Bitwise Dogecoin Correlations

BWOW Etf

19.02 0.04 0.21%

The current 90-days correlation between Bitwise Dogecoin ETF and Proshares UltraShort Ether is -0.55 (i.e., Excellent diversification). The correlation of Bitwise Dogecoin 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.

Bitwise Dogecoin Correlation With Market

Very weak diversification

The correlation between Bitwise Dogecoin ETF and DJI is 0.46 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Bitwise Dogecoin ETF and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Bitwise Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bitwise Dogecoin ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation.

Moving against Bitwise Etf

0.59	PG	Procter Gamble	Pair Corr
0.54	MPAY	Exchange Traded Concepts	Pair Corr
0.43	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.43	BITO	ProShares Bitcoin	Pair Corr
0.39	MSFT	Microsoft	Pair Corr
0.37	BTF	Valkyrie Bitcoin Strategy	Pair Corr
0.31	BTC	Grayscale Bitcoin Mini	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.31	0.06	0.06	-0.07	-0.27	0.34	-0.03	-0.05	0.04	META
MSFT	0.31		0.75	-0.47	0.48	0.32	0.39	-0.1	-0.81	-0.68	MSFT
UBER	0.06	0.75		-0.45	0.47	0.51	0.07	-0.23	-0.8	-0.52	UBER
F	0.06	-0.47	-0.45		-0.59	-0.33	0.02	0.46	0.64	0.6	F
T	-0.07	0.48	0.47	-0.59		0.61	-0.09	-0.25	-0.46	-0.64	T
A	-0.27	0.32	0.51	-0.33	0.61		-0.13	-0.12	-0.32	-0.52	A
CRM	0.34	0.39	0.07	0.02	-0.09	-0.13		0.62	-0.13	-0.45	CRM
JPM	-0.03	-0.1	-0.23	0.46	-0.25	-0.12	0.62		0.35	-0.05	JPM
MRK	-0.05	-0.81	-0.8	0.64	-0.46	-0.32	-0.13	0.35		0.68	MRK
XOM	0.04	-0.68	-0.52	0.6	-0.64	-0.52	-0.45	-0.05	0.68		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	+ 0.75	MSFT
XOM	+ 0.68	MRK
MRK	+ 0.64	F
JPM	+ 0.62	CRM
A	+ 0.61	T
XOM	+ 0.6	F

High negative correlations

MRK	- 0.81	MSFT
MRK	- 0.8	UBER
XOM	- 0.68	MSFT
XOM	- 0.64	T
T	- 0.59	F
XOM	- 0.52	A

Bitwise Dogecoin Competition Risk-Adjusted Indicators

There is a big difference between Bitwise Etf performing well and Bitwise Dogecoin 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 Bitwise Dogecoin'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	1.60	(0.03)	(0.01)	0.02	2.40	(1.68)	3.43	(2.67)	13.02
MSFT	1.24	(0.29)	0.00	(1.12)	0.00	0.00	1.85	(2.70)	4.90
UBER	1.47	(0.24)	0.00	(0.26)	0.00	0.00	2.50	(3.82)	10.23
F	1.47	0.18	0.10	0.52	1.32	(1.82)	3.65	(2.35)	16.30
T	0.88	(0.03)	0.00	(0.14)	0.00	0.00	1.63	(1.85)	4.30
A	1.19	(0.22)	0.00	(0.12)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.53	(0.30)	0.00	(0.24)	0.00	0.00	2.94	(4.26)	12.37
JPM	1.11	0.04	(0.01)	(0.50)	1.66	(1.09)	2.00	(3.11)	7.38
MRK	1.26	0.30	0.21	0.47	1.14	(1.53)	3.59	(1.98)	8.09
XOM	1.06	0.24	0.18	0.45	0.96	(1.23)	2.38	(1.51)	5.82

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