SPDR MSCI Correlations

STNX Etf

CHF 196.26 4.46 2.33%

The current 90-days correlation between SPDR MSCI Europe and SPDR MSCI Europe is 0.48 (i.e., Very weak diversification). The correlation of SPDR MSCI 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.

SPDR MSCI Correlation With Market

Average diversification

The correlation between SPDR MSCI Europe and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR MSCI Europe and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with SPDR Etf

0.72	MSE	Lyxor UCITS Stoxx	Pair Corr
0.75	TDXPEX	iShares TecDAX UCITS	Pair Corr
0.74	RGRTU	Raiffeisen ETF Solid	Pair Corr
0.73	RGLDOH	Raiffeisen ETF Solid	Pair Corr
0.74	CHSPI	iShares Core SPI	Pair Corr
0.73	CSWCHF	Amundi Index Solutions	Pair Corr
0.74	SPICHA	UBS ETF SPI	Pair Corr
0.73	ZGLDHG	ZKB Gold ETF	Pair Corr
0.73	RGLDSH	Raiffeisen ETF Solid	Pair Corr
0.73	ZGLDHE	ZKB Gold ETF	Pair Corr
0.74	XSMI	Xtrackers Switzerland	Pair Corr
0.69	SMCX	SPDR MSCI Europe	Pair Corr
0.9	DCCHAS	UBS Fund Solutions	Pair Corr
0.72	100GBA	UBSFund Solutions FTSE	Pair Corr
0.69	LYLVD	MULTI UNITS LUXEMBOURG	Pair Corr
0.71	JREE	JPMorgan ETFs ICAV	Pair Corr
0.67	STTX	SPDR MSCI Europe	Pair Corr
0.72	ZGLDHC	ZKB Gold ETF	Pair Corr
0.63	SHEME	UBSFund Solutions	Pair Corr

Moving against SPDR Etf

0.79

FSMF

Fidelity Sustainable

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.14	0.66	-0.48	0.43	0.36	0.16	0.89	-0.77	0.14	META
MSFT	-0.14		-0.64	0.31	-0.77	0.65	0.89	0.0	0.49	-0.33	MSFT
UBER	0.66	-0.64		-0.48	0.8	-0.23	-0.55	0.58	-0.86	0.46	UBER
F	-0.48	0.31	-0.48		-0.2	0.12	0.15	-0.38	0.62	0.23	F
T	0.43	-0.77	0.8	-0.2		-0.54	-0.68	0.25	-0.68	0.48	T
A	0.36	0.65	-0.23	0.12	-0.54		0.75	0.58	0.12	-0.11	A
CRM	0.16	0.89	-0.55	0.15	-0.68	0.75		0.24	0.3	-0.38	CRM
JPM	0.89	0.0	0.58	-0.38	0.25	0.58	0.24		-0.65	0.16	JPM
MRK	-0.77	0.49	-0.86	0.62	-0.68	0.12	0.3	-0.65		-0.31	MRK
XOM	0.14	-0.33	0.46	0.23	0.48	-0.11	-0.38	0.16	-0.31		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	+ 0.89	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.75	A
UBER	+ 0.66	META
A	+ 0.65	MSFT

High negative correlations

MRK	- 0.86	UBER
T	- 0.77	MSFT
MRK	- 0.77	META
MRK	- 0.68	T
CRM	- 0.68	T
MRK	- 0.65	JPM

SPDR MSCI Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR MSCI 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 SPDR MSCI'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	1.61	0.01	0.00	(0.08)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.11	(0.15)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.94	0.22	0.10	0.31	2.41	(2.00)	4.72	(3.30)	12.75
F	1.44	0.07	0.00	(0.03)	0.00	0.00	2.71	(2.89)	10.14
T	1.05	0.26	0.17	0.38	1.59	(1.13)	1.90	(1.75)	11.66
A	1.13	(0.12)	0.00	(0.22)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.42	(0.23)	0.00	(0.30)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.09	0.06	0.00	(0.04)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.17	(0.07)	0.00	1.31	0.00	0.00	2.07	(1.80)	11.58
XOM	1.05	0.07	0.09	0.06	1.38	(1.09)	2.55	(2.36)	5.89

Be your own money manager

Our tools can tell you how much better you can do entering a position in SPDR MSCI 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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