Khang Dien Stock Forecast - Simple Regression

KDH Stock   35,950  50.00  0.14%   
The Simple Regression forecasted value of Khang Dien House on the next trading day is expected to be 33,532 with a mean absolute deviation of 1,349 and the sum of the absolute errors of 83,616. Khang 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 Khang Dien 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.

Khang Dien Simple Regression Price Forecast For the 26th of December

Given 90 days horizon, the Simple Regression forecasted value of Khang Dien House on the next trading day is expected to be 33,532 with a mean absolute deviation of 1,349, mean absolute percentage error of 2,604,451, and the sum of the absolute errors of 83,616.
Please note that although there have been many attempts to predict Khang 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 Khang Dien's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Khang Dien Stock Forecast Pattern

Backtest Khang DienKhang Dien Price PredictionBuy or Sell Advice 

Khang Dien Forecasted Value

In the context of forecasting Khang Dien'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. Khang Dien's downside and upside margins for the forecasting period are 33,530 and 33,533, respectively. We have considered Khang Dien'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
35,950
33,530
Downside
33,532
Expected Value
33,533
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 Khang Dien stock data series using in forecasting. Note that when a statistical model is used to represent Khang Dien 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 Criteria134.7211
BiasArithmetic mean of the errors None
MADMean absolute deviation1348.6382
MAPEMean absolute percentage error0.0387
SAESum of the absolute errors83615.5671
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 Khang Dien House 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 Khang Dien

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Khang Dien House. 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
35,94835,95035,952
Details
Intrinsic
Valuation
LowRealHigh
29,71229,71439,545
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28,62535,65142,677
Details

Other Forecasting Options for Khang Dien

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

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

Khang Dien House 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 Khang Dien'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 Khang Dien's current price.

Khang Dien Market Strength Events

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

Khang Dien Risk Indicators

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

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 Khang Dien 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 Khang Dien will appreciate offsetting losses from the drop in the long position's value.

Moving together with Khang Stock

  0.62ADS Damsan JSCPairCorr
  0.74AAA An Phat PlasticPairCorr

Moving against Khang Stock

  0.55BCF Bich Chi FoodPairCorr
  0.39SMA Saigon Machinery SparePairCorr
  0.36ICT Telecoms Informatics JSCPairCorr
The ability to find closely correlated positions to Khang Dien could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Khang Dien 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 Khang Dien - 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 Khang Dien House to buy it.
The correlation of Khang Dien 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 Khang Dien moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Khang Dien House 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 Khang Dien 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 Khang Stock

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