Oppenheimer Rochester Amt Free Fund Probability of Future Mutual Fund Price Finishing Over 7.92
| OPTAX Fund | USD 6.98 0.01 0.14% |
Oppenheimer |
Oppenheimer Rochester Target Price Odds to finish over 7.92
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 Price | Horizon | Target Price | Odds to move over $ 7.92 or more in 90 days |
| 6.98 | 90 days | 7.92 | close to zero percent |
Based on a normal probability distribution, the odds of Oppenheimer Rochester to move over $ 7.92 or more in 90 days from now is close to zero percent (This Oppenheimer Rochester Amt Free probability density function shows the probability of Oppenheimer Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Oppenheimer Rochester price to stay between its current price of $ 6.98 and $ 7.92 at the end of the 90-day period is about 11.47 .
Assuming the 90 days horizon Oppenheimer Rochester Amt Free has a beta of -0.12. This indicates as returns on the benchmark increase, returns on holding Oppenheimer Rochester are expected to decrease at a much lower rate. During a bear market, however, Oppenheimer Rochester Amt Free is likely to outperform the market. Additionally Oppenheimer Rochester Amt Free has an alpha of 0.0301, implying that it can generate a 0.0301 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Oppenheimer Rochester Price Density |
| Price |
Predictive Modules for Oppenheimer Rochester
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 Rochester. 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.Oppenheimer Rochester Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Oppenheimer Rochester is not an exception. The market had few large corrections towards the Oppenheimer Rochester'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 Rochester Amt Free, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Oppenheimer Rochester within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.12 | |
σ | Overall volatility | 0.04 | |
Ir | Information ratio | -0.38 |
Oppenheimer Rochester 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 Rochester for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Oppenheimer Rochester 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 generated three year return of -1.0% | |
| Oppenheimer Rochester maintains about 8.36% of its assets in cash |
Oppenheimer Rochester Technical Analysis
Oppenheimer Rochester'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 Rochester Amt Free. In general, you should focus on analyzing Oppenheimer Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Oppenheimer Rochester Predictive Forecast Models
Oppenheimer Rochester's time-series forecasting models is one of many Oppenheimer Rochester'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 Rochester'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 Rochester
Checking the ongoing alerts about Oppenheimer Rochester for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Oppenheimer Rochester help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund generated three year return of -1.0% | |
| Oppenheimer Rochester maintains about 8.36% of its assets in cash |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Rochester 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 Rochester security.
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