BNP Paribas Correlations

EJAH Etf

18.60 0.03 0.16%

The current 90-days correlation between BNP Paribas Easy and BNP Paribas Easy is -0.12 (i.e., Good diversification). The correlation of BNP Paribas 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.

BNP Paribas Correlation With Market

Good diversification

The correlation between BNP Paribas Easy and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding BNP Paribas Easy and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with BNP Etf

0.69	UIM5	UBS Fund Solutions	Pair Corr
0.65	XDJP	Xtrackers Nikkei 225	Pair Corr
0.64	GQ9	SPDR Gold Shares	Pair Corr
0.67	VUSA	Vanguard Funds Public	Pair Corr
0.61	EXX7	iShares Nikkei 225	Pair Corr
0.7	SXR8	iShares Core SP	Pair Corr
0.74	IS3N	iShares Core MSCI	Pair Corr
0.75	IBC3	iShares Core MSCI	Pair Corr
0.62	DBPE	Xtrackers LevDAX	Pair Corr

Moving against BNP Etf

0.73	XJSE	Xtrackers II	Pair Corr
0.66	DBPD	Xtrackers ShortDAX	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-0.56		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	+ 0.86	CRM
CRM	+ 0.81	T
XOM	+ 0.73	META
JPM	+ 0.7	F
XOM	+ 0.65	CRM
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.79	T
JPM	- 0.6	A
XOM	- 0.56	MRK
MRK	- 0.53	META

BNP Paribas Competition Risk-Adjusted Indicators

There is a big difference between BNP Etf performing well and BNP Paribas 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 BNP Paribas' 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	0.07	0.02	0.23	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.04)	(0.05)	0.07	1.50	(0.86)	2.09	(1.85)	8.19
UBER	1.61	(0.11)	(0.04)	0.02	2.32	(1.70)	2.69	(2.53)	20.10
F	1.42	(0.15)	(0.04)	0.03	2.23	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(7.83)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.06)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.31	0.23	0.18	0.34	1.08	(1.53)	3.18	(1.91)	9.98
JPM	1.12	(0.04)	0.05	0.11	1.38	(1.23)	2.05	(2.00)	15.87
MRK	0.91	(0.24)	0.00	(0.86)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.00	(0.03)	(0.07)	0.06	1.31	(1.04)	2.10	(2.09)	5.74

BNP Paribas 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 BNP Paribas etf to make a market-neutral strategy. Peer analysis of BNP Paribas could also be used in its relative valuation, which is a method of valuing BNP Paribas by comparing valuation metrics with similar companies.

BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy BNP Paribas Easy American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne

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