ACE KRX Etf Forecast - Polynomial Regression

411060 Etf   17,125  230.00  1.36%   
The Polynomial Regression forecasted value of ACE KRX Physical on the next trading day is expected to be 16,292 with a mean absolute deviation of 382.66 and the sum of the absolute errors of 23,725. Investors can use prediction functions to forecast ACE KRX's etf prices and determine the direction of ACE KRX Physical's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
ACE KRX polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ACE KRX Physical as well as the accuracy indicators are determined from the period prices.

ACE KRX Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of ACE KRX Physical on the next trading day is expected to be 16,292 with a mean absolute deviation of 382.66, mean absolute percentage error of 253,626, and the sum of the absolute errors of 23,725.
Please note that although there have been many attempts to predict ACE 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 ACE KRX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ACE KRX Etf Forecast Pattern

ACE KRX Forecasted Value

In the context of forecasting ACE KRX'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. ACE KRX's downside and upside margins for the forecasting period are 16,290 and 16,293, respectively. We have considered ACE KRX'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
17,125
16,290
Downside
16,292
Expected Value
16,293
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of ACE KRX etf data series using in forecasting. Note that when a statistical model is used to represent ACE KRX 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 Criteria132.392
BiasArithmetic mean of the errors None
MADMean absolute deviation382.6598
MAPEMean absolute percentage error0.0224
SAESum of the absolute errors23724.9051
A single variable polynomial regression model attempts to put a curve through the ACE KRX historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for ACE KRX

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ACE KRX Physical. 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 ACE KRX. Your research has to be compared to or analyzed against ACE KRX's peers to derive any actionable benefits. When done correctly, ACE KRX'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 ACE KRX Physical.

Other Forecasting Options for ACE KRX

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

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

ACE KRX Physical 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 ACE KRX'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 ACE KRX's current price.

ACE KRX Market Strength Events

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

ACE KRX Risk Indicators

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

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 ACE KRX 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 ACE KRX will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to ACE KRX could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ACE KRX 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 ACE KRX - 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 ACE KRX Physical to buy it.
The correlation of ACE KRX 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 ACE KRX moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ACE KRX Physical 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 ACE KRX 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