KBUY Etf Forecast - Polynomial Regression

KBUY Etf  USD 17.28  0.11  0.63%   
The Polynomial Regression forecasted value of KBUY on the next trading day is expected to be 17.09 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.54. KBUY Etf Forecast is based on your current time horizon.
  
KBUY polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for KBUY as well as the accuracy indicators are determined from the period prices.

KBUY Polynomial Regression Price Forecast For the 19th of December

Given 90 days horizon, the Polynomial Regression forecasted value of KBUY on the next trading day is expected to be 17.09 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.1, and the sum of the absolute errors of 13.54.
Please note that although there have been many attempts to predict KBUY 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 KBUY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KBUY Etf Forecast Pattern

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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 KBUY etf data series using in forecasting. Note that when a statistical model is used to represent KBUY 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 Criteria115.8075
BiasArithmetic mean of the errors None
MADMean absolute deviation0.222
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors13.5437
A single variable polynomial regression model attempts to put a curve through the KBUY 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 KBUY

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KBUY. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of KBUY's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
17.2817.2817.28
Details
Intrinsic
Valuation
LowRealHigh
16.5116.5119.01
Details

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

KBUY Market Strength Events

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

KBUY Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether KBUY offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of KBUY's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Kbuy Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Kbuy Etf:
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in employment.
You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
The market value of KBUY is measured differently than its book value, which is the value of KBUY that is recorded on the company's balance sheet. Investors also form their own opinion of KBUY's value that differs from its market value or its book value, called intrinsic value, which is KBUY's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because KBUY's market value can be influenced by many factors that don't directly affect KBUY's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between KBUY's value and its price as these two are different measures arrived at by different means. Investors typically determine if KBUY is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KBUY's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.