CI 1 Correlations

BXF Etf

CAD 10.24 0.01 0.1%

The current 90-days correlation between CI 1 5 and BMO Discount Bond is 0.6 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as CI 1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI 1 5 Year moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

CI 1 Correlation With Market

Average diversification

The correlation between CI 1 5 Year and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding CI 1 5 Year and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to CI 1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CI 1 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 CI 1 - 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 CI 1 5 Year to buy it.

Moving together with BXF Etf

0.65	HGU	BetaPro Canadian Gold	Pair Corr
0.62	HBU	BetaPro Gold Bullion	Pair Corr

Moving against BXF Etf

0.4	YNVD	NVIDIA Yield Shares	Pair Corr
0.35	FBTC	Fidelity Advantage	Pair Corr
0.35	EBIT	Bitcoin ETF CAD	Pair Corr
0.35	BTCQ	3iQ Bitcoin ETF	Pair Corr
0.35	BTCY	Purpose Bitcoin Yield	Pair Corr
0.34	BTCC	Purpose Bitcoin CAD	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.44	0.59	-0.64	0.75	0.3	-0.21	0.85	-0.83	-0.32	META
MSFT	-0.44		-0.65	0.39	-0.6	0.27	0.76	-0.51	0.62	0.01	MSFT
UBER	0.59	-0.65		-0.2	0.75	-0.09	-0.53	0.74	-0.76	0.33	UBER
F	-0.64	0.39	-0.2		-0.38	0.04	0.44	-0.39	0.64	0.74	F
T	0.75	-0.6	0.75	-0.38		-0.17	-0.42	0.69	-0.78	0.04	T
A	0.3	0.27	-0.09	0.04	-0.17		0.3	0.44	0.04	-0.11	A
CRM	-0.21	0.76	-0.53	0.44	-0.42	0.3		-0.31	0.47	0.1	CRM
JPM	0.85	-0.51	0.74	-0.39	0.69	0.44	-0.31		-0.79	-0.04	JPM
MRK	-0.83	0.62	-0.76	0.64	-0.78	0.04	0.47	-0.79		0.17	MRK
XOM	-0.32	0.01	0.33	0.74	0.04	-0.11	0.1	-0.04	0.17		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

JPM	+ 0.85	META
CRM	+ 0.76	MSFT
T	+ 0.75	META
T	+ 0.75	UBER
JPM	+ 0.74	UBER
XOM	+ 0.74	F

High negative correlations

MRK	- 0.83	META
MRK	- 0.79	JPM
MRK	- 0.78	T
MRK	- 0.76	UBER
UBER	- 0.65	MSFT
F	- 0.64	META

CI 1 Competition Risk-Adjusted Indicators

There is a big difference between BXF Etf performing well and CI 1 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 CI 1'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	1.36	0.28	0.17	0.57	1.44	(1.42)	3.22	(2.29)	7.11
MSFT	1.03	(0.05)	0.00	(0.16)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.95	0.16	0.06	3.78	2.78	(1.95)	4.72	(3.13)	12.29
F	1.35	(0.11)	0.00	(0.13)	0.00	0.00	2.55	(2.89)	10.97
T	0.94	0.30	0.27	0.50	0.88	(1.12)	1.90	(1.75)	7.94
A	1.07	(0.03)	0.00	(0.07)	0.00	0.00	2.81	(2.16)	9.03
CRM	1.45	(0.15)	0.00	(0.22)	0.00	0.00	2.21	(3.81)	15.92
JPM	0.89	0.14	0.11	0.15	1.16	(0.97)	1.97	(1.51)	6.85
MRK	1.26	(0.10)	0.00	(2.54)	0.00	0.00	2.15	(2.24)	11.57
XOM	0.91	(0.12)	0.00	(0.43)	0.00	0.00	1.76	(2.14)	5.69

Be your own money manager

Our tools can tell you how much better you can do entering a position in CI 1 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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