Oppenheimer Disciplined Value Fund Probability of Future Mutual Fund Price Finishing Under 27.69

CGRYX Fund  USD 32.46  0.30  0.93%   
Oppenheimer Disciplined's future price is the expected price of Oppenheimer Disciplined 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 Disciplined Value performance during a given time horizon utilizing its historical volatility. Check out Oppenheimer Disciplined Backtesting, Portfolio Optimization, Oppenheimer Disciplined Correlation, Oppenheimer Disciplined Hype Analysis, Oppenheimer Disciplined Volatility, Oppenheimer Disciplined History as well as Oppenheimer Disciplined Performance.
  
Please specify Oppenheimer Disciplined's target price for which you would like Oppenheimer Disciplined odds to be computed.

Oppenheimer Disciplined Target Price Odds to finish below 27.69

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 drop to $ 27.69  or more in 90 days
 32.46 90 days 27.69 
near 1
Based on a normal probability distribution, the odds of Oppenheimer Disciplined to drop to $ 27.69  or more in 90 days from now is near 1 (This Oppenheimer Disciplined Value probability density function shows the probability of Oppenheimer Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Oppenheimer Disciplined price to stay between $ 27.69  and its current price of $32.46 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.16 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Oppenheimer Disciplined will likely underperform. Additionally Oppenheimer Disciplined Value 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 Disciplined Price Density   
       Price  

Predictive Modules for Oppenheimer Disciplined

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 Disciplined. 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 Disciplined'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
30.6332.4634.29
Details
Intrinsic
Valuation
LowRealHigh
31.4733.3035.13
Details
Naive
Forecast
LowNextHigh
28.0529.8831.71
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.4635.4441.41
Details

Oppenheimer Disciplined Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Oppenheimer Disciplined is not an exception. The market had few large corrections towards the Oppenheimer Disciplined'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 Disciplined Value, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Oppenheimer Disciplined within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.23
β
Beta against Dow Jones1.16
σ
Overall volatility
1.77
Ir
Information ratio -0.12

Oppenheimer Disciplined 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 Disciplined for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Oppenheimer Disciplined 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 Disciplined generated a negative expected return over the last 90 days
The fund holds 98.29% of its assets under management (AUM) in equities

Oppenheimer Disciplined Technical Analysis

Oppenheimer Disciplined'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 Disciplined Value. In general, you should focus on analyzing Oppenheimer Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Oppenheimer Disciplined Predictive Forecast Models

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

Checking the ongoing alerts about Oppenheimer Disciplined for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Oppenheimer Disciplined help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Oppenheimer Disciplined generated a negative expected return over the last 90 days
The fund holds 98.29% of its assets under management (AUM) in equities

Other Information on Investing in Oppenheimer Mutual Fund

Oppenheimer Disciplined 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 Disciplined security.
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency