KFA Mount Etf Forecast - Polynomial Regression
| KMLM Etf | USD 27.90 0.08 0.29% |
The Polynomial Regression forecasted value of KFA Mount Lucas on the next trading day is expected to be 27.55 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.24. KFA Etf Forecast is based on your current time horizon.
KFA |
KFA Mount Polynomial Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of KFA Mount Lucas on the next trading day is expected to be 27.55 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.24.Please note that although there have been many attempts to predict KFA 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 KFA Mount's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KFA Mount Etf Forecast Pattern
| Backtest KFA Mount | KFA Mount Price Prediction | Buy or Sell Advice |
KFA Mount Forecasted Value
In the context of forecasting KFA Mount'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. KFA Mount's downside and upside margins for the forecasting period are 26.84 and 28.27, respectively. We have considered KFA Mount'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 KFA Mount etf data series using in forecasting. Note that when a statistical model is used to represent KFA Mount 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 | 115.5723 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2171 |
| MAPE | Mean absolute percentage error | 0.0077 |
| SAE | Sum of the absolute errors | 13.2448 |
Predictive Modules for KFA Mount
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KFA Mount Lucas. 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.Other Forecasting Options for KFA Mount
For every potential investor in KFA, whether a beginner or expert, KFA Mount's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KFA Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KFA. Basic forecasting techniques help filter out the noise by identifying KFA Mount's price trends.KFA Mount 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 KFA Mount etf to make a market-neutral strategy. Peer analysis of KFA Mount could also be used in its relative valuation, which is a method of valuing KFA Mount by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KFA Mount Lucas 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 KFA Mount'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 KFA Mount's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KFA Mount Market Strength Events
Market strength indicators help investors to evaluate how KFA Mount etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KFA Mount shares will generate the highest return on investment. By undertsting and applying KFA Mount etf market strength indicators, traders can identify KFA Mount Lucas entry and exit signals to maximize returns.
KFA Mount Risk Indicators
The analysis of KFA Mount'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 KFA Mount's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kfa 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 | 0.5781 | |||
| Standard Deviation | 0.733 | |||
| Variance | 0.5372 |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of KFA Mount to cross-verify your projections. You can also try the Stocks Directory module to find actively traded stocks across global markets.
The market value of KFA Mount Lucas is measured differently than its book value, which is the value of KFA that is recorded on the company's balance sheet. Investors also form their own opinion of KFA Mount's value that differs from its market value or its book value, called intrinsic value, which is KFA Mount'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 KFA Mount's market value can be influenced by many factors that don't directly affect KFA Mount'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 KFA Mount's value and its price as these two are different measures arrived at by different means. Investors typically determine if KFA Mount is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KFA Mount'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.