KBSTAR Short Etf Forecast - Polynomial Regression
| 437350 Etf | 11,705 10.00 0.09% |
KBSTAR |
KBSTAR Short Polynomial Regression Price Forecast For the 30th of November
Given 90 days horizon, the Polynomial Regression forecasted value of KBSTAR Short Term IG on the next trading day is expected to be 11,662 with a mean absolute deviation of 53.94, mean absolute percentage error of 4,992, and the sum of the absolute errors of 3,290.Please note that although there have been many attempts to predict KBSTAR 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 KBSTAR Short's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KBSTAR Short Etf Forecast Pattern
KBSTAR Short Forecasted Value
In the context of forecasting KBSTAR Short'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. KBSTAR Short's downside and upside margins for the forecasting period are 11,662 and 11,663, respectively. We have considered KBSTAR Short'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.
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 KBSTAR Short etf data series using in forecasting. Note that when a statistical model is used to represent KBSTAR Short 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.| AIC | Akaike Information Criteria | 126.6261 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 53.9358 |
| MAPE | Mean absolute percentage error | 0.0047 |
| SAE | Sum of the absolute errors | 3290.0819 |
Predictive Modules for KBSTAR Short
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KBSTAR Short Term. 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 KBSTAR Short. Your research has to be compared to or analyzed against KBSTAR Short's peers to derive any actionable benefits. When done correctly, KBSTAR Short'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 KBSTAR Short Term.Other Forecasting Options for KBSTAR Short
For every potential investor in KBSTAR, whether a beginner or expert, KBSTAR Short's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KBSTAR Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KBSTAR. Basic forecasting techniques help filter out the noise by identifying KBSTAR Short's price trends.KBSTAR Short 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 KBSTAR Short etf to make a market-neutral strategy. Peer analysis of KBSTAR Short could also be used in its relative valuation, which is a method of valuing KBSTAR Short by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KBSTAR Short Term 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 KBSTAR Short'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 KBSTAR Short's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KBSTAR Short Market Strength Events
Market strength indicators help investors to evaluate how KBSTAR Short etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KBSTAR Short shares will generate the highest return on investment. By undertsting and applying KBSTAR Short etf market strength indicators, traders can identify KBSTAR Short Term IG entry and exit signals to maximize returns.
KBSTAR Short Risk Indicators
The analysis of KBSTAR Short'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 KBSTAR Short's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kbstar 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.
| Mean Deviation | 0.3495 | |||
| Semi Deviation | 0.2223 | |||
| Standard Deviation | 0.4636 | |||
| Variance | 0.215 | |||
| Downside Variance | 0.1718 | |||
| Semi Variance | 0.0494 | |||
| Expected Short fall | (0.44) |
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 KBSTAR Short
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 KBSTAR Short 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 KBSTAR Short will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to KBSTAR Short could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KBSTAR Short 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 KBSTAR Short - 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 KBSTAR Short Term IG to buy it.
The correlation of KBSTAR Short 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 KBSTAR Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KBSTAR Short Term 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 KBSTAR Short 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.