Oriental Food Stock Forecast - Simple Regression

7107 Stock   1.66  0.02  1.19%   
The Simple Regression forecasted value of Oriental Food Industries on the next trading day is expected to be 1.73 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.84. Oriental Stock 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 Oriental Food 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.

Oriental Food Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of Oriental Food Industries on the next trading day is expected to be 1.73 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.84.
Please note that although there have been many attempts to predict Oriental Stock 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 Oriental Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oriental Food Stock Forecast Pattern

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Oriental Food Forecasted Value

In the context of forecasting Oriental Food's Stock 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. Oriental Food's downside and upside margins for the forecasting period are 0.02 and 3.56, respectively. We have considered Oriental Food'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
1.66
1.73
Expected Value
3.56
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 Oriental Food stock data series using in forecasting. Note that when a statistical model is used to represent Oriental Food stock, 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 Criteria111.5487
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0301
MAPEMean absolute percentage error0.0172
SAESum of the absolute errors1.8369
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 Oriental Food Industries 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 Oriental Food

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oriental Food Industries. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
0.081.683.51
Details
Intrinsic
Valuation
LowRealHigh
0.091.713.55
Details

Other Forecasting Options for Oriental Food

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

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

Oriental Food Industries Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Oriental Food'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 Oriental Food's current price.

Oriental Food Market Strength Events

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

Oriental Food Risk Indicators

The analysis of Oriental Food'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 Oriental Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oriental stock 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 Oriental Stock

Oriental Food financial ratios help investors to determine whether Oriental Stock 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 Oriental with respect to the benefits of owning Oriental Food security.