InPost SA Correlations

INPOY Stock

USD 5.98 0.05 0.84%

The current 90-days correlation between InPost SA and Elis SA is 0.02 (i.e., Significant diversification). The correlation of InPost 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. If the correlation is 0, the equities are not correlated; they are entirely random.

InPost SA Correlation With Market

Very weak diversification

The correlation between InPost SA and DJI is 0.46 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding InPost SA and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to InPost 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 InPost 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 InPost 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 InPost SA to buy it.

Moving together with InPost Pink Sheet

0.7	TRI	Thomson Reuters	Pair Corr
0.74	WTKWY	Wolters Kluwer NV	Pair Corr
0.7	WOLTF	Wolters Kluwer NV	Pair Corr
0.7	GPN	Global Payments	Pair Corr
0.73	TLPFF	Teleperformance SE Downward Rally	Pair Corr
0.76	TLPFY	Teleperformance PK	Pair Corr

Moving against InPost Pink Sheet

0.44	KB	KB Financial Group	Pair Corr
0.42	SMFNF	Sumitomo Mitsui Financial	Pair Corr
0.37	SMFG	Sumitomo Mitsui Financial	Pair Corr
0.37	MZHOF	Mizuho Financial	Pair Corr
0.68	NAUT	Nautilus Biotechnology	Pair Corr
0.53	FTI	TechnipFMC PLC Sell-off Trend	Pair Corr
0.5	SHG	Shinhan Financial	Pair Corr
0.49	LMND	Lemonade	Pair Corr
0.45	AER	AerCap Holdings NV	Pair Corr
0.45	AAPL	Apple Inc	Pair Corr
0.34	BORR	Borr Drilling	Pair Corr
0.71	DGWR	Critic Clothing	Pair Corr
0.63	CSCO	Cisco Systems	Pair Corr
0.57	TGI	Triumph Group	Pair Corr
0.57	FEMY	Femasys	Pair Corr
0.45	SSAAF	SSAB AB	Pair Corr
0.44	TGS	Transportadora de Gas	Pair Corr

Related Correlations Analysis

	ELSSF	FCHRF	NRKBF	RICOF	YATRY	FMOCF	VOYJF	RKWBF	TOPPY	NXPRF
ELSSF		0.43	-0.42	-0.15	0.8	0.0	0.0	0.48	-0.77	0.34	ELSSF
FCHRF	0.43		-0.93	-0.42	0.41	0.0	0.0	0.4	-0.27	0.9	FCHRF
NRKBF	-0.42	-0.93		0.41	-0.45	0.0	0.0	-0.4	0.3	-0.87	NRKBF
RICOF	-0.15	-0.42	0.41		-0.12	0.0	0.0	-0.02	-0.03	-0.42	RICOF
YATRY	0.8	0.41	-0.45	-0.12		0.0	0.0	0.81	-0.85	0.26	YATRY
FMOCF	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	FMOCF
VOYJF	0.0	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	VOYJF
RKWBF	0.48	0.4	-0.4	-0.02	0.81	0.0	0.0		-0.6	0.28	RKWBF
TOPPY	-0.77	-0.27	0.3	-0.03	-0.85	0.0	0.0	-0.6		-0.1	TOPPY
NXPRF	0.34	0.9	-0.87	-0.42	0.26	0.0	0.0	0.28	-0.1		NXPRF
	ELSSF	FCHRF	NRKBF	RICOF	YATRY	FMOCF	VOYJF	RKWBF	TOPPY	NXPRF

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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

NXPRF	+ 0.9	FCHRF
RKWBF	+ 0.81	YATRY
YATRY	+ 0.8	ELSSF
RKWBF	+ 0.48	ELSSF
FCHRF	+ 0.43	ELSSF
YATRY	+ 0.41	FCHRF

High negative correlations

NRKBF	- 0.93	FCHRF
NXPRF	- 0.87	NRKBF
TOPPY	- 0.85	YATRY
TOPPY	- 0.77	ELSSF
TOPPY	- 0.6	RKWBF
YATRY	- 0.45	NRKBF

Risk-Adjusted Indicators

There is a big difference between InPost Pink Sheet performing well and InPost 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 InPost 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
ELSSF	0.30	(0.07)	0.00	0.34	0.00	0.00	0.00	0.00	10.16
FCHRF	0.14	(0.10)	0.00	(0.28)	0.00	0.00	0.00	0.00	4.58
NRKBF	0.47	0.20	0.00	4.78	0.00	0.00	0.00	0.00	10.89
RICOF	5.58	(2.61)	0.00	0.95	0.00	0.00	0.00	0.00	181.49
YATRY	0.40	(0.24)	0.00	(0.71)	0.00	0.00	0.00	0.00	7.89
FMOCF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
VOYJF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
RKWBF	0.93	(0.13)	0.00	(0.13)	0.00	0.00	2.12	(5.82)	14.18
TOPPY	2.66	0.46	0.06	0.68	3.23	(4.89)	7.96	(6.37)	25.33
NXPRF	0.63	(0.16)	0.00	(1.21)	0.00	0.00	1.00	(2.82)	9.67

Be your own money manager

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

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InPost SA Corporate Management

Rossen Hadjiev	Member Board	Profile
Malgorzata Szczesniak	Chief Accountant	Profile
Krzysztof Kolpa	VP Board	Profile
Rafal Brzoska	Pres Board	Profile
Krzysztof Kaczmarczyk	S Board	Profile

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