Stock Suggestions

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.61	0.35	-0.45	0.24	-0.31	0.35	-0.22	-0.36	-0.45	META
MSFT	0.61		0.83	-0.54	0.43	-0.01	0.0	-0.51	-0.82	-0.65	MSFT
UBER	0.35	0.83		-0.51	0.45	0.25	-0.2	-0.52	-0.82	-0.6	UBER
F	-0.45	-0.54	-0.51		-0.69	0.23	0.33	0.65	0.69	0.78	F
T	0.24	0.43	0.45	-0.69		0.25	-0.61	-0.65	-0.48	-0.61	T
A	-0.31	-0.01	0.25	0.23	0.25		-0.5	-0.2	0.01	0.02	A
CRM	0.35	0.0	-0.2	0.33	-0.61	-0.5		0.55	0.24	0.27	CRM
JPM	-0.22	-0.51	-0.52	0.65	-0.65	-0.2	0.55		0.69	0.67	JPM
MRK	-0.36	-0.82	-0.82	0.69	-0.48	0.01	0.24	0.69		0.8	MRK
XOM	-0.45	-0.65	-0.6	0.78	-0.61	0.02	0.27	0.67	0.8		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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

UBER	+ 0.83	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.78	F
MRK	+ 0.69	F
MRK	+ 0.69	JPM
XOM	+ 0.67	JPM

High negative correlations

MRK	- 0.82	UBER
MRK	- 0.82	MSFT
T	- 0.69	F
JPM	- 0.65	T
XOM	- 0.65	MSFT
XOM	- 0.61	T

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself 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 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	1.36	(0.30)	0.00	(0.21)	0.00	0.00	2.30	(2.72)	13.46
MSFT	0.93	(0.20)	0.00	(0.30)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.49	(0.24)	0.00	(0.18)	0.00	0.00	2.60	(3.82)	10.23
F	1.41	0.22	0.16	0.25	1.26	(1.68)	3.38	(2.35)	16.30
T	0.90	(0.16)	0.00	(0.53)	0.00	0.00	1.63	(1.85)	5.78
A	1.12	(0.03)	(0.01)	0.06	1.29	(1.20)	2.34	(2.22)	6.50
CRM	1.60	(0.10)	(0.04)	(0.01)	2.36	(1.55)	3.66	(3.61)	9.91
JPM	1.18	(0.08)	(0.03)	0.03	1.67	(1.19)	2.34	(2.34)	7.02
MRK	1.22	0.27	0.20	0.40	1.06	(1.52)	3.59	(1.98)	8.09
XOM	1.06	0.16	0.08	0.73	1.05	(1.18)	2.21	(1.93)	5.82

Did you try this?

Run Efficient Frontier Now

Efficient Frontier

Plot and analyze your portfolio and positions against risk-return landscape of the market.

All Next

Launch Module

Check out your portfolio center.

Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Complementary Tools

	Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings
	Performance Analysis Check effects of mean-variance optimization against your current asset allocation
	ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
	Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
	Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes

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

2026 Macroaxis LLC