Hotchkis Wiley Correlations

HWSM Etf

25.44 0.06 0.24%

The current 90-days correlation between Hotchkis Wiley SMID and Vanguard Total Stock is 0.84 (i.e., Very poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Hotchkis Wiley moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hotchkis Wiley SMID moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Hotchkis Wiley Correlation With Market

Very poor diversification

The correlation between Hotchkis Wiley SMID and DJI is 0.82 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Hotchkis Wiley SMID and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Hotchkis Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Hotchkis Wiley SMID. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with Hotchkis Etf

0.97	VTI	Vanguard Total Stock Sell-off Trend	Pair Corr
0.97	SPY	SPDR SP 500 Sell-off Trend	Pair Corr
0.97	IVV	iShares Core SP Sell-off Trend	Pair Corr
0.98	VTV	Vanguard Value Index	Pair Corr
0.96	VUG	Vanguard Growth Index	Pair Corr
0.98	VO	Vanguard Mid Cap	Pair Corr
0.93	VEA	Vanguard FTSE Developed	Pair Corr
0.99	VB	Vanguard Small Cap	Pair Corr
0.96	VWO	Vanguard FTSE Emerging Sell-off Trend	Pair Corr
0.96	XOVR	ERShares Private Public Symbol Change	Pair Corr
0.87	GAICX	GATEWAY INTERNATIONAL	Pair Corr
0.96	HBTA	Horizon Funds	Pair Corr
0.88	AAIAX	AMERICAN BEACON INTE	Pair Corr
0.95	FDV	First Trust Capital	Pair Corr
0.84	TRSY	Xtrackers 0 1	Pair Corr
0.95	BCHP	EGSHARES BLUE CHIP	Pair Corr
0.67	EUSB	iShares Trust	Pair Corr
0.97	BUFD	FT Cboe Vest	Pair Corr
0.83	KGRN	KraneShares MSCI China	Pair Corr
0.85	VABS	Virtus Newfleet ABSMBS	Pair Corr
0.98	AXP	American Express	Pair Corr
0.85	CVX	Chevron Corp	Pair Corr
0.89	GE	GE Aerospace Earnings Call Tomorrow	Pair Corr
0.96	CAT	Caterpillar	Pair Corr
0.96	BAC	Bank of America	Pair Corr
0.92	BA	Boeing	Pair Corr
0.63	HD	Home Depot	Pair Corr
0.94	MSFT	Microsoft	Pair Corr
0.93	MMM	3M Company	Pair Corr
0.94	CSCO	Cisco Systems	Pair Corr
0.84	INTC	Intel Earnings Call This Week	Pair Corr
0.95	AA	Alcoa Corp	Pair Corr
0.94	DD	Dupont De Nemours	Pair Corr

Moving against Hotchkis Etf

0.63	MCD	McDonalds	Pair Corr
0.57	KO	Coca Cola Earnings Call Tomorrow	Pair Corr
0.53	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.56	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.55	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.5	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.72	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.22	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.67	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.11	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.64	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.55	MRK
XOM	0.56	0.55	0.5	0.72	0.22	0.67	-0.11	0.64	0.55		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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.11	CRM

Hotchkis Wiley Competition Risk-Adjusted Indicators

There is a big difference between Hotchkis Etf performing well and Hotchkis Wiley 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 Hotchkis Wiley'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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.13	0.05	(0.04)	0.41	1.36	(1.15)	2.40	(2.58)	5.84

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