Driehaus Emerging Markets Fund Statistic Functions Linear Regression

DREGX Fund  USD 37.28  0.12  0.32%   
Driehaus Emerging statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Driehaus Emerging. Driehaus Emerging 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. Driehaus Emerging 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
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression model generates relationship between price series of Driehaus Emerging Markets and its peer or benchmark and helps predict Driehaus Emerging future price from its past values.

Driehaus Emerging Technical Analysis Modules

Most technical analysis of Driehaus Emerging 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 Driehaus from various momentum indicators to cycle indicators. When you analyze Driehaus 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 Driehaus Emerging 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 Driehaus Emerging Markets. We use our internally-developed statistical techniques to arrive at the intrinsic value of Driehaus Emerging Markets based on widely used predictive technical indicators. In general, we focus on analyzing Driehaus Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Driehaus Emerging'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 Driehaus Emerging's intrinsic value. In addition to deriving basic predictive indicators for Driehaus Emerging, we also check how macroeconomic factors affect Driehaus Emerging price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
36.4437.2838.12
Details
Intrinsic
Valuation
LowRealHigh
36.7737.6138.45
Details
Naive
Forecast
LowNextHigh
36.2037.0437.89
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37.0537.4337.81
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Driehaus Emerging. Your research has to be compared to or analyzed against Driehaus Emerging's peers to derive any actionable benefits. When done correctly, Driehaus Emerging's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Driehaus Emerging Markets.

Learn to be your own money manager

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.

Did you try this?

Run Equity Forecasting Now

   

Equity Forecasting

Use basic forecasting models to generate price predictions and determine price momentum
All  Next Launch Module

Driehaus Emerging Markets 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 Driehaus Emerging 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 Driehaus Emerging will appreciate offsetting losses from the drop in the long position's value.

Driehaus Emerging Pair Trading

Driehaus Emerging Markets Pair Trading Analysis

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

Driehaus Emerging financial ratios help investors to determine whether Driehaus 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 Driehaus with respect to the benefits of owning Driehaus Emerging security.
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Commodity Directory
Find actively traded commodities issued by global exchanges
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios