Exchange Income Correlations

EIFZF Stock

USD 61.15 0.69 1.14%

The current 90-days correlation between Exchange Income and Tav Havalimanlari Holding is -0.01 (i.e., Good diversification). The correlation of Exchange Income 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.

Exchange Income Correlation With Market

Good diversification

The correlation between Exchange Income and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Exchange Income and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Exchange Pink Sheet

0.83	PPERF	Bank Mandiri Persero	Pair Corr
0.7	PPERY	Bank Mandiri Persero	Pair Corr
0.73	EGP	EastGroup Properties	Pair Corr
0.91	AAL	American Airlines	Pair Corr
0.72	ASTI	Ascent Solar Technol Tech Boost	Pair Corr
0.7	DDS	Dillards,	Pair Corr
0.78	ALVLF	Big Ridge Gold	Pair Corr
0.7	PII	Polaris Industries	Pair Corr
0.67	KYOCF	Kyocera	Pair Corr
0.62	IDN	Intellicheck Mobilisa	Pair Corr
0.81	ZPTA	Zapata Computing Holdings Buyout Trend	Pair Corr
0.82	GWW	WW Grainger	Pair Corr
0.64	BLMC	Biloxi Marsh Lands	Pair Corr
0.63	TSLA	Tesla Inc	Pair Corr
0.84	NOEM	CO2 Energy Transition	Pair Corr
0.83	APGE	Apogee Therapeutics,	Pair Corr
0.67	RLMD	Relmada Therapeutics	Pair Corr

Moving against Exchange Pink Sheet

0.56	PTAIF	PT Astra International	Pair Corr
0.33	BKRKY	Bank Rakyat	Pair Corr
0.33	CYPS	Cyclo3pss	Pair Corr
0.53	12532HAF1	GIBACN 23 14	Pair Corr
0.34	RYSKF	Reysas Tasimacilik	Pair Corr

Related Correlations Analysis

	JTTRY	TAVHY	JAIRF	MITFF	TNISY	MITFY	IPSOF	SECYF	LMHDF	SNWAF
JTTRY		-0.63	0.0	-0.39	-0.05	-0.3	0.39	0.1	0.0	0.0	JTTRY
TAVHY	-0.63		0.0	0.68	0.25	0.74	-0.8	-0.5	0.0	0.0	TAVHY
JAIRF	0.0	0.0		0.0	0.0	0.0	0.0	0.0	0.0	0.0	JAIRF
MITFF	-0.39	0.68	0.0		0.29	0.78	-0.58	-0.61	0.0	0.0	MITFF
TNISY	-0.05	0.25	0.0	0.29		0.43	-0.36	-0.53	0.0	0.0	TNISY
MITFY	-0.3	0.74	0.0	0.78	0.43		-0.7	-0.66	0.0	0.0	MITFY
IPSOF	0.39	-0.8	0.0	-0.58	-0.36	-0.7		0.64	0.0	0.0	IPSOF
SECYF	0.1	-0.5	0.0	-0.61	-0.53	-0.66	0.64		0.0	0.0	SECYF
LMHDF	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		0.0	LMHDF
SNWAF	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		SNWAF
	JTTRY	TAVHY	JAIRF	MITFF	TNISY	MITFY	IPSOF	SECYF	LMHDF	SNWAF

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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

MITFY	+ 0.78	MITFF
MITFY	+ 0.74	TAVHY
MITFF	+ 0.68	TAVHY
SECYF	+ 0.64	IPSOF
MITFY	+ 0.43	TNISY
IPSOF	+ 0.39	JTTRY

High negative correlations

IPSOF	- 0.8	TAVHY
IPSOF	- 0.7	MITFY
SECYF	- 0.66	MITFY
TAVHY	- 0.63	JTTRY
SECYF	- 0.61	MITFF
IPSOF	- 0.58	MITFF

Risk-Adjusted Indicators

There is a big difference between Exchange Pink Sheet performing well and Exchange Income 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 Exchange Income'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
JTTRY	0.52	(0.10)	0.00	(0.72)	0.00	0.00	0.00	0.00	24.11
TAVHY	1.52	0.26	0.13	0.69	1.33	(2.01)	3.80	(2.75)	8.91
JAIRF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
MITFF	1.42	0.25	0.04	2.36	1.49	(6.98)	6.15	(4.05)	21.83
TNISY	1.27	0.60	0.00	(4.01)	0.00	0.00	0.00	0.00	35.25
MITFY	1.97	0.42	0.14	(131.11)	1.86	(2.58)	4.78	(3.85)	16.08
IPSOF	0.53	(0.24)	0.00	(2.24)	0.00	0.00	0.00	0.00	11.95
SECYF	1.47	(0.12)	0.00	0.65	0.00	0.00	2.60	(3.82)	10.47
LMHDF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
SNWAF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Be your own money manager

Our tools can tell you how much better you can do entering a position in Exchange Income 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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