Airports Correlations

APTPF Stock

USD 1.08 0.16 17.39%

The current 90-days correlation between Airports of Thailand and Aena SME SA is 0.03 (i.e., Significant diversification). The correlation of Airports 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.

Airports Correlation With Market

Good diversification

The correlation between Airports of Thailand and DJI is -0.19 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Airports of Thailand and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Airports Pink Sheet

0.65

86562MCU2

SUMIBK 59308 13

Pair Corr

Moving against Airports Pink Sheet

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0.7	MS	Morgan Stanley Sell-off Trend	Pair Corr
0.67	CYBR	CyberArk Software	Pair Corr
0.66	PFE	Pfizer Inc	Pair Corr
0.62	PLD	Prologis	Pair Corr
0.62	963320AX4	US963320AX45	Pair Corr
0.61	DOCKF	Beyond Medical Techn	Pair Corr
0.6	GCT	GigaCloud Technology	Pair Corr
0.59	TEM	Tempus AI, Class	Pair Corr
0.58	SKLTY	Seek Ltd ADR	Pair Corr
0.55	ANYYY	Aena SME SA	Pair Corr
0.55	PAC	Grupo Aeroportuario del Earnings Call Today	Pair Corr
0.52	TTE	TotalEnergies SE ADR Earnings Call This Week	Pair Corr
0.49	AEOXF	Aeroports de Paris	Pair Corr
0.39	ARRPY	Aeroports de Paris	Pair Corr
0.31	JOBY	Joby Aviation Trending	Pair Corr
0.71	CSCO	Cisco Systems	Pair Corr
0.7	BAC	Bank of America	Pair Corr
0.68	WFC	Wells Fargo	Pair Corr
0.67	ATRO	Astronics	Pair Corr
0.67	JPM	JPMorgan Chase	Pair Corr
0.66	TSM	Taiwan Semiconductor Aggressive Push	Pair Corr
0.64	HALFF	HAL Trust	Pair Corr
0.63	ARES	Ares Management LP Sell-off Trend	Pair Corr
0.63	BIT	Blackrock Multi Sector	Pair Corr

Related Correlations Analysis

	ACKDF	AUKNY	ANNSF	ANYYY	ARRPY	OMAB	ASR	PAC	ASLE	CAAP
ACKDF		0.14	-0.01	-0.13	-0.13	-0.06	-0.37	-0.14	0.19	-0.5	ACKDF
AUKNY	0.14		-0.14	0.0	0.27	-0.21	0.1	-0.12	-0.01	0.16	AUKNY
ANNSF	-0.01	-0.14		-0.26	-0.05	-0.38	-0.2	-0.31	0.39	-0.15	ANNSF
ANYYY	-0.13	0.0	-0.26		0.62	0.72	0.54	0.83	-0.52	0.31	ANYYY
ARRPY	-0.13	0.27	-0.05	0.62		0.25	0.56	0.52	-0.51	0.33	ARRPY
OMAB	-0.06	-0.21	-0.38	0.72	0.25		0.32	0.86	-0.51	0.11	OMAB
ASR	-0.37	0.1	-0.2	0.54	0.56	0.32		0.64	-0.66	0.8	ASR
PAC	-0.14	-0.12	-0.31	0.83	0.52	0.86	0.64		-0.61	0.4	PAC
ASLE	0.19	-0.01	0.39	-0.52	-0.51	-0.51	-0.66	-0.61		-0.43	ASLE
CAAP	-0.5	0.16	-0.15	0.31	0.33	0.11	0.8	0.4	-0.43		CAAP
	ACKDF	AUKNY	ANNSF	ANYYY	ARRPY	OMAB	ASR	PAC	ASLE	CAAP

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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

PAC	+ 0.86	OMAB
PAC	+ 0.83	ANYYY
CAAP	+ 0.8	ASR
OMAB	+ 0.72	ANYYY
PAC	+ 0.64	ASR
ARRPY	+ 0.62	ANYYY

High negative correlations

ASLE	- 0.66	ASR
ASLE	- 0.61	PAC
ASLE	- 0.52	ANYYY
ASLE	- 0.51	OMAB
ASLE	- 0.51	ARRPY
CAAP	- 0.5	ACKDF

Risk-Adjusted Indicators

There is a big difference between Airports Pink Sheet performing well and Airports 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 Airports' 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
ACKDF	3.05	0.48	0.03	(0.31)	3.73	(7.20)	8.31	(10.56)	27.60
AUKNY	2.61	0.06	0.00	0.03	0.00	0.00	8.51	(7.11)	25.35
ANNSF	112.37	46.81	1.29	0.98	23.25	(125.80)	899.84	(89.40)	1,090
ANYYY	1.48	0.24	0.04	(0.88)	1.69	(1.77)	3.54	(3.20)	11.19
ARRPY	0.34	0.04	0.00	(0.15)	0.00	0.00	0.48	0.00	9.12
OMAB	1.22	0.46	0.36	1.79	0.52	(1.65)	3.30	(1.34)	8.35
ASR	1.27	0.25	0.10	2.31	1.05	(1.48)	3.18	(1.89)	8.98
PAC	1.26	0.27	0.13	1.57	1.08	(1.49)	2.80	(1.72)	10.28
ASLE	1.72	(0.47)	0.00	(0.31)	0.00	0.00	2.89	(3.98)	15.55
CAAP	1.28	0.07	0.00	0.28	1.28	(1.55)	2.64	(2.20)	7.14

Be your own money manager

Our tools can tell you how much better you can do entering a position in Airports 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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Airports Corporate Management

Sirote Duangratana	Sr Marketing	Profile
Pichajarat Pengpinij	Exec Group	Profile
Chenwit Musikarat	Sr CFO	Profile
Dalad Asaves	EVP Group	Profile
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