Blue Chip Fund Statistic Functions Beta
| PGBFX Fund | USD 46.94 0.13 0.28% |
| Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on Blue Chip Fund correlated with the market. If Beta is less than 0 Blue Chip generally moves in the opposite direction as compared to the market. If Blue Chip Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Blue Chip Fund is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Blue Chip is generally in the same direction as the market. If Beta > 1 Blue Chip moves generally in the same direction as, but more than the movement of the benchmark.
Blue Chip Technical Analysis Modules
Most technical analysis of Blue Chip 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 Blue from various momentum indicators to cycle indicators. When you analyze Blue 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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| Volume Indicators |
About Blue Chip 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 Blue Chip Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Blue Chip Fund based on widely used predictive technical indicators. In general, we focus on analyzing Blue Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Blue Chip'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 Blue Chip's intrinsic value. In addition to deriving basic predictive indicators for Blue Chip, we also check how macroeconomic factors affect Blue Chip price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Blue Chip Fund 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 Blue Chip 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 Blue Chip will appreciate offsetting losses from the drop in the long position's value.Blue Chip Pair Trading
Blue Chip Fund Pair Trading Analysis
The ability to find closely correlated positions to Blue Chip could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Blue Chip 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 Blue Chip - 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 Blue Chip Fund to buy it.
The correlation of Blue Chip 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 Blue Chip moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Blue Chip Fund 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 Blue Chip 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 Blue Mutual Fund
Blue Chip financial ratios help investors to determine whether Blue Mutual Fund 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 Blue with respect to the benefits of owning Blue Chip security.
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