Wilshire 5000 Index Fund Statistic Functions Linear Regression Slope

WINDX Fund  USD 34.71  0.15  0.43%   
Wilshire 5000 statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Wilshire 5000. Wilshire 5000 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 Slope function function is designed to identify and follow existing trends. Wilshire 5000 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.

Function
Time Period
Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Wilshire 5000 Index price series over its benchmark or peer price series.

Wilshire 5000 Technical Analysis Modules

Most technical analysis of Wilshire 5000 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 Wilshire from various momentum indicators to cycle indicators. When you analyze Wilshire 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 Wilshire 5000 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 Wilshire 5000 Index. We use our internally-developed statistical techniques to arrive at the intrinsic value of Wilshire 5000 Index based on widely used predictive technical indicators. In general, we focus on analyzing Wilshire Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Wilshire 5000'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 Wilshire 5000's intrinsic value. In addition to deriving basic predictive indicators for Wilshire 5000, we also check how macroeconomic factors affect Wilshire 5000 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 Wilshire 5000'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
33.9234.7135.50
Details
Intrinsic
Valuation
LowRealHigh
33.4434.2335.02
Details

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Wilshire 5000 Index 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 Wilshire 5000 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 Wilshire 5000 will appreciate offsetting losses from the drop in the long position's value.

Wilshire 5000 Pair Trading

Wilshire 5000 Index Pair Trading Analysis

The ability to find closely correlated positions to Wilshire 5000 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Wilshire 5000 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 Wilshire 5000 - 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 Wilshire 5000 Index to buy it.
The correlation of Wilshire 5000 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 Wilshire 5000 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Wilshire 5000 Index 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 Wilshire 5000 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Wilshire Mutual Fund

Wilshire 5000 financial ratios help investors to determine whether Wilshire 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 Wilshire with respect to the benefits of owning Wilshire 5000 security.
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