BankInvest Lange Fund Forecast - Polynomial Regression

BankInvest Lange polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BankInvest Lange Danske as well as the accuracy indicators are determined from the period prices.

BankInvest Lange Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of BankInvest Lange Danske on the next trading day is expected to be 90.50 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.53.

BankInvest Lange Fund Forecast Pattern

BankInvest Lange Forecasted Value

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 BankInvest Lange fund data series using in forecasting. Note that when a statistical model is used to represent BankInvest Lange 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. A single variable polynomial regression model attempts to put a curve through the BankInvest Lange 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 + ... + a_m*X^m

Predictive Modules for BankInvest Lange

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BankInvest Lange Danske. 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.

Hype Prediction Low Estimated High 89.78 89.96 90.14 Details

Intrinsic Valuation Low Real High 82.42 82.60 98.96 Details

Bollinger Band Projection (param) Low Middle High 89.10 89.74 90.37 Details

Other Forecasting Options for BankInvest Lange

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

BankInvest Lange Related Equities

Risk & Return

Correlation

BankInvest Lange Danske 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 BankInvest Lange'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 BankInvest Lange's current price.

BankInvest Lange Market Strength Events

BankInvest Lange Risk Indicators

Other Information on Investing in BankInvest Fund