TAC Consumer (Thailand) Statistic Functions Beta

TACC Stock  THB 4.66  0.02  0.43%   
TAC Consumer statistic functions tool provides the execution environment for running the Beta function and other technical functions against TAC Consumer. TAC Consumer value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. TAC Consumer statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on TAC Consumer Public correlated with the market. If Beta is less than 0 TAC Consumer generally moves in the opposite direction as compared to the market. If TAC Consumer Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one TAC Consumer Public is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of TAC Consumer is generally in the same direction as the market. If Beta > 1 TAC Consumer moves generally in the same direction as, but more than the movement of the benchmark.

TAC Consumer Technical Analysis Modules

Most technical analysis of TAC Consumer 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 TAC from various momentum indicators to cycle indicators. When you analyze TAC 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.

About TAC Consumer 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 TAC Consumer Public. We use our internally-developed statistical techniques to arrive at the intrinsic value of TAC Consumer Public based on widely used predictive technical indicators. In general, we focus on analyzing TAC Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build TAC Consumer'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 TAC Consumer's intrinsic value. In addition to deriving basic predictive indicators for TAC Consumer, we also check how macroeconomic factors affect TAC Consumer price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
3.154.666.17
Details
Intrinsic
Valuation
LowRealHigh
3.284.796.30
Details

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TAC Consumer Public 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 TAC Consumer 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 TAC Consumer will appreciate offsetting losses from the drop in the long position's value.

TAC Consumer Pair Trading

TAC Consumer Public Pair Trading Analysis

The ability to find closely correlated positions to TAC Consumer could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TAC Consumer 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 TAC Consumer - 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 TAC Consumer Public to buy it.
The correlation of TAC Consumer 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 TAC Consumer moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TAC Consumer Public 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 TAC Consumer 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

Other Information on Investing in TAC Stock

TAC Consumer financial ratios help investors to determine whether TAC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in TAC with respect to the benefits of owning TAC Consumer security.