Airports Of Thailand Stock Statistic Functions Beta
| AIPUY Stock | USD 16.41 1.09 6.23% |
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The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Airports of Thailand correlated with the market. If Beta is less than 0 Airports generally moves in the opposite direction as compared to the market. If Airports Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Airports of Thailand is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Airports is generally in the same direction as the market. If Beta > 1 Airports moves generally in the same direction as, but more than the movement of the benchmark.
Airports Technical Analysis Modules
Most technical analysis of Airports help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Airports from various momentum indicators to cycle indicators. When you analyze Airports charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Airports Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Airports of Thailand. We use our internally-developed statistical techniques to arrive at the intrinsic value of Airports of Thailand based on widely used predictive technical indicators. In general, we focus on analyzing Airports Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Airports's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Airports's intrinsic value. In addition to deriving basic predictive indicators for Airports, we also check how macroeconomic factors affect Airports price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.
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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Airports of Thailand pair trading
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.Airports Pair Trading
Airports of Thailand Pair Trading Analysis
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.Additional Tools for Airports Pink Sheet Analysis
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.