Julius Baer Correlations

0P00016XV3

146.65 0.15 0.10%

The current 90-days correlation between Julius Baer Edelweiss and CSIF III Eq is -0.07 (i.e., Good diversification). The correlation of Julius Baer 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.

Julius Baer Correlation With Market

Average diversification

The correlation between Julius Baer Edelweiss 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 Julius Baer Edelweiss and DJI in the same portfolio, assuming nothing else is changed.

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

Moving against Julius Fund

0.75	0P0000YXR4	CSIF III Equity	Pair Corr
0.66	0P0001EDRM	CSIF III Eq	Pair Corr
0.64	SREA	UBS Property	Pair Corr
0.47	0P0000KA0A	Synchrony Swiss Real	Pair Corr

Related Correlations Analysis

	0P0001EDRM	SREA	PSCF	BALN	WKBN	EQAC	GLUG	WOOD	IU0A	HKDU
0P0001EDRM		0.55	0.27	-0.66	-0.82	0.88	0.78	-0.51	0.66	-0.6	0P0001EDRM
SREA	0.55		0.63	-0.73	-0.75	0.68	0.27	-0.59	0.58	-0.42	SREA
PSCF	0.27	0.63		-0.26	-0.31	0.43	0.0	-0.14	0.65	-0.07	PSCF
BALN	-0.66	-0.73	-0.26		0.79	-0.78	-0.37	0.78	-0.48	0.7	BALN
WKBN	-0.82	-0.75	-0.31	0.79		-0.83	-0.6	0.69	-0.61	0.68	WKBN
EQAC	0.88	0.68	0.43	-0.78	-0.83		0.62	-0.66	0.66	-0.63	EQAC
GLUG	0.78	0.27	0.0	-0.37	-0.6	0.62		-0.12	0.5	-0.33	GLUG
WOOD	-0.51	-0.59	-0.14	0.78	0.69	-0.66	-0.12		-0.26	0.81	WOOD
IU0A	0.66	0.58	0.65	-0.48	-0.61	0.66	0.5	-0.26		-0.36	IU0A
HKDU	-0.6	-0.42	-0.07	0.7	0.68	-0.63	-0.33	0.81	-0.36		HKDU
	0P0001EDRM	SREA	PSCF	BALN	WKBN	EQAC	GLUG	WOOD	IU0A	HKDU

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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

EQAC	+ 0.88	0P0001EDRM
HKDU	+ 0.81	WOOD
WKBN	+ 0.79	BALN
GLUG	+ 0.78	0P0001EDRM
WOOD	+ 0.78	BALN
HKDU	+ 0.7	BALN

High negative correlations

EQAC	- 0.83	WKBN
WKBN	- 0.82	0P0001EDRM
EQAC	- 0.78	BALN
WKBN	- 0.75	SREA
BALN	- 0.73	SREA
WOOD	- 0.66	EQAC

Risk-Adjusted Indicators

There is a big difference between Julius Fund performing well and Julius Baer Fund 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 Julius Baer'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
0P0001EDRM	0.42	0.03	0.00	2.63	0.62	(0.44)	0.71	(0.79)	4.41
SREA	0.86	0.12	0.06	(0.28)	0.85	(1.21)	2.13	(1.45)	6.28
PSCF	0.71	0.08	0.04	(1.31)	0.70	(0.92)	1.61	(1.28)	3.87
BALN	0.52	(0.07)	0.00	(0.24)	0.00	0.00	1.02	(1.10)	4.77
WKBN	0.38	(0.03)	0.00	0.32	0.00	0.00	0.91	(0.88)	3.15
EQAC	0.62	0.09	0.06	0.38	0.91	(0.62)	1.31	(1.32)	5.30
GLUG	0.68	(0.02)	(0.04)	(0.01)	0.77	(0.90)	1.51	(1.09)	6.33
WOOD	0.79	(0.16)	0.00	(0.74)	0.00	0.00	1.47	(2.00)	5.09
IU0A	0.09	(0.01)	(0.15)	(0.86)	0.12	(0.23)	0.19	(0.37)	0.74
HKDU	1.28	0.00	(0.02)	0.03	1.77	(1.47)	3.09	(2.77)	14.06

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

CSIF III Eq UBS Property Procimmo Real Estate Baloise Holding AG Banque Cantonale du Invesco EQQQ NASDAQ 100 LG Clean Water iShares Global Timber iShares Corp Bond UBSFund Solutions MSCI American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

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