Sabre Insurance Group Stock Statistic Functions Beta
| SBIGY Stock | USD 5.04 0.00 0.00% |
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The function did not generate any output. Please change time horizon or modify your input parameters. 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 Sabre Insurance Group correlated with the market. If Beta is less than 0 Sabre Insurance generally moves in the opposite direction as compared to the market. If Sabre Insurance Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Sabre Insurance Group is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Sabre Insurance is generally in the same direction as the market. If Beta > 1 Sabre Insurance moves generally in the same direction as, but more than the movement of the benchmark.
Sabre Insurance Technical Analysis Modules
Most technical analysis of Sabre Insurance 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 Sabre from various momentum indicators to cycle indicators. When you analyze Sabre 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 Sabre Insurance 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 Sabre Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sabre Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing Sabre Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sabre Insurance'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 Sabre Insurance's intrinsic value. In addition to deriving basic predictive indicators for Sabre Insurance, we also check how macroeconomic factors affect Sabre Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Sabre Insurance Group 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 Sabre Insurance 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 Sabre Insurance will appreciate offsetting losses from the drop in the long position's value.Sabre Insurance Pair Trading
Sabre Insurance Group Pair Trading Analysis
The ability to find closely correlated positions to Sabre Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sabre Insurance 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 Sabre Insurance - 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 Sabre Insurance Group to buy it.
The correlation of Sabre Insurance 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 Sabre Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sabre Insurance Group 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 Sabre Insurance 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 Sabre Pink Sheet Analysis
When running Sabre Insurance's price analysis, check to measure Sabre Insurance's 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 Sabre Insurance is operating at the current time. Most of Sabre Insurance's value examination focuses on studying past and present price action to predict the probability of Sabre Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sabre Insurance's price. Additionally, you may evaluate how the addition of Sabre Insurance to your portfolios can decrease your overall portfolio volatility.