BMO Low Correlations

ZLI Etf

CAD 28.79 0.22 0.77%

The current 90-days correlation between BMO Low Volatility and Fidelity Canadian High is 0.15 (i.e., Average diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as BMO Low moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Low Volatility moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

BMO Low Correlation With Market

Modest diversification

The correlation between BMO Low Volatility and DJI is 0.25 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding BMO Low Volatility and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to BMO Low could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BMO Low 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 BMO Low - 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 BMO Low Volatility to buy it.

Moving together with BMO Etf

0.74	ZAG	BMO Aggregate Bond	Pair Corr
0.76	XBB	iShares Canadian Universe	Pair Corr
0.75	TCLB	TD Canadian Long	Pair Corr

Moving against BMO Etf

0.63	ZEB	BMO SPTSX Equal	Pair Corr
0.52	XIU	iShares SPTSX 60	Pair Corr
0.52	XIC	iShares Core SPTSX	Pair Corr
0.52	ZCN	BMO SPTSX Capped	Pair Corr
0.39	VEF	Vanguard FTSE Developed	Pair Corr
0.35	XFH	iShares Core MSCI	Pair Corr
0.33	ZDM	BMO MSCI EAFE	Pair Corr
0.31	XIN	iShares MSCI EAFE	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.43	-0.53	0.34	-0.35	0.27	-0.24	-0.4	-0.53	META
MSFT	0.66		0.86	-0.54	0.42	-0.03	-0.02	-0.46	-0.82	-0.65	MSFT
UBER	0.43	0.86		-0.57	0.51	0.16	-0.25	-0.51	-0.86	-0.67	UBER
F	-0.53	-0.54	-0.57		-0.64	0.23	0.33	0.57	0.63	0.75	F
T	0.34	0.42	0.51	-0.64		0.21	-0.64	-0.54	-0.37	-0.57	T
A	-0.35	-0.03	0.16	0.23	0.21		-0.5	-0.33	-0.05	-0.02	A
CRM	0.27	-0.02	-0.25	0.33	-0.64	-0.5		0.5	0.2	0.3	CRM
JPM	-0.24	-0.46	-0.51	0.57	-0.54	-0.33	0.5		0.61	0.62	JPM
MRK	-0.4	-0.82	-0.86	0.63	-0.37	-0.05	0.2	0.61		0.76	MRK
XOM	-0.53	-0.65	-0.67	0.75	-0.57	-0.02	0.3	0.62	0.76		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	+ 0.86	MSFT
XOM	+ 0.76	MRK
XOM	+ 0.75	F
MSFT	+ 0.66	META
MRK	+ 0.63	F
XOM	+ 0.62	JPM

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.82	MSFT
XOM	- 0.67	UBER
XOM	- 0.65	MSFT
CRM	- 0.64	T
T	- 0.64	F

BMO Low Competition Risk-Adjusted Indicators

There is a big difference between BMO Etf performing well and BMO Low 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 BMO Low'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	1.37	(0.18)	0.00	(0.12)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.91	(0.18)	0.00	(0.27)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.47	(0.33)	0.00	(0.28)	0.00	0.00	2.60	(3.82)	10.51
F	1.45	0.07	0.05	0.12	1.67	(1.58)	3.38	(2.63)	16.30
T	0.93	(0.17)	0.00	(0.61)	0.00	0.00	1.61	(1.98)	5.75
A	1.10	(0.04)	(0.02)	0.04	1.32	(1.15)	2.12	(2.21)	6.50
CRM	1.52	0.07	0.03	0.15	1.97	(1.50)	3.66	(2.92)	9.91
JPM	1.09	0.02	0.03	0.09	1.39	(1.15)	2.34	(1.91)	7.02
MRK	1.21	0.22	0.16	0.35	1.14	(1.50)	3.59	(1.98)	8.09
XOM	0.93	0.16	0.11	0.56	0.80	(1.05)	2.10	(1.41)	4.99

Be your own money manager

Our tools can tell you how much better you can do entering a position in BMO Low 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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