Oppenheimer Global Fund Probability of Future Mutual Fund Price Finishing Over 106.54

OGLYX Fund  USD 103.66  0.17  0.16%   
Oppenheimer Global's future price is the expected price of Oppenheimer Global 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 Oppenheimer Global performance during a given time horizon utilizing its historical volatility. Check out Oppenheimer Global Backtesting, Portfolio Optimization, Oppenheimer Global Correlation, Oppenheimer Global Hype Analysis, Oppenheimer Global Volatility, Oppenheimer Global History as well as Oppenheimer Global Performance.
  
Please specify Oppenheimer Global's target price for which you would like Oppenheimer Global odds to be computed.

Oppenheimer Global Target Price Odds to finish over 106.54

The tendency of Oppenheimer 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 $ 106.54  or more in 90 days
 103.66 90 days 106.54 
about 25.37
Based on a normal probability distribution, the odds of Oppenheimer Global to move over $ 106.54  or more in 90 days from now is about 25.37 (This Oppenheimer Global probability density function shows the probability of Oppenheimer Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Oppenheimer Global price to stay between its current price of $ 103.66  and $ 106.54  at the end of the 90-day period is about 59.03 .
Assuming the 90 days horizon Oppenheimer Global has a beta of 0.81. This indicates as returns on the market go up, Oppenheimer Global average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Oppenheimer Global will be expected to be much smaller as well. Additionally Oppenheimer Global has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Oppenheimer Global Price Density   
       Price  

Predictive Modules for Oppenheimer Global

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oppenheimer Global. 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 Oppenheimer Global'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
102.70103.66104.62
Details
Intrinsic
Valuation
LowRealHigh
102.85103.81104.77
Details
Naive
Forecast
LowNextHigh
99.69100.66101.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
103.56103.72103.88
Details

Oppenheimer Global Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Oppenheimer Global is not an exception. The market had few large corrections towards the Oppenheimer Global's 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 Oppenheimer Global, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Oppenheimer Global within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.12
β
Beta against Dow Jones0.81
σ
Overall volatility
1.72
Ir
Information ratio -0.15

Oppenheimer Global 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 Oppenheimer Global for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Oppenheimer Global can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Oppenheimer Global generated a negative expected return over the last 90 days
The fund maintains 99.58% of its assets in stocks

Oppenheimer Global Technical Analysis

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

Oppenheimer Global Predictive Forecast Models

Oppenheimer Global's time-series forecasting models is one of many Oppenheimer Global's 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 Oppenheimer Global's 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.

Things to note about Oppenheimer Global

Checking the ongoing alerts about Oppenheimer Global for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Oppenheimer Global help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Oppenheimer Global generated a negative expected return over the last 90 days
The fund maintains 99.58% of its assets in stocks

Other Information on Investing in Oppenheimer Mutual Fund

Oppenheimer Global financial ratios help investors to determine whether Oppenheimer 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 Oppenheimer with respect to the benefits of owning Oppenheimer Global security.
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity 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
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Equity Valuation
Check real value of public entities based on technical and fundamental data