.33 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as TD Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TD Active Enhanced moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

TD Active Correlation With Market

Poor diversification

The correlation between TD Active Enhanced and DJI is 0.74 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding TD Active Enhanced and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to TD 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 TD 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 TD 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 TD Active Enhanced to buy it.

Moving together with TUEX Etf

0.63	ZUE	BMO SP 500	Pair Corr
0.63	HOU	BetaPro Crude Oil	Pair Corr
0.69	ZUD	BMO Dividend Hedged	Pair Corr
0.72	HXU	BetaPro SP TSX	Pair Corr
0.63	XSH	iShares Core Canadian	Pair Corr
0.66	AMAX	Hamilton Gold Producer	Pair Corr
0.7	ZCON	BMO Conservative ETF	Pair Corr
0.62	DXN	Dynamic Active Global	Pair Corr
0.77	MINT-B	Manulife Multifactor	Pair Corr
0.71	HPF	Harvest Energy Leaders	Pair Corr
0.64	WSHR	Wealthsimple Shariah	Pair Corr
0.68	XEN	iShares Jantzi Social	Pair Corr
0.71	XEU	iShares MSCI Europe	Pair Corr
0.61	ZMID	BMO SP Mid	Pair Corr
0.75	HXX	Global X Europe	Pair Corr
0.65	DXAU	Dynamic Active Global	Pair Corr
0.73	NMNG	Ninepoint Mining Evo	Pair Corr
0.61	CTMB	CI Target 2029	Pair Corr

Moving against TUEX Etf

0.81	HIU	BetaPro SP 500	Pair Corr
0.73	HXD	BetaPro SPTSX 60	Pair Corr
0.63	HED	BetaPro SPTSX Capped	Pair Corr
0.61	HQD	BetaPro NASDAQ 100	Pair Corr
0.39	FHC	First Trust Dow	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.41	-0.46	0.43	0.16	-0.53	-0.1	0.33	0.48	0.43	META
MSFT	-0.41		0.8	-0.53	-0.65	0.71	0.81	0.06	-0.85	-0.91	MSFT
UBER	-0.46	0.8		-0.46	-0.48	0.78	0.53	-0.09	-0.8	-0.74	UBER
F	0.43	-0.53	-0.46		0.06	-0.41	-0.23	0.3	0.68	0.6	F
T	0.16	-0.65	-0.48	0.06		-0.39	-0.75	-0.13	0.4	0.58	T
A	-0.53	0.71	0.78	-0.41	-0.39		0.48	-0.04	-0.63	-0.78	A
CRM	-0.1	0.81	0.53	-0.23	-0.75	0.48		0.44	-0.56	-0.81	CRM
JPM	0.33	0.06	-0.09	0.3	-0.13	-0.04	0.44		0.21	-0.08	JPM
MRK	0.48	-0.85	-0.8	0.68	0.4	-0.63	-0.56	0.21		0.82	MRK
XOM	0.43	-0.91	-0.74	0.6	0.58	-0.78	-0.81	-0.08	0.82		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

XOM	+ 0.82	MRK
CRM	+ 0.81	MSFT
UBER	+ 0.8	MSFT
A	+ 0.78	UBER
A	+ 0.71	MSFT
MRK	+ 0.68	F

High negative correlations

XOM	- 0.91	MSFT
MRK	- 0.85	MSFT
XOM	- 0.81	CRM
MRK	- 0.8	UBER
XOM	- 0.78	A
CRM	- 0.75	T

TD Active Competition Risk-Adjusted Indicators

There is a big difference between TUEX Etf performing well and TD 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 TD 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	1.51	0.00	(0.02)	0.06	1.53	(1.82)	3.43	(2.82)	13.69
MSFT	1.32	(0.36)	0.00	(0.92)	0.00	0.00	1.90	(2.74)	13.28
UBER	1.50	(0.46)	0.00	(0.90)	0.00	0.00	2.41	(3.82)	11.09
F	1.22	0.07	0.05	0.14	1.20	(1.48)	3.34	(2.30)	7.16
T	1.02	0.23	0.17	3.71	0.77	(1.19)	3.87	(1.54)	5.31
A	1.27	(0.30)	0.00	(0.17)	0.00	0.00	2.90	(2.73)	7.85
CRM	1.68	(0.41)	0.00	(0.35)	0.00	0.00	2.94	(4.75)	12.37
JPM	1.26	(0.15)	0.00	(0.04)	0.00	0.00	2.34	(3.11)	7.38
MRK	1.35	0.49	0.35	0.77	0.97	(1.72)	3.59	(1.98)	8.74
XOM	1.24	0.36	0.22	1.65	1.11	(1.42)	2.68	(2.12)	6.83

Be your own money manager

Our tools can tell you how much better you can do entering a position in TD Active without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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