91159HHS2 Correlations

91159HHS2

93.19 4.37 4.48%

The current 90-days correlation between U S BANCORP and AEP TEX INC is 0.39 (i.e., Weak diversification). The correlation of 91159HHS2 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.

91159HHS2 Correlation With Market

Significant diversification

The correlation between U S BANCORP and DJI is 0.03 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding U S BANCORP and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to 91159HHS2 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 91159HHS2 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 91159HHS2 - 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 U S BANCORP to buy it.

Moving together with 91159HHS2 Bond

0.66	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.7	KO	Coca Cola Aggressive Push	Pair Corr
0.75	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.72	JNJ	Johnson Johnson Sell-off Trend	Pair Corr

Moving against 91159HHS2 Bond

0.81	WMT	Walmart Aggressive Push	Pair Corr
0.8	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.79	DIS	Walt Disney Aggressive Push	Pair Corr
0.77	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.77	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.76	BAC	Bank of America Aggressive Push	Pair Corr
0.71	T	ATT Inc Sell-off Trend	Pair Corr
0.67	JPM	JPMorgan Chase Sell-off Trend	Pair Corr
0.66	HD	Home Depot	Pair Corr
0.61	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.32	IBM	International Business Fiscal Year End 22nd of January 2025	Pair Corr

Related Correlations Analysis

	00108WAF7	90331HPL1	EATBF	SCHW	KSCP	LLYVK	MRVL	GM	CSTXF	AMIX
00108WAF7		-0.07	0.27	-0.07	-0.01	-0.1	-0.04	-0.05	0.11	0.06	00108WAF7
90331HPL1	-0.07		-0.49	-0.4	-0.11	-0.27	-0.2	-0.32	-0.21	-0.04	90331HPL1
EATBF	0.27	-0.49		-0.16	-0.29	-0.28	-0.26	-0.08	-0.1	0.06	EATBF
SCHW	-0.07	-0.4	-0.16		0.71	0.92	0.93	0.92	0.47	-0.52	SCHW
KSCP	-0.01	-0.11	-0.29	0.71		0.59	0.78	0.82	0.68	-0.27	KSCP
LLYVK	-0.1	-0.27	-0.28	0.92	0.59		0.9	0.79	0.36	-0.63	LLYVK
MRVL	-0.04	-0.2	-0.26	0.93	0.78	0.9		0.9	0.49	-0.48	MRVL
GM	-0.05	-0.32	-0.08	0.92	0.82	0.79	0.9		0.57	-0.5	GM
CSTXF	0.11	-0.21	-0.1	0.47	0.68	0.36	0.49	0.57		0.07	CSTXF
AMIX	0.06	-0.04	0.06	-0.52	-0.27	-0.63	-0.48	-0.5	0.07		AMIX
	00108WAF7	90331HPL1	EATBF	SCHW	KSCP	LLYVK	MRVL	GM	CSTXF	AMIX

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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

MRVL	+ 0.93	SCHW
LLYVK	+ 0.92	SCHW
GM	+ 0.92	SCHW
MRVL	+ 0.9	LLYVK
GM	+ 0.9	MRVL
GM	+ 0.82	KSCP

High negative correlations

AMIX	- 0.63	LLYVK
AMIX	- 0.52	SCHW
AMIX	- 0.5	GM
EATBF	- 0.49	90331HPL1
AMIX	- 0.48	MRVL
SCHW	- 0.4	90331HPL1

Risk-Adjusted Indicators

There is a big difference between 91159HHS2 Bond performing well and 91159HHS2 Corporate Bond 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 91159HHS2'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
00108WAF7	1.26	0.13	0.03	0.58	1.37	(1.38)	3.24	(2.55)	10.75
90331HPL1	0.32	(0.07)	0.00	(0.16)	0.00	0.00	0.32	(0.85)	7.02
EATBF	16.35	3.71	0.15	(13.46)	13.83	(31.88)	54.17	(29.63)	221.76
SCHW	1.06	0.26	0.21	0.41	0.70	(1.15)	2.77	(1.39)	9.62
KSCP	8.42	0.72	0.06	0.60	11.48	(8.60)	17.97	(23.58)	52.99
LLYVK	1.40	0.80	0.69	0.89	0.00	(1.72)	4.50	(1.20)	10.51
MRVL	2.16	0.20	0.11	0.23	2.33	(2.50)	4.66	(3.35)	17.34
GM	1.48	0.18	0.11	0.24	1.71	(1.57)	3.74	(2.76)	12.14
CSTXF	6.99	0.42	0.04	0.37	7.39	(15.03)	24.44	(17.93)	80.10
AMIX	7.05	0.02	0.00	0.07	0.00	0.00	21.84	(15.75)	114.12

Be your own money manager

Our tools can tell you how much better you can do entering a position in 91159HHS2 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.

Did you try this?

Run Equity Forecasting Now

Equity Forecasting

Use basic forecasting models to generate price predictions and determine price momentum

All Next

Launch Module

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC