Airports Of Thailand Stock Market Value

AIPUF Stock  USD 1.64  0.00  0.00%   
Airports' market value is the price at which a share of Airports trades on a public exchange. It measures the collective expectations of Airports Of Thailand investors about its performance. Airports is trading at 1.64 as of the 28th of March 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 1.64.
With this module, you can estimate the performance of a buy and hold strategy of Airports Of Thailand and determine expected loss or profit from investing in Airports over a given investment horizon. Check out Airports Correlation, Airports Volatility and Airports Alpha and Beta module to complement your research on Airports.
Symbol

Please note, there is a significant difference between Airports' value and its price as these two are different measures arrived at by different means. Investors typically determine if Airports is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Airports' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Airports 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Airports' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Airports.
0.00
02/27/2024
No Change 0.00  0.0 
In 31 days
03/28/2024
0.00
If you would invest  0.00  in Airports on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Airports Of Thailand or generate 0.0% return on investment in Airports over 30 days. Airports is related to or competes with Kroger, Meta Platforms, Amazon, Apple, Alphabet, NVIDIA, and Microsoft. Airports of Thailand Public Company Limited, together with its subsidiaries, engages in developing, managing, and operat... More

Airports Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Airports' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Airports Of Thailand upside and downside potential and time the market with a certain degree of confidence.

Airports Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Airports' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Airports' standard deviation. In reality, there are many statistical measures that can use Airports historical prices to predict the future Airports' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Airports' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
1.641.641.64
Details
Intrinsic
Valuation
LowRealHigh
1.641.641.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Airports. Your research has to be compared to or analyzed against Airports' peers to derive any actionable benefits. When done correctly, Airports' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Airports Of Thailand.

Airports Of Thailand Backtested Returns

We have found three technical indicators for Airports Of Thailand, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Airports are completely uncorrelated.

Auto-correlation

    
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No correlation between past and present

Airports Of Thailand has no correlation between past and present. Overlapping area represents the amount of predictability between Airports time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Airports Of Thailand price movement. The serial correlation of 0.0 indicates that just 0.0% of current Airports price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Airports Of Thailand lagged returns against current returns

Autocorrelation, which is Airports pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Airports' pink sheet expected returns. We can calculate the autocorrelation of Airports returns to help us make a trade decision. For example, suppose you find that Airports has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Airports regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Airports pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Airports pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Airports pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Airports Lagged Returns

When evaluating Airports' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Airports pink sheet have on its future price. Airports autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Airports autocorrelation shows the relationship between Airports pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Airports Of Thailand.
   Regressed Prices   
       Timeline  

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Airports in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Airports' short interest history, or implied volatility extrapolated from Airports options trading.

Pair Trading with Airports

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Airports position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Airports will appreciate offsetting losses from the drop in the long position's value.
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.
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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Airports moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Airports Of Thailand moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Airports can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Airports Correlation, Airports Volatility and Airports Alpha and Beta module to complement your research on Airports.
You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.

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When running Airports' price analysis, check to measure Airports' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Airports is operating at the current time. Most of Airports' value examination focuses on studying past and present price action to predict the probability of Airports' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airports' price. Additionally, you may evaluate how the addition of Airports to your portfolios can decrease your overall portfolio volatility.
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Airports technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
A focus of Airports technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Airports trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...