Oppenheimer Global Mutual Fund Forecast - Simple Regression

GLVAX Fund  USD 78.93  0.48  0.61%   
The Simple Regression forecasted value of Oppenheimer Global Val on the next trading day is expected to be 80.28 with a mean absolute deviation of 1.03 and the sum of the absolute errors of 63.80. Oppenheimer Mutual Fund Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Oppenheimer Global 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 Global Simple Regression Price Forecast For the 22nd of December

Given 90 days horizon, the Simple Regression forecasted value of Oppenheimer Global Val on the next trading day is expected to be 80.28 with a mean absolute deviation of 1.03, mean absolute percentage error of 1.58, and the sum of the absolute errors of 63.80.
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 Global's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oppenheimer Global Mutual Fund Forecast Pattern

Backtest Oppenheimer GlobalOppenheimer Global Price PredictionBuy or Sell Advice 

Oppenheimer Global Forecasted Value

In the context of forecasting Oppenheimer Global'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 Global's downside and upside margins for the forecasting period are 79.32 and 81.24, respectively. We have considered Oppenheimer Global'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
78.93
80.28
Expected Value
81.24
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 Global mutual fund data series using in forecasting. Note that when a statistical model is used to represent Oppenheimer Global 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 Criteria120.4046
BiasArithmetic mean of the errors None
MADMean absolute deviation1.029
MAPEMean absolute percentage error0.013
SAESum of the absolute errors63.8001
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 Global Val 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 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 Val. 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.
Hype
Prediction
LowEstimatedHigh
77.9778.9379.89
Details
Intrinsic
Valuation
LowRealHigh
72.5373.4986.82
Details
Bollinger
Band Projection (param)
LowMiddleHigh
76.8680.1583.44
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Oppenheimer Global. Your research has to be compared to or analyzed against Oppenheimer Global's peers to derive any actionable benefits. When done correctly, Oppenheimer Global's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Oppenheimer Global Val.

Other Forecasting Options for Oppenheimer Global

For every potential investor in Oppenheimer, whether a beginner or expert, Oppenheimer Global'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 Global's price trends.

Oppenheimer Global 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 Global mutual fund to make a market-neutral strategy. Peer analysis of Oppenheimer Global could also be used in its relative valuation, which is a method of valuing Oppenheimer Global by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Oppenheimer Global Val Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Oppenheimer Global's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Oppenheimer Global's current price.

Oppenheimer Global Market Strength Events

Market strength indicators help investors to evaluate how Oppenheimer Global 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 Global shares will generate the highest return on investment. By undertsting and applying Oppenheimer Global mutual fund market strength indicators, traders can identify Oppenheimer Global Val entry and exit signals to maximize returns.

Oppenheimer Global Risk Indicators

The analysis of Oppenheimer Global'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 Global'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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Money Managers
Screen money managers from public funds and ETFs managed around the world
Insider Screener
Find insiders across different sectors to evaluate their impact on performance