Natixis Equity Opportunities Fund Probability of Future Mutual Fund Price Finishing Over 15.34

NECCX Fund  USD 14.48  0.01  0.07%   
Natixis Us' future price is the expected price of Natixis Us instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Natixis Equity Opportunities performance during a given time horizon utilizing its historical volatility. Check out Natixis Us Backtesting, Portfolio Optimization, Natixis Us Correlation, Natixis Us Hype Analysis, Natixis Us Volatility, Natixis Us History as well as Natixis Us Performance.
  
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Natixis Us Target Price Odds to finish over 15.34

The tendency of Natixis Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over $ 15.34  or more in 90 days
 14.48 90 days 15.34 
near 1
Based on a normal probability distribution, the odds of Natixis Us to move over $ 15.34  or more in 90 days from now is near 1 (This Natixis Equity Opportunities probability density function shows the probability of Natixis Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Natixis Equity Oppor price to stay between its current price of $ 14.48  and $ 15.34  at the end of the 90-day period is about 58.98 .
Assuming the 90 days horizon Natixis Us has a beta of 1.0. This indicates Natixis Equity Opportunities market returns are sensitive to returns on the market. As the market goes up or down, Natixis Us is expected to follow. Additionally Natixis Equity Opportunities has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite.
   Natixis Us Price Density   
       Price  

Predictive Modules for Natixis Us

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Natixis Equity Oppor. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Natixis Us' 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
13.7614.4815.20
Details
Intrinsic
Valuation
LowRealHigh
13.7714.4915.21
Details
Naive
Forecast
LowNextHigh
13.3714.0914.82
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.3314.5514.78
Details

Natixis Us Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Natixis Us is not an exception. The market had few large corrections towards the Natixis Us' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Natixis Equity Opportunities, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Natixis Us within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
-0.03
β
Beta against NYSE Composite1.00
σ
Overall volatility
0.22
Ir
Information ratio -0.03

Natixis Us Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Natixis Us for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Natixis Equity Oppor can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
The fund maintains 98.95% of its assets in stocks

Natixis Us Technical Analysis

Natixis Us' future price can be derived by breaking down and analyzing its technical indicators over time. Natixis Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Natixis Equity Opportunities. In general, you should focus on analyzing Natixis Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Natixis Us Predictive Forecast Models

Natixis Us' time-series forecasting models is one of many Natixis Us' mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Natixis Us' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the mutual fund market movement and maximize returns from investment trading.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average