ED 52 01 MAR 33 Statistic Functions Beta
209111GE7 | 105.09 3.68 3.63% |
Symbol |
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 209111GE7 correlated with the market. If Beta is less than 0 209111GE7 generally moves in the opposite direction as compared to the market. If 209111GE7 Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one 209111GE7 is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of 209111GE7 is generally in the same direction as the market. If Beta > 1 209111GE7 moves generally in the same direction as, but more than the movement of the benchmark.
209111GE7 Technical Analysis Modules
Most technical analysis of 209111GE7 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 209111GE7 from various momentum indicators to cycle indicators. When you analyze 209111GE7 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About 209111GE7 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 ED 52 01 MAR 33. We use our internally-developed statistical techniques to arrive at the intrinsic value of ED 52 01 MAR 33 based on widely used predictive technical indicators. In general, we focus on analyzing 209111GE7 Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 209111GE7'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 209111GE7's intrinsic value. In addition to deriving basic predictive indicators for 209111GE7, we also check how macroeconomic factors affect 209111GE7 price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
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?
Run Portfolio Holdings Now
Portfolio HoldingsCheck your current holdings and cash postion to detemine if your portfolio needs rebalancing |
All Next | Launch Module |
209111GE7 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 209111GE7 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 209111GE7 will appreciate offsetting losses from the drop in the long position's value.209111GE7 Pair Trading
ED 52 01 MAR 33 Pair Trading Analysis
The ability to find closely correlated positions to 209111GE7 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 209111GE7 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 209111GE7 - 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 ED 52 01 MAR 33 to buy it.
The correlation of 209111GE7 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 209111GE7 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if 209111GE7 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 209111GE7 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.Other Information on Investing in 209111GE7 Bond
209111GE7 financial ratios help investors to determine whether 209111GE7 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 209111GE7 with respect to the benefits of owning 209111GE7 security.