Short Duration Bond Fund Statistic Functions Linear Regression

RSBCX Fund  USD 18.31  0.01  0.05%   
Short Duration statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Short Duration. Short Duration 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 Linear Regression function function is designed to identify and follow existing trends. Short Duration 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.

Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Short Duration Bond and its peer or benchmark and helps predict Short Duration future price from its past values.

Short Duration Technical Analysis Modules

Most technical analysis of Short Duration 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 Short from various momentum indicators to cycle indicators. When you analyze Short 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 Short Duration 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 Short Duration Bond. We use our internally-developed statistical techniques to arrive at the intrinsic value of Short Duration Bond based on widely used predictive technical indicators. In general, we focus on analyzing Short Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Short Duration'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 Short Duration's intrinsic value. In addition to deriving basic predictive indicators for Short Duration, we also check how macroeconomic factors affect Short Duration price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short Duration's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
18.2018.3118.42
Details
Intrinsic
Valuation
LowRealHigh
18.0418.1520.14
Details
Naive
Forecast
LowNextHigh
18.1018.2118.32
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.2418.3218.40
Details

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Other Information on Investing in Short Mutual Fund

Short Duration financial ratios help investors to determine whether Short 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 Short with respect to the benefits of owning Short Duration security.
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