Daol Investment Stock Forecast - Simple Regression

030210 Stock   2,920  45.00  1.52%   
The Simple Regression forecasted value of Daol Investment Securities on the next trading day is expected to be 3,065 with a mean absolute deviation of 152.82 and the sum of the absolute errors of 9,322. Investors can use prediction functions to forecast Daol Investment's stock prices and determine the direction of Daol Investment Securities'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 Daol Investment'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.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Daol Investment 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.

Daol Investment Simple Regression Price Forecast For the 2nd of February

Given 90 days horizon, the Simple Regression forecasted value of Daol Investment Securities on the next trading day is expected to be 3,065 with a mean absolute deviation of 152.82, mean absolute percentage error of 38,834, and the sum of the absolute errors of 9,322.
Please note that although there have been many attempts to predict Daol 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 Daol Investment's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Daol Investment Stock Forecast Pattern

Daol Investment Forecasted Value

In the context of forecasting Daol Investment'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. Daol Investment's downside and upside margins for the forecasting period are 3,061 and 3,068, respectively. We have considered Daol Investment'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
2,920
3,065
Expected Value
3,068
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 Daol Investment stock data series using in forecasting. Note that when a statistical model is used to represent Daol Investment 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 Criteria128.6776
BiasArithmetic mean of the errors None
MADMean absolute deviation152.8218
MAPEMean absolute percentage error0.0538
SAESum of the absolute errors9322.1311
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 Daol Investment Securities 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 Daol Investment

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

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

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

Daol Investment Secu 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 Daol Investment'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 Daol Investment's current price.

Daol Investment Market Strength Events

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

Daol Investment Risk Indicators

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

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 Daol Investment 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 Daol Investment will appreciate offsetting losses from the drop in the long position's value.

Moving against Daol Stock

  0.67373220 LG Energy SolutionPairCorr
  0.46051915 LG ChemPairCorr
  0.41051910 LG ChemicalsPairCorr
The ability to find closely correlated positions to Daol Investment could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Daol Investment 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 Daol Investment - 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 Daol Investment Securities to buy it.
The correlation of Daol Investment 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 Daol Investment moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Daol Investment Secu 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 Daol Investment 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