Goldman Mutual Fund Statistic Functions Linear Regression Intercept

GIMDX -  USA Fund  

USD 5.47  0.02  0.36%

Goldman Sachs statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Goldman Sachs. Goldman Sachs 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 Intercept function function is designed to identify and follow existing trends. Goldman Sachs 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.
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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 Intercept is the expected mean value of Goldman Sachs Local price seriese where values of its benchmark or peer price series are zero. View also all equity analysis or get more info about linear regression intercept statistic functions indicator.

Goldman Sachs Technical Analysis Modules

Most technical analysis of Goldman Sachs 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 Goldman from various momentum indicators to cycle indicators. When you analyze Goldman 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 Goldman Sachs 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 Goldman Sachs Local. We use our internally-developed statistical techniques to arrive at the intrinsic value of Goldman Sachs Local based on widely used predictive technical indicators. In general, we focus on analyzing Goldman Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Goldman Sachs'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 Goldman Sachs's intrinsic value. In addition to deriving basic predictive indicators for Goldman Sachs, we also check how macroeconomic factors affect Goldman Sachs 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, frequently view the market will even out over time. This tendency of Goldman Sachs' 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. Please use the tools below to analyze the current value of Goldman Sachs in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
5.115.475.83
Details
Intrinsic
Valuation
LowReal ValueHigh
5.135.495.85
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Naive
Forecast
LowNext ValueHigh
5.205.565.93
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Bollinger
Band Projection (param)
LowerMiddle BandUpper
5.425.565.70
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Please note, it is not enough to conduct a financial or market analysis of a single entity such as Goldman Sachs. Your research has to be compared to or analyzed against Goldman Sachs' peers to derive any actionable benefits. When done correctly, Goldman Sachs' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Goldman Sachs Local.

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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.

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Goldman Sachs Local 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 Goldman Sachs 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 Goldman Sachs will appreciate offsetting losses from the drop in the long position's value.

Goldman Sachs Pair Trading

Goldman Sachs Local Pair Trading Analysis

Correlation analysis and pair trading evaluation for Goldman Sachs and Eaton Vance Emerging. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Please check Risk vs Return Analysis. Note that the Goldman Sachs Local information on this page should be used as a complementary analysis to other Goldman Sachs' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Complementary Tools for Goldman Mutual Fund analysis

When running Goldman Sachs Local price analysis, check to measure Goldman Sachs' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Goldman Sachs is operating at the current time. Most of Goldman Sachs' value examination focuses on studying past and present price action to predict the probability of Goldman Sachs' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Goldman Sachs' price. Additionally, you may evaluate how the addition of Goldman Sachs to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Goldman Sachs' value and its price as these two are different measures arrived at by different means. Investors typically determine Goldman Sachs value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Goldman Sachs' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.