SFL Correlations

SFL Stock

USD 9.15 0.11 1.19%

The current 90-days correlation between SFL Corporation and Danaos is 0.48 (i.e., Very weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SFL moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SFL Corporation moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

SFL Correlation With Market

Significant diversification

The correlation between SFL Corp. and DJI is 0.09 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SFL Corp. and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with SFL Stock

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SFL Corporation. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census.

Moving together with SFL Stock

0.61	OP	Oceanpal	Pair Corr
0.92	SB	Safe Bulkers Earnings Call This Week	Pair Corr
0.83	SB-PC	Safe Bulkers	Pair Corr
0.79	SB-PD	Safe Bulkers	Pair Corr
0.89	EHLD	Euroholdings Symbol Change	Pair Corr
0.94	ESEA	Euroseas	Pair Corr
0.86	ASC	Ardmore Shpng	Pair Corr
0.95	DAC	Danaos	Pair Corr
0.73	DSX	Diana Shipping	Pair Corr
0.85	GNK	Genco Shipping Trading	Pair Corr
0.94	GSL	Global Ship Lease	Pair Corr
0.92	KEX	Kirby	Pair Corr
0.88	NAT	Nordic American Tankers	Pair Corr
0.84	NMM	Navios Maritime Partners Earnings Call This Week	Pair Corr
0.85	GASS	StealthGas	Pair Corr
0.63	ZIM	ZIM Integrated Shipping	Pair Corr
0.78	GOGL	Golden Ocean Group	Pair Corr
0.84	HAFN	Hafnia Limited	Pair Corr
0.95	HSHP	Himalaya Shipping Symbol Change	Pair Corr
0.75	CMRE-PC	Costamare	Pair Corr
0.64	CMRE-PD	Costamare	Pair Corr
0.69	KNOP	KNOT Offshore Partners	Pair Corr
0.85	DSX-PB	Diana Shipping	Pair Corr
0.66	MATX	Matson Inc	Pair Corr
0.77	GSL-PB	Global Ship Lease	Pair Corr
0.85	PANL	Pangaea Logistic	Pair Corr
0.8	PSHG	Performance Shipping	Pair Corr

Moving against SFL Stock

0.84	HMR	Heidmar Maritime Holdings	Pair Corr
0.71	UFG	Uni Fuels Holdings	Pair Corr
0.63	NCT	Intercont Limited	Pair Corr
0.67	HTCO	Caravelle International Symbol Change	Pair Corr

Related Correlations Analysis

	DAC	GSL	CPLP	ESEA	NMM	GNK	CMRE	EGLE	ASC	SBLK
DAC		0.95	0.0	0.93	0.89	0.82	0.35	0.78	0.81	0.96	DAC
GSL	0.95		0.0	0.95	0.86	0.73	0.37	0.82	0.75	0.96	GSL
CPLP	0.0	0.0		0.0	0.0	0.0	0.0	0.0	0.0	0.0	CPLP
ESEA	0.93	0.95	0.0		0.77	0.74	0.42	0.82	0.76	0.96	ESEA
NMM	0.89	0.86	0.0	0.77		0.74	0.11	0.67	0.76	0.82	NMM
GNK	0.82	0.73	0.0	0.74	0.74		0.33	0.65	0.74	0.84	GNK
CMRE	0.35	0.37	0.0	0.42	0.11	0.33		0.34	0.35	0.39	CMRE
EGLE	0.78	0.82	0.0	0.82	0.67	0.65	0.34		0.55	0.83	EGLE
ASC	0.81	0.75	0.0	0.76	0.76	0.74	0.35	0.55		0.78	ASC
SBLK	0.96	0.96	0.0	0.96	0.82	0.84	0.39	0.83	0.78		SBLK
	DAC	GSL	CPLP	ESEA	NMM	GNK	CMRE	EGLE	ASC	SBLK

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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

SBLK	+ 0.96	DAC
SBLK	+ 0.96	GSL
SBLK	+ 0.96	ESEA
GSL	+ 0.95	DAC
ESEA	+ 0.95	GSL
ESEA	+ 0.93	DAC

High negative correlations

SBLK	- 0.0	CPLP
ASC	- 0.0	CPLP
EGLE	- 0.0	CPLP
CMRE	- 0.0	CPLP
GNK	- 0.0	CPLP
NMM	- 0.0	CPLP

Risk-Adjusted Indicators

There is a big difference between SFL Stock performing well and SFL 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 SFL'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
DAC	1.20	0.20	0.08	0.74	1.24	(1.34)	2.81	(2.20)	8.35
GSL	1.21	0.45	0.24	1.06	1.00	(1.40)	3.67	(2.69)	7.94
CPLP	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
ESEA	1.67	0.78	0.36	2.08	1.19	(2.02)	4.67	(2.33)	13.75
NMM	1.45	0.28	0.13	1.25	1.22	(1.70)	4.25	(2.25)	8.71
GNK	1.45	0.22	0.10	0.55	1.24	(1.68)	3.63	(2.40)	8.04
CMRE	2.03	0.10	0.01	0.28	4.51	(2.05)	4.00	(2.94)	28.26
EGLE	0.61	0.12	0.11	0.28	0.44	(0.71)	1.59	(0.84)	4.26
ASC	1.70	0.22	0.03	(0.79)	2.12	(1.76)	4.02	(3.11)	9.75
SBLK	1.37	0.35	0.17	0.80	1.31	(1.59)	3.28	(2.56)	7.20

SFL Corporate Management

Trym Sjlie	Chief Officer	Profile
Jannicke Eilertsen	Compliance Officer	Profile
Marius Furuly	Vice Relations	Profile
Thecla Panagides	Chief Officer	Profile
Mikkel Weum	Senior Development	Profile

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