Samsung KODEX Etf Forecast - Simple Regression

266370 Etf   14,640  310.00  2.07%   
The Simple Regression forecasted value of Samsung KODEX IT on the next trading day is expected to be 14,080 with a mean absolute deviation of 421.96 and the sum of the absolute errors of 25,739. Investors can use prediction functions to forecast Samsung KODEX's etf prices and determine the direction of Samsung KODEX IT's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Samsung KODEX 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.

Samsung KODEX Simple Regression Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Regression forecasted value of Samsung KODEX IT on the next trading day is expected to be 14,080 with a mean absolute deviation of 421.96, mean absolute percentage error of 249,240, and the sum of the absolute errors of 25,739.
Please note that although there have been many attempts to predict Samsung Etf 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 Samsung KODEX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Samsung KODEX Etf Forecast Pattern

Samsung KODEX Forecasted Value

In the context of forecasting Samsung KODEX's Etf 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. Samsung KODEX's downside and upside margins for the forecasting period are 14,078 and 14,081, respectively. We have considered Samsung KODEX'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
14,640
14,078
Downside
14,080
Expected Value
14,081
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 Samsung KODEX etf data series using in forecasting. Note that when a statistical model is used to represent Samsung KODEX etf, 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 Criteria130.5367
BiasArithmetic mean of the errors None
MADMean absolute deviation421.959
MAPEMean absolute percentage error0.0271
SAESum of the absolute errors25739.4997
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 Samsung KODEX IT 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 Samsung KODEX

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Samsung KODEX IT. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Samsung KODEX. Your research has to be compared to or analyzed against Samsung KODEX's peers to derive any actionable benefits. When done correctly, Samsung KODEX'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 Samsung KODEX IT.

Other Forecasting Options for Samsung KODEX

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

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

Samsung KODEX IT Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Samsung KODEX'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 Samsung KODEX's current price.

Samsung KODEX Market Strength Events

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

Samsung KODEX Risk Indicators

The analysis of Samsung KODEX'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 Samsung KODEX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting samsung etf 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 Samsung KODEX

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 Samsung KODEX 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 Samsung KODEX will appreciate offsetting losses from the drop in the long position's value.

Moving against Samsung Etf

  0.47456680 456680PairCorr
The ability to find closely correlated positions to Samsung KODEX could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Samsung KODEX 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 Samsung KODEX - 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 Samsung KODEX IT to buy it.
The correlation of Samsung KODEX 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 Samsung KODEX moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Samsung KODEX IT 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 Samsung KODEX 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