Orange SA Correlations

FNCTF Stock

USD 18.95 0.00 0.00%

The current 90-days correlation between Orange SA and Cellnex Telecom SA is -0.1 (i.e., Good diversification). The correlation of Orange SA 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.

Orange SA Correlation With Market

Significant diversification

The correlation between Orange SA and DJI is 0.07 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Orange SA and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Orange Pink Sheet

0.75	VZ	Verizon Communications	Pair Corr
0.79	T	ATT Inc	Pair Corr
0.83	DTEGY	Deutsche Telekom Earnings Call This Week	Pair Corr
0.82	DTEGF	Deutsche Telekom Earnings Call This Week	Pair Corr
0.7	AMX	America Movil SAB	Pair Corr
0.71	DTE	DTE Energy	Pair Corr
0.65	TRNO	Terreno Realty	Pair Corr
0.68	QNBC	QNB Corp	Pair Corr
0.7	KOS	Kosmos Energy Aggressive Push	Pair Corr
0.65	OGE	OGE Energy	Pair Corr
0.72	ITT	ITT Inc	Pair Corr

Moving against Orange Pink Sheet

0.54	NTTYY	Nippon Telegraph	Pair Corr
0.33	TLK	Telkom Indonesia Tbk	Pair Corr

Related Correlations Analysis

	CLLNY	SWZCF	SCMWY	TLGPY	TTRAF	SNGNF	SGAPY	KSHTY	TEFOF	UNVGY
CLLNY		0.73	0.86	0.48	0.46	0.69	0.73	-0.13	0.23	-0.59	CLLNY
SWZCF	0.73		0.92	0.53	0.73	0.8	0.82	0.18	0.33	-0.88	SWZCF
SCMWY	0.86	0.92		0.57	0.6	0.85	0.78	0.16	0.31	-0.79	SCMWY
TLGPY	0.48	0.53	0.57		0.18	0.53	0.47	0.06	0.45	-0.45	TLGPY
TTRAF	0.46	0.73	0.6	0.18		0.5	0.54	0.08	0.1	-0.68	TTRAF
SNGNF	0.69	0.8	0.85	0.53	0.5		0.82	-0.04	0.32	-0.79	SNGNF
SGAPY	0.73	0.82	0.78	0.47	0.54	0.82		-0.24	0.38	-0.79	SGAPY
KSHTY	-0.13	0.18	0.16	0.06	0.08	-0.04	-0.24		-0.01	-0.02	KSHTY
TEFOF	0.23	0.33	0.31	0.45	0.1	0.32	0.38	-0.01		-0.3	TEFOF
UNVGY	-0.59	-0.88	-0.79	-0.45	-0.68	-0.79	-0.79	-0.02	-0.3		UNVGY
	CLLNY	SWZCF	SCMWY	TLGPY	TTRAF	SNGNF	SGAPY	KSHTY	TEFOF	UNVGY

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

SCMWY	+ 0.92	SWZCF
SCMWY	+ 0.86	CLLNY
SNGNF	+ 0.85	SCMWY
SGAPY	+ 0.82	SWZCF
SGAPY	+ 0.82	SNGNF
SNGNF	+ 0.8	SWZCF

High negative correlations

UNVGY	- 0.88	SWZCF
UNVGY	- 0.79	SGAPY
UNVGY	- 0.79	SNGNF
UNVGY	- 0.79	SCMWY
UNVGY	- 0.68	TTRAF
UNVGY	- 0.59	CLLNY

Risk-Adjusted Indicators

There is a big difference between Orange Pink Sheet performing well and Orange SA Company 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 Orange SA'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
CLLNY	1.18	0.33	0.16	8.18	1.15	(1.27)	2.31	(2.40)	7.82
SWZCF	0.99	0.30	0.14	0.47	0.35	(3.00)	4.28	(1.34)	6.93
SCMWY	0.86	0.44	0.38	(0.89)	0.00	(1.03)	2.27	(0.99)	5.47
TLGPY	0.78	0.20	0.15	0.77	0.54	(0.89)	1.73	(1.16)	4.18
TTRAF	0.70	0.26	0.00	0.64	0.00	0.00	3.28	0.00	11.69
SNGNF	1.23	0.19	0.02	(0.88)	1.71	(3.53)	4.86	(2.76)	17.68
SGAPY	0.91	0.16	0.03	(0.37)	1.15	(0.92)	3.24	(2.08)	6.72
KSHTY	4.07	(0.04)	0.01	0.08	4.91	(5.36)	11.63	(9.29)	31.70
TEFOF	3.63	0.35	0.05	(0.74)	3.79	(4.44)	8.82	(7.44)	20.36
UNVGY	1.21	(0.17)	0.00	0.55	0.00	0.00	1.98	(3.12)	8.83

Be your own money manager

Our tools can tell you how much better you can do entering a position in Orange SA 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 CEOs Directory Now

CEOs Directory

Screen CEOs from public companies around the world

All Next

Launch Module

Orange SA Corporate Management

Brigitte Bourgoin	Group Officer	Profile
Vincent Lecerf	Ex HR	Profile
Patrick Roussel	Ex Sales	Profile
Patrice Diesbach	Head of investor relations	Profile

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