TSE Stock Forecast - Simple Moving Average

131290 Stock  KRW 44,100  400.00  0.92%   
The Simple Moving Average forecasted value of TSE Co on the next trading day is expected to be 44,100 with a mean absolute deviation of 1,241 and the sum of the absolute errors of 73,200. TSE Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast TSE stock prices and determine the direction of TSE Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of TSE's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for TSE is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

TSE Simple Moving Average Price Forecast For the 19th of January

Given 90 days horizon, the Simple Moving Average forecasted value of TSE Co on the next trading day is expected to be 44,100 with a mean absolute deviation of 1,241, mean absolute percentage error of 2,502,924, and the sum of the absolute errors of 73,200.
Please note that although there have been many attempts to predict TSE 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 TSE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TSE Stock Forecast Pattern

Backtest TSETSE Price PredictionBuy or Sell Advice 

TSE Forecasted Value

In the context of forecasting TSE'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. TSE's downside and upside margins for the forecasting period are 44,096 and 44,104, respectively. We have considered TSE'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
44,100
44,096
Downside
44,100
Expected Value
44,104
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of TSE stock data series using in forecasting. Note that when a statistical model is used to represent TSE 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 Criteria129.1677
BiasArithmetic mean of the errors 276.2712
MADMean absolute deviation1240.678
MAPEMean absolute percentage error0.0296
SAESum of the absolute errors73200.0
The simple moving average model is conceptually a linear regression of the current value of TSE Co price series against current and previous (unobserved) value of TSE. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for TSE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TSE Co. 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
44,09644,10044,104
Details
Intrinsic
Valuation
LowRealHigh
37,45037,45448,510
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TSE. Your research has to be compared to or analyzed against TSE's peers to derive any actionable benefits. When done correctly, TSE'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 TSE Co.

Other Forecasting Options for TSE

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

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

TSE Co 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 TSE'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 TSE's current price.

TSE Market Strength Events

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

TSE Risk Indicators

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

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

Moving against TSE Stock

  0.82402030 Konan TechnologyPairCorr
  0.81035900 JYP Entertainment CorpPairCorr
  0.8035900 JYP EntertainmentPairCorr
  0.74083650 BHI CoPairCorr
  0.56078160 MEDIPOSTPairCorr
The ability to find closely correlated positions to TSE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TSE 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 TSE - 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 TSE Co to buy it.
The correlation of TSE 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 TSE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TSE Co 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 TSE 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 TSE Stock

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