Daelim Industrial Stock Forecast - Naive Prediction

000215 Stock   20,700  100.00  0.49%   
The Naive Prediction forecasted value of Daelim Industrial Co on the next trading day is expected to be 20,353 with a mean absolute deviation of 402.32 and the sum of the absolute errors of 24,944. Investors can use prediction functions to forecast Daelim Industrial's stock prices and determine the direction of Daelim Industrial Co's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Daelim Industrial's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
A naive forecasting model for Daelim Industrial is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Daelim Industrial 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.

Daelim Industrial Naive Prediction Price Forecast For the 14th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Daelim Industrial Co on the next trading day is expected to be 20,353 with a mean absolute deviation of 402.32, mean absolute percentage error of 261,055, and the sum of the absolute errors of 24,944.
Please note that although there have been many attempts to predict Daelim 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 Daelim Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Daelim Industrial Stock Forecast Pattern

Daelim Industrial Forecasted Value

In the context of forecasting Daelim Industrial'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. Daelim Industrial's downside and upside margins for the forecasting period are 20,352 and 20,355, respectively. We have considered Daelim Industrial'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
20,700
20,352
Downside
20,353
Expected Value
20,355
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 Daelim Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Daelim Industrial 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 Criteria132.4209
BiasArithmetic mean of the errors None
MADMean absolute deviation402.3175
MAPEMean absolute percentage error0.0182
SAESum of the absolute errors24943.6851
This model is not at all useful as a medium-long range forecasting tool of Daelim Industrial 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 Daelim Industrial. 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 Daelim Industrial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Daelim Industrial. 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.

Other Forecasting Options for Daelim Industrial

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

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

Daelim Industrial 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 Daelim Industrial'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 Daelim Industrial's current price.

Daelim Industrial Market Strength Events

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

Daelim Industrial Risk Indicators

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

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 Daelim Industrial 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 Daelim Industrial will appreciate offsetting losses from the drop in the long position's value.

Moving together with Daelim Stock

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The ability to find closely correlated positions to Daelim Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Daelim Industrial 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 Daelim Industrial - 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 Daelim Industrial Co to buy it.
The correlation of Daelim Industrial 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 Daelim Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Daelim Industrial 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 Daelim Industrial 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