GTLS 75 01 JAN 30 Statistic Functions Beta

16115QAF7   103.63  0.66  0.63%   
16115QAF7 statistic functions tool provides the execution environment for running the Beta function and other technical functions against 16115QAF7. 16115QAF7 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. 16115QAF7 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.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on GTLS 75 01 correlated with the market. If Beta is less than 0 16115QAF7 generally moves in the opposite direction as compared to the market. If 16115QAF7 Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one GTLS 75 01 is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of 16115QAF7 is generally in the same direction as the market. If Beta > 1 16115QAF7 moves generally in the same direction as, but more than the movement of the benchmark.

16115QAF7 Technical Analysis Modules

Most technical analysis of 16115QAF7 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 16115QAF7 from various momentum indicators to cycle indicators. When you analyze 16115QAF7 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 16115QAF7 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 GTLS 75 01 JAN 30. We use our internally-developed statistical techniques to arrive at the intrinsic value of GTLS 75 01 JAN 30 based on widely used predictive technical indicators. In general, we focus on analyzing 16115QAF7 Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 16115QAF7'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 16115QAF7's intrinsic value. In addition to deriving basic predictive indicators for 16115QAF7, we also check how macroeconomic factors affect 16115QAF7 price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
103.24103.63104.02
Details
Intrinsic
Valuation
LowRealHigh
98.8999.28113.99
Details
Naive
Forecast
LowNextHigh
102.81103.19103.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
100.98103.31105.65
Details

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GTLS 75 01 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 16115QAF7 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 16115QAF7 will appreciate offsetting losses from the drop in the long position's value.

16115QAF7 Pair Trading

GTLS 75 01 JAN 30 Pair Trading Analysis

The ability to find closely correlated positions to 16115QAF7 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 16115QAF7 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 16115QAF7 - 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 GTLS 75 01 JAN 30 to buy it.
The correlation of 16115QAF7 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 16115QAF7 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GTLS 75 01 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 16115QAF7 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 16115QAF7 Bond

16115QAF7 financial ratios help investors to determine whether 16115QAF7 Bond 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 16115QAF7 with respect to the benefits of owning 16115QAF7 security.