Oppenheimer Roc Mutual Fund Forecast - Simple Regression

OCACX Fund  USD 7.83  0.01  0.13%   
The Simple Regression forecasted value of Oppenheimer Roc Ca on the next trading day is expected to be 7.85 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.97. Oppenheimer Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Oppenheimer Roc's share price is below 20 . This indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Oppenheimer Roc's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Oppenheimer Roc Ca, which may create opportunities for some arbitrage if properly timed.
Using Oppenheimer Roc hype-based prediction, you can estimate the value of Oppenheimer Roc Ca from the perspective of Oppenheimer Roc response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Oppenheimer Roc Ca on the next trading day is expected to be 7.85 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.97.

Oppenheimer Roc after-hype prediction price

    
  USD 7.83  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Oppenheimer Roc to cross-verify your projections.

Oppenheimer Roc Additional Predictive Modules

Most predictive techniques to examine Oppenheimer price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Oppenheimer using various technical indicators. When you analyze Oppenheimer 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Oppenheimer Roc price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Oppenheimer Roc Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Oppenheimer Roc Ca on the next trading day is expected to be 7.85 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.97.
Please note that although there have been many attempts to predict Oppenheimer Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Oppenheimer Roc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oppenheimer Roc Mutual Fund Forecast Pattern

Backtest Oppenheimer RocOppenheimer Roc Price PredictionBuy or Sell Advice 

Oppenheimer Roc Forecasted Value

In the context of forecasting Oppenheimer Roc's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Oppenheimer Roc's downside and upside margins for the forecasting period are 7.71 and 7.99, respectively. We have considered Oppenheimer Roc's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
7.83
7.85
Expected Value
7.99
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Oppenheimer Roc mutual fund data series using in forecasting. Note that when a statistical model is used to represent Oppenheimer Roc mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria112.0161
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0157
MAPEMean absolute percentage error0.002
SAESum of the absolute errors0.9742
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Oppenheimer Roc Ca historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Oppenheimer Roc

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 Roc Ca. 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 Roc'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
7.697.837.97
Details
Intrinsic
Valuation
LowRealHigh
7.657.797.93
Details

Oppenheimer Roc After-Hype Price Prediction Density Analysis

As far as predicting the price of Oppenheimer Roc at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Oppenheimer Roc or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Oppenheimer Roc, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Oppenheimer Roc Estimiated After-Hype Price Volatility

In the context of predicting Oppenheimer Roc's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Oppenheimer Roc's historical news coverage. Oppenheimer Roc's after-hype downside and upside margins for the prediction period are 7.69 and 7.97, respectively. We have considered Oppenheimer Roc's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
7.83
7.83
After-hype Price
7.97
Upside
Oppenheimer Roc is very steady at this time. Analysis and calculation of next after-hype price of Oppenheimer Roc Ca is based on 3 months time horizon.

Oppenheimer Roc Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Oppenheimer Roc is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Oppenheimer Roc backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Oppenheimer Roc, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.14
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Uncertain
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
7.83
7.83
0.00 
0.00  
Notes

Oppenheimer Roc Hype Timeline

Oppenheimer Roc Ca is now traded for 7.83. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Oppenheimer is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at 0.0%. %. The volatility of related hype on Oppenheimer Roc is about 0.0%, with the expected price after the next announcement by competition of 7.83. The company last dividend was issued on the 26th of May 2020. Assuming the 90 days horizon the next forecasted press release will be uncertain.
Check out Historical Fundamental Analysis of Oppenheimer Roc to cross-verify your projections.

Oppenheimer Roc Related Hype Analysis

Having access to credible news sources related to Oppenheimer Roc's direct competition is more important than ever and may enhance your ability to predict Oppenheimer Roc's future price movements. Getting to know how Oppenheimer Roc's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Oppenheimer Roc may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Oppenheimer Roc

For every potential investor in Oppenheimer, whether a beginner or expert, Oppenheimer Roc's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Oppenheimer Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Oppenheimer. Basic forecasting techniques help filter out the noise by identifying Oppenheimer Roc's price trends.

Oppenheimer Roc Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Oppenheimer Roc mutual fund to make a market-neutral strategy. Peer analysis of Oppenheimer Roc could also be used in its relative valuation, which is a method of valuing Oppenheimer Roc by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Oppenheimer Roc Market Strength Events

Market strength indicators help investors to evaluate how Oppenheimer Roc mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oppenheimer Roc shares will generate the highest return on investment. By undertsting and applying Oppenheimer Roc mutual fund market strength indicators, traders can identify Oppenheimer Roc Ca entry and exit signals to maximize returns.

Oppenheimer Roc Risk Indicators

The analysis of Oppenheimer Roc's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Oppenheimer Roc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oppenheimer mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Oppenheimer Roc

The number of cover stories for Oppenheimer Roc depends on current market conditions and Oppenheimer Roc's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Oppenheimer Roc is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Oppenheimer Roc's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Other Information on Investing in Oppenheimer Mutual Fund

Oppenheimer Roc 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 Roc security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Volatility Analysis
Get historical volatility and risk analysis based on latest market data