Brigade High Correlations

BHIIX Etf

10.45 0.02 0.19%

The current 90-days correlation between Brigade High Income and FT Vest Equity is -0.07 (i.e., Good diversification). The correlation of Brigade High is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Brigade High Correlation With Market

Good diversification

The correlation between Brigade High Income and DJI is -0.11 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Brigade High Income and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Brigade High Income. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Brigade Etf

0.64	RAGIX	Riverfront Asset All	Pair Corr
1.0	BHIMX	ALPS Series Trust	Pair Corr
0.73	AVPEX	Alpsred Rocks Listed	Pair Corr
0.74	LPEIX	Alpsred Rocks Listed	Pair Corr
0.73	LPERX	Alpsred Rocks Listed	Pair Corr
0.73	LPFAX	Alpsred Rocks Listed	Pair Corr
0.74	LPFCX	Alpsred Rocks Listed	Pair Corr
0.73	LPEFX	Alpsred Rocks Listed	Pair Corr
0.79	SMASX	Alpssmith Short Duration	Pair Corr
0.71	SMCMX	Alpssmith Short Duration	Pair Corr
0.67	SMCVX	ALPSSmith Credit Opp	Pair Corr
0.61	SMCRX	ALPSSmith Credit Opp	Pair Corr
0.69	SMCAX	DEUTSCHE MID CAP	Pair Corr
0.85	SMDSX	Alpssmith Short Duration	Pair Corr
0.82	SMRSX	Alpssmith Short Duration	Pair Corr
0.67	RLGAX	Riverfront Dynamic Equity	Pair Corr
0.65	RLIIX	Riverfront Dynamic Equity	Pair Corr
0.81	ALCBX	ALPSSmith Balanced	Pair Corr
0.82	ALIBX	ALPSSmith Balanced	Pair Corr
0.83	ALPBX	ALPSSmith Balanced	Pair Corr
0.85	HYG	iShares iBoxx High	Pair Corr
0.83	USHY	iShares Broad USD	Pair Corr
0.79	JNK	SPDR Bloomberg High	Pair Corr
0.89	SHYG	iShares 0 5 Sell-off Trend	Pair Corr

Moving against Brigade Etf

0.5	SMAMX	Alpssmith Total Return	Pair Corr
0.5	SMTRX	Alpssmith Total Return	Pair Corr
0.5	SMTHX	Alpssmith Total Return	Pair Corr
0.47	SMCHX	Alpssmith Total Return	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.58	-0.01	0.64	0.02	0.73	0.31	-0.58	0.74	META
MSFT	0.27		0.22	0.12	0.18	-0.03	0.04	-0.16	0.1	-0.18	MSFT
UBER	0.58	0.22		0.0	0.09	0.23	0.12	-0.03	-0.01	0.42	UBER
F	-0.01	0.12	0.0		-0.03	-0.36	0.33	0.61	-0.22	0.27	F
T	0.64	0.18	0.09	-0.03		-0.44	0.7	0.43	-0.73	0.38	T
A	0.02	-0.03	0.23	-0.36	-0.44		-0.45	-0.64	0.62	0.02	A
CRM	0.73	0.04	0.12	0.33	0.7	-0.45		0.8	-0.92	0.67	CRM
JPM	0.31	-0.16	-0.03	0.61	0.43	-0.64	0.8		-0.82	0.48	JPM
MRK	-0.58	0.1	-0.01	-0.22	-0.73	0.62	-0.92	-0.82		-0.55	MRK
XOM	0.74	-0.18	0.42	0.27	0.38	0.02	0.67	0.48	-0.55		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.8	CRM
XOM	+ 0.74	META
CRM	+ 0.73	META
CRM	+ 0.7	T
XOM	+ 0.67	CRM
T	+ 0.64	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.73	T
JPM	- 0.64	A
MRK	- 0.58	META
XOM	- 0.55	MRK

Brigade High Competition Risk-Adjusted Indicators

There is a big difference between Brigade Etf performing well and Brigade High 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 Brigade High'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	1.07	0.05	0.02	0.16	1.41	(1.15)	2.62	(3.15)	8.02
MSFT	0.89	(0.10)	0.00	(0.05)	0.00	0.00	2.08	(2.03)	8.19
UBER	1.56	(0.15)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.40	(0.09)	(0.02)	0.02	2.20	(1.37)	2.53	(2.90)	11.72
T	0.91	0.26	0.16	(47.59)	0.84	(1.03)	2.56	(1.72)	6.47
A	1.09	(0.16)	0.00	(0.27)	0.00	0.00	2.11	(2.42)	9.02
CRM	1.25	0.24	0.20	0.30	0.94	(1.47)	3.18	(1.91)	9.09
JPM	1.09	0.03	0.06	0.10	1.43	(1.11)	2.05	(2.00)	15.87
MRK	0.83	(0.26)	0.00	(1.64)	0.00	0.00	1.68	(2.13)	4.89
XOM	1.03	0.04	0.00	0.15	1.22	(1.09)	2.14	(2.09)	5.78

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

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC