Life Insurance Correlations

LINSA Stock

USD 15.50 0.00 0.00%

The current 90-days correlation between Life Insurance and Atlantic American is 0.03 (i.e., Significant diversification). The correlation of Life Insurance 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.

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

Moving against Life Pink Sheet

0.59	UCAR	U Power Limited	Pair Corr
0.35	CILJF	China Life Insurance	Pair Corr
0.63	AUSAF	Australis Capital	Pair Corr
0.37	NVDA	NVIDIA Aggressive Push	Pair Corr

Related Correlations Analysis

	AAME	PIAIF	CILJF	SLLDY	CNO	MET-PA	FG	PUK
AAME		0.64	0.59	0.37	-0.32	-0.83	-0.02	0.4	AAME
PIAIF	0.64		0.63	0.32	-0.64	-0.69	-0.24	0.76	PIAIF
CILJF	0.59	0.63		0.39	-0.39	-0.65	-0.1	0.66	CILJF
SLLDY	0.37	0.32	0.39		-0.02	-0.37	0.28	0.45	SLLDY
CNO	-0.32	-0.64	-0.39	-0.02		0.3	0.81	-0.59	CNO
MET-PA	-0.83	-0.69	-0.65	-0.37	0.3		-0.1	-0.55	MET-PA
FG	-0.02	-0.24	-0.1	0.28	0.81	-0.1		-0.12	FG
PUK	0.4	0.76	0.66	0.45	-0.59	-0.55	-0.12		PUK
	AAME	PIAIF	CILJF	SLLDY	CNO	MET-PA	FG	PUK

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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

FG	+ 0.81	CNO
PUK	+ 0.76	PIAIF
PUK	+ 0.66	CILJF
PIAIF	+ 0.64	AAME
CILJF	+ 0.63	PIAIF
CILJF	+ 0.59	AAME

High negative correlations

MET-PA	- 0.83	AAME
MET-PA	- 0.69	PIAIF
MET-PA	- 0.65	CILJF
CNO	- 0.64	PIAIF
PUK	- 0.59	CNO
PUK	- 0.55	MET-PA

Risk-Adjusted Indicators

There is a big difference between Life Pink Sheet performing well and Life Insurance 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 Life Insurance'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
AAME	2.27	(0.15)	0.00	0.71	0.00	0.00	4.14	(4.52)	13.69
PIAIF	1.69	(0.12)	0.00	1.05	0.00	0.00	6.96	(4.56)	28.04
CILJF	2.66	(0.13)	0.00	0.20	0.00	0.00	8.12	(6.19)	37.36
SLLDY	1.27	(0.12)	0.00	(0.24)	0.00	0.00	2.64	(2.58)	6.78
CNO	1.20	0.12	0.07	2.58	1.31	(1.36)	2.20	(2.34)	15.48
MET-PA	0.36	0.06	0.09	1.23	0.29	(0.41)	0.70	(0.49)	2.79
FG	1.70	(0.04)	0.00	(0.11)	0.00	0.00	3.06	(3.83)	23.15
PUK	1.45	(0.27)	0.00	0.90	0.00	0.00	2.13	(3.79)	8.65

Be your own money manager

Our tools can tell you how much better you can do entering a position in Life Insurance 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.

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