BNP Paribas Correlations

EEA Etf

EUR 8.18 0.07 0.86%

The current 90-days correlation between BNP Paribas Easy and Lyxor UCITS Japan is 0.22 (i.e., Modest 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

Average diversification

The correlation between BNP Paribas Easy and DJI is 0.17 (i.e., Average 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

0.99	MEH	Lyxor UCITS FTSE	Pair Corr
0.99	PMEH	Amundi PEA Immobilier	Pair Corr
0.99	EPRE	Amundi Index Solutions	Pair Corr
0.98	EEP	BNP Paribas Easy	Pair Corr
0.99	EEE	BNP Paribas Easy	Pair Corr
0.68	MWO	Amundi FTSE EPRANAREIT	Pair Corr
0.88	HLT	Lyxor Index Fund	Pair Corr
0.87	STW	SPDR MSCI Europe	Pair Corr

Moving against BNP Etf

0.67	HHH	HSBC SP 500	Pair Corr
0.67	SPY5	SPDR SP 500	Pair Corr
0.66	MUSA	iShares MSCI USA	Pair Corr
0.55	EMLD	SSgA SPDR ETFs	Pair Corr
0.53	JPNH	Lyxor UCITS Japan	Pair Corr
0.41	GBS	Gold Bullion Securities	Pair Corr
0.35	JPN	Lyxor UCITS Japan	Pair Corr
0.87	AFLE	Amundi Index Solutions	Pair Corr
0.83	STPU	MULTI UNITS LUXEMBOURG	Pair Corr
0.74	ATOM	21Shares Cosmos Staking	Pair Corr
0.68	HPAU	HSBC MSCI USA	Pair Corr
0.68	PEU	Invesco Markets III	Pair Corr
0.68	BNK	Lyxor Index Fund	Pair Corr
0.64	CHIP	Lyxor MSCI Semiconductors	Pair Corr
0.64	HAMO	Hashdex Crypto Momentum	Pair Corr
0.64	TWN	Multi Units Luxembourg	Pair Corr
0.59	DOTW	WisdomTree Polkadot EUR	Pair Corr
0.57	IMIE	SPDR MSCI ACWI	Pair Corr
0.5	HIWS	HSBC MSCI World	Pair Corr
0.47	DAX	Multi Units Luxembourg	Pair Corr
0.46	GOVS	SPDR Barclays Capital	Pair Corr
0.42	EVOU	BNP Paribas Easy	Pair Corr
0.36	MCEU	Amundi Index Solutions	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.57	-0.59	0.32	0.57	0.53	0.34	-0.06	-0.67	META
MSFT	0.73		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.57	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.59	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.32	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.57	0.23	-0.08	-0.25	0.0		0.12	0.22	0.32	-0.19	A
CRM	0.53	0.65	-0.78	-0.2	0.8	0.12		0.7	-0.59	-0.44	CRM
JPM	0.34	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.06	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.67	-0.47	0.81	0.9	-0.23	-0.19	-0.44	-0.25	0.32		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	+ 0.9	F
XOM	+ 0.81	UBER
CRM	+ 0.8	T
MSFT	+ 0.73	META
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.67	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
F	- 0.59	META
T	- 0.58	UBER

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	1.36	0.06	0.03	0.21	1.51	(1.56)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.33)	0.00	(26.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.03	0.01	0.09	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.10	0.79	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	1.11	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

Be your own money manager

Our tools can tell you how much better you can do entering a position in BNP Paribas 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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