College Retirement Equities Fund Statistic Functions Beta

QCGLRX Fund  USD 375.28  5.39  1.46%   
College Retirement statistic functions tool provides the execution environment for running the Beta function and other technical functions against College Retirement. College Retirement 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. College Retirement 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-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on College Retirement correlated with the market. If Beta is less than 0 College Retirement generally moves in the opposite direction as compared to the market. If College Retirement Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one College Retirement is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of College Retirement is generally in the same direction as the market. If Beta > 1 College Retirement moves generally in the same direction as, but more than the movement of the benchmark.

College Retirement Technical Analysis Modules

Most technical analysis of College Retirement 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 College from various momentum indicators to cycle indicators. When you analyze College 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 College Retirement 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 College Retirement Equities. We use our internally-developed statistical techniques to arrive at the intrinsic value of College Retirement Equities based on widely used predictive technical indicators. In general, we focus on analyzing College Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build College Retirement'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 College Retirement's intrinsic value. In addition to deriving basic predictive indicators for College Retirement, we also check how macroeconomic factors affect College Retirement price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
374.58375.28375.98
Details
Intrinsic
Valuation
LowRealHigh
337.75404.31405.01
Details
Naive
Forecast
LowNextHigh
372.98373.68374.38
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
369.02374.81380.60
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards College Retirement in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, College Retirement's short interest history, or implied volatility extrapolated from College Retirement options trading.

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Other Information on Investing in College Fund

College Retirement financial ratios help investors to determine whether College 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 College with respect to the benefits of owning College Retirement security.
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