Source Markets Correlations

SC0W Etf

EUR 514.50 0.00 0.00%

The current 90-days correlation between Source Markets plc and Source JPX Nikkei 400 is -0.01 (i.e., Good diversification). The correlation of Source Markets 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.

Source Markets Correlation With Market

Very good diversification

The correlation between Source Markets plc and DJI is -0.22 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Source Markets plc and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Source Etf

0.62

IS3N

iShares Core MSCI

Pair Corr

Moving against Source Etf

0.56	VUSA	Vanguard Funds Public	Pair Corr
0.56	SXR8	iShares Core SP	Pair Corr
0.56	XBAK	Xtrackers MSCI Pakistan	Pair Corr
0.56	DXS3	Xtrackers SP	Pair Corr
0.49	V80A	Vanguard Funds PLC	Pair Corr
0.47	T3KE	HANetf ICAV	Pair Corr
0.44	DFEN	VanEck Defense ETF	Pair Corr
0.35	EXV1	iShares STOXX Europe	Pair Corr
0.33	GQ9	SPDR Gold Shares	Pair Corr
0.64	C101	Lyxor Fed Funds	Pair Corr
0.56	XDWT	Xtrackers MSCI World	Pair Corr
0.56	OUFE	Ossiam Irl Icav	Pair Corr
0.56	UBU9	UBS plc	Pair Corr
0.52	DBPG	Xtrackers SP	Pair Corr
0.51	VLUS	BNP Paribas Easy	Pair Corr
0.5	US9L	WisdomTree SP 500	Pair Corr
0.49	VGWL	Vanguard FTSE All	Pair Corr
0.49	VWCE	Vanguard FTSE All	Pair Corr
0.48	SYBJ	SSgA SPDR ETFs	Pair Corr
0.46	TRDS	Invesco Us Treasury	Pair Corr
0.43	GERD	LG Gerd Kommer	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.79	-0.54	-0.45	0.45	0.29	0.56	0.26	-0.13	-0.53	META
MSFT	0.79		-0.65	-0.37	0.56	0.05	0.63	0.39	-0.23	-0.75	MSFT
UBER	-0.54	-0.65		0.47	-0.72	0.18	-0.78	-0.55	0.61	0.75	UBER
F	-0.45	-0.37	0.47		0.01	-0.23	-0.06	0.28	-0.08	0.69	F
T	0.45	0.56	-0.72	0.01		-0.3	0.87	0.83	-0.68	-0.44	T
A	0.29	0.05	0.18	-0.23	-0.3		-0.31	-0.51	0.71	0.09	A
CRM	0.56	0.63	-0.78	-0.06	0.87	-0.31		0.87	-0.77	-0.5	CRM
JPM	0.26	0.39	-0.55	0.28	0.83	-0.51	0.87		-0.83	-0.27	JPM
MRK	-0.13	-0.23	0.61	-0.08	-0.68	0.71	-0.77	-0.83		0.29	MRK
XOM	-0.53	-0.75	0.75	0.69	-0.44	0.09	-0.5	-0.27	0.29		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

CRM	+ 0.87	T
JPM	+ 0.87	CRM
JPM	+ 0.83	T
MSFT	+ 0.79	META
XOM	+ 0.75	UBER
MRK	+ 0.71	A

High negative correlations

MRK	- 0.83	JPM
CRM	- 0.78	UBER
MRK	- 0.77	CRM
XOM	- 0.75	MSFT
T	- 0.72	UBER
MRK	- 0.68	T

Source Markets Competition Risk-Adjusted Indicators

There is a big difference between Source Etf performing well and Source Markets 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 Source Markets' 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	1.21	0.08	0.04	0.42	1.41	(1.37)	2.62	(3.15)	7.43
MSFT	0.87	0.00	(0.02)	0.02	1.65	(0.78)	1.78	(2.23)	8.14
UBER	1.65	(0.33)	0.00	(1.73)	0.00	0.00	2.53	(5.35)	20.41
F	1.39	(0.03)	0.00	(0.12)	0.00	0.00	2.53	(2.81)	11.21
T	0.95	0.10	0.07	0.39	1.13	(0.98)	1.93	(1.99)	7.95
A	1.19	(0.04)	0.00	(0.12)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.46	0.33	0.19	20.66	1.34	(1.66)	3.18	(2.88)	14.80
JPM	1.06	0.23	0.16	(3.32)	1.11	(1.26)	1.99	(1.44)	15.87
MRK	0.97	(0.21)	0.00	(0.97)	0.00	0.00	1.72	(2.17)	5.17
XOM	0.84	(0.11)	0.00	(0.64)	0.00	0.00	1.83	(2.14)	6.06

Be your own money manager

Our tools can tell you how much better you can do entering a position in Source Markets 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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