Korea Closed Fund Forecast - Simple Regression

KF Fund  USD 38.15  1.83  5.04%   
The Simple Regression forecasted value of Korea Closed on the next trading day is expected to be 35.92 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 61.46. Korea Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Korea Closed's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 4th of January 2026 the relative strength index (rsi) of Korea Closed's share price is below 20 . This indicates that the fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Korea Closed's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Korea Closed and does not consider all of the tangible or intangible factors available from Korea Closed's fundamental data. We analyze noise-free headlines and recent hype associated with Korea Closed, which may create opportunities for some arbitrage if properly timed.
Using Korea Closed hype-based prediction, you can estimate the value of Korea Closed from the perspective of Korea Closed response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Korea Closed on the next trading day is expected to be 35.92 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 61.46.

Korea Closed after-hype prediction price

    
  USD 38.3  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Korea Closed to cross-verify your projections.

Korea Closed Additional Predictive Modules

Most predictive techniques to examine Korea price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Korea using various technical indicators. When you analyze Korea charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Korea Closed 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.

Korea Closed Simple Regression Price Forecast For the 5th of January

Given 90 days horizon, the Simple Regression forecasted value of Korea Closed on the next trading day is expected to be 35.92 with a mean absolute deviation of 1.01, mean absolute percentage error of 1.57, and the sum of the absolute errors of 61.46.
Please note that although there have been many attempts to predict Korea Fund 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 Korea Closed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Korea Closed Fund Forecast Pattern

Backtest Korea ClosedKorea Closed Price PredictionBuy or Sell Advice 

Korea Closed Forecasted Value

In the context of forecasting Korea Closed's Fund 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. Korea Closed's downside and upside margins for the forecasting period are 34.10 and 37.74, respectively. We have considered Korea Closed'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
38.15
35.92
Expected Value
37.74
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 Korea Closed fund data series using in forecasting. Note that when a statistical model is used to represent Korea Closed fund, 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 Criteria118.563
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0075
MAPEMean absolute percentage error0.0298
SAESum of the absolute errors61.456
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 Korea Closed 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 Korea Closed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Korea Closed. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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
36.4838.3040.12
Details
Intrinsic
Valuation
LowRealHigh
34.3440.3942.21
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.2734.4537.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Korea Closed. Your research has to be compared to or analyzed against Korea Closed's peers to derive any actionable benefits. When done correctly, Korea Closed'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 Korea Closed.

Other Forecasting Options for Korea Closed

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

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

Korea Closed Technical and Predictive Analytics

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

Korea Closed Market Strength Events

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

Korea Closed Risk Indicators

The analysis of Korea Closed'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 Korea Closed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting korea fund 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.

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Other Information on Investing in Korea Fund

Korea Closed financial ratios help investors to determine whether Korea Fund 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 Korea with respect to the benefits of owning Korea Closed security.
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