Airports Correlations

APTPF Stock

USD 1.11 0.12 9.76%

The current 90-days correlation between Airports of Thailand and Aena SME SA is 0.2 (i.e., Modest 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

Average diversification

The correlation between Airports of Thailand and DJI is 0.17 (i.e., Average 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

0.67	AIPUY	Airports of Thailand	Pair Corr
0.69	AXP	American Express	Pair Corr
0.65	BAC	Bank of America Aggressive Push	Pair Corr
0.74	HD	Home Depot	Pair Corr
0.75	CAT	Caterpillar	Pair Corr

Moving against Airports Pink Sheet

0.68	ARRPY	Aeroports de Paris	Pair Corr
0.58	ANNSF	Aena SME SA	Pair Corr
0.57	ANYYY	Aena SME SA	Pair Corr
0.51	WM	Waste Management	Pair Corr
0.44	IBM	International Business	Pair Corr
0.41	CVX	Chevron Corp	Pair Corr
0.69	KO	Coca Cola	Pair Corr
0.63	VZ	Verizon Communications	Pair Corr
0.58	T	ATT Inc Sell-off Trend	Pair Corr
0.54	INTC	Intel Sell-off Trend	Pair Corr
0.5	MCD	McDonalds	Pair Corr
0.45	TRV	The Travelers Companies	Pair Corr
0.41	XOM	Exxon Mobil Corp Earnings Call Next Week	Pair Corr

Related Correlations Analysis

	ACKDF	AUKNY	ANNSF	ANYYY	ARRPY	OMAB	ASR	PAC	ASLE	CAAP
ACKDF		0.43	-0.06	-0.05	-0.46	0.12	-0.06	0.15	-0.16	0.19	ACKDF
AUKNY	0.43		0.02	0.09	-0.45	0.49	0.36	0.35	0.08	0.27	AUKNY
ANNSF	-0.06	0.02		0.98	0.54	0.54	0.42	0.4	0.86	-0.48	ANNSF
ANYYY	-0.05	0.09	0.98		0.51	0.56	0.43	0.4	0.87	-0.46	ANYYY
ARRPY	-0.46	-0.45	0.54	0.51		0.03	0.01	0.07	0.41	-0.52	ARRPY
OMAB	0.12	0.49	0.54	0.56	0.03		0.87	0.84	0.55	0.1	OMAB
ASR	-0.06	0.36	0.42	0.43	0.01	0.87		0.78	0.38	0.29	ASR
PAC	0.15	0.35	0.4	0.4	0.07	0.84	0.78		0.3	0.14	PAC
ASLE	-0.16	0.08	0.86	0.87	0.41	0.55	0.38	0.3		-0.47	ASLE
CAAP	0.19	0.27	-0.48	-0.46	-0.52	0.1	0.29	0.14	-0.47		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

ANYYY	+ 0.98	ANNSF
ASLE	+ 0.87	ANYYY
ASR	+ 0.87	OMAB
ASLE	+ 0.86	ANNSF
PAC	+ 0.84	OMAB
PAC	+ 0.78	ASR

High negative correlations

CAAP	- 0.52	ARRPY
CAAP	- 0.48	ANNSF
CAAP	- 0.47	ASLE
CAAP	- 0.46	ANYYY
ARRPY	- 0.46	ACKDF
ARRPY	- 0.45	AUKNY

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	3.03	0.07	0.03	(0.13)	3.96	(9.27)	12.62	(9.46)	34.22
AUKNY	2.12	0.07	0.04	(0.53)	2.97	(2.68)	7.19	(5.95)	22.64
ANNSF	0.94	0.20	0.18	0.52	1.02	(1.19)	2.36	(2.23)	5.68
ANYYY	1.32	0.24	0.15	0.31	1.43	(1.31)	2.36	(2.45)	6.88
ARRPY	0.55	0.03	0.00	(0.20)	0.00	0.00	0.00	0.00	16.46
OMAB	1.79	0.21	0.09	0.19	2.21	(1.85)	3.71	(3.57)	11.84
ASR	1.61	0.14	0.07	0.06	1.87	(1.74)	2.92	(3.29)	13.79
PAC	1.56	0.04	0.00	(0.02)	0.00	0.00	3.31	(2.76)	8.63
ASLE	1.45	0.49	0.33	0.82	1.12	(1.67)	3.05	(2.38)	20.43
CAAP	1.85	(0.09)	0.00	(0.16)	0.00	0.00	3.61	(4.04)	15.56

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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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