Ray Stock Forecast - Naive Prediction

228670 Stock  KRW 6,020  130.00  2.11%   
The Naive Prediction forecasted value of Ray Co on the next trading day is expected to be 6,290 with a mean absolute deviation of 260.45 and the sum of the absolute errors of 15,888. Ray Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ray stock prices and determine the direction of Ray Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ray's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Ray is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Ray Co value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Ray Naive Prediction Price Forecast For the 28th of November

Given 90 days horizon, the Naive Prediction forecasted value of Ray Co on the next trading day is expected to be 6,290 with a mean absolute deviation of 260.45, mean absolute percentage error of 95,988, and the sum of the absolute errors of 15,888.
Please note that although there have been many attempts to predict Ray 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 Ray's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ray Stock Forecast Pattern

Backtest RayRay Price PredictionBuy or Sell Advice 

Ray Forecasted Value

In the context of forecasting Ray'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. Ray's downside and upside margins for the forecasting period are 6,287 and 6,293, respectively. We have considered Ray'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
6,020
6,290
Expected Value
6,293
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Ray stock data series using in forecasting. Note that when a statistical model is used to represent Ray 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 Criteria129.5825
BiasArithmetic mean of the errors None
MADMean absolute deviation260.4513
MAPEMean absolute percentage error0.0319
SAESum of the absolute errors15887.528
This model is not at all useful as a medium-long range forecasting tool of Ray Co. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Ray. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Ray

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ray Co. 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
6,1476,1506,153
Details
Intrinsic
Valuation
LowRealHigh
5,8475,8516,765
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5,5457,3409,136
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ray. Your research has to be compared to or analyzed against Ray's peers to derive any actionable benefits. When done correctly, Ray'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 Ray Co.

Other Forecasting Options for Ray

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

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

Ray Co 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 Ray'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 Ray's current price.

Ray Market Strength Events

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

Ray Risk Indicators

The analysis of Ray'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 Ray's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ray 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.

Pair Trading with Ray

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ray position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ray will appreciate offsetting losses from the drop in the long position's value.

Moving together with Ray Stock

  0.72263690 DRGEMPairCorr
  0.67246710 TR BiofabPairCorr

Moving against Ray Stock

  0.31024110 Industrial BankPairCorr
The ability to find closely correlated positions to Ray could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ray when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ray - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ray Co to buy it.
The correlation of Ray is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ray moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ray Co moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ray can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Ray Stock

Ray financial ratios help investors to determine whether Ray 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 Ray with respect to the benefits of owning Ray security.