Doosan Solus Stock Forecast - Naive Prediction
33637K Stock | 2,035 30.00 1.50% |
Doosan |
Doosan Solus Naive Prediction Price Forecast For the 7th of January
Given 90 days horizon, the Naive Prediction forecasted value of Doosan Solus Co on the next trading day is expected to be 1,844 with a mean absolute deviation of 63.95, mean absolute percentage error of 5,649, and the sum of the absolute errors of 3,901.Please note that although there have been many attempts to predict Doosan 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 Doosan Solus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Doosan Solus Stock Forecast Pattern
Doosan Solus Forecasted Value
In the context of forecasting Doosan Solus' 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. Doosan Solus' downside and upside margins for the forecasting period are 1,842 and 1,846, respectively. We have considered Doosan Solus' 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.
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 Doosan Solus stock data series using in forecasting. Note that when a statistical model is used to represent Doosan Solus 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.AIC | Akaike Information Criteria | 126.7498 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 63.9493 |
MAPE | Mean absolute percentage error | 0.0288 |
SAE | Sum of the absolute errors | 3900.9074 |
Predictive Modules for Doosan Solus
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Doosan Solus. 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as Doosan Solus. Your research has to be compared to or analyzed against Doosan Solus' peers to derive any actionable benefits. When done correctly, Doosan Solus' 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 Doosan Solus.Other Forecasting Options for Doosan Solus
For every potential investor in Doosan, whether a beginner or expert, Doosan Solus' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Doosan Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Doosan. Basic forecasting techniques help filter out the noise by identifying Doosan Solus' price trends.Doosan Solus 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 Doosan Solus stock to make a market-neutral strategy. Peer analysis of Doosan Solus could also be used in its relative valuation, which is a method of valuing Doosan Solus by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Doosan Solus 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 Doosan Solus' 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 Doosan Solus' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Doosan Solus Market Strength Events
Market strength indicators help investors to evaluate how Doosan Solus stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Doosan Solus shares will generate the highest return on investment. By undertsting and applying Doosan Solus stock market strength indicators, traders can identify Doosan Solus Co entry and exit signals to maximize returns.
Doosan Solus Risk Indicators
The analysis of Doosan Solus' 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 Doosan Solus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting doosan 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.
Mean Deviation | 1.65 | |||
Standard Deviation | 2.28 | |||
Variance | 5.18 |
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 Doosan Solus
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 Doosan Solus 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 Doosan Solus will appreciate offsetting losses from the drop in the long position's value.Moving together with Doosan Stock
0.66 | 005935 | Samsung Electronics | PairCorr |
0.7 | 005930 | Samsung Electronics | PairCorr |
0.62 | 373220 | LG Energy Solution | PairCorr |
0.79 | 000660 | SK Hynix | PairCorr |
0.75 | 207940 | Samsung Biologics | PairCorr |
The ability to find closely correlated positions to Doosan Solus could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Doosan Solus 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 Doosan Solus - 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 Doosan Solus Co to buy it.
The correlation of Doosan Solus 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 Doosan Solus moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Doosan Solus 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 Doosan Solus 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.