BK Variable Fund Forecast - Polynomial Regression

0P0000120T   16.24  0.16  0.98%   
The Polynomial Regression forecasted value of BK Variable Internacional on the next trading day is expected to be 15.75 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.73. Investors can use prediction functions to forecast BK Variable's fund prices and determine the direction of BK Variable Internacional's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
BK Variable polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BK Variable Internacional as well as the accuracy indicators are determined from the period prices.

BK Variable Polynomial Regression Price Forecast For the 17th of March 2025

Given 90 days horizon, the Polynomial Regression forecasted value of BK Variable Internacional on the next trading day is expected to be 15.75 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.73.
Please note that although there have been many attempts to predict 0P0000120T 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 BK Variable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BK Variable Fund Forecast Pattern

BK Variable Forecasted Value

In the context of forecasting BK Variable'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. BK Variable's downside and upside margins for the forecasting period are 14.85 and 16.65, respectively. We have considered BK Variable'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
16.24
15.75
Expected Value
16.65
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 BK Variable fund data series using in forecasting. Note that when a statistical model is used to represent BK Variable 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 Criteria114.3688
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1268
MAPEMean absolute percentage error0.0072
SAESum of the absolute errors7.7333
A single variable polynomial regression model attempts to put a curve through the BK Variable 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 BK Variable

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BK Variable Internacional. 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.

Other Forecasting Options for BK Variable

For every potential investor in 0P0000120T, whether a beginner or expert, BK Variable's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 0P0000120T Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 0P0000120T. Basic forecasting techniques help filter out the noise by identifying BK Variable's price trends.

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

BK Variable Internacional 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 BK Variable'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 BK Variable's current price.

BK Variable Market Strength Events

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

BK Variable Risk Indicators

The analysis of BK Variable'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 BK Variable's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 0p0000120t 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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