IE00B0H4TS55 Fund Forecast - Polynomial Regression

IE00B0H4TS55 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for IE00B0H4TS55 as well as the accuracy indicators are determined from the period prices.

IE00B0H4TS55 Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of IE00B0H4TS55 on the next trading day is expected to be 185.82 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.14, and the sum of the absolute errors of 17.44.

IE00B0H4TS55 Fund Forecast Pattern

Backtest IE00B0H4TS55

IE00B0H4TS55 Price Prediction

Buy or Sell Advice

IE00B0H4TS55 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 IE00B0H4TS55 fund data series using in forecasting. Note that when a statistical model is used to represent IE00B0H4TS55 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 IE00B0H4TS55 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 IE00B0H4TS55

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IE00B0H4TS55. 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 185.08 185.27 185.46 Details

Intrinsic Valuation Low Real High 166.74 185.69 185.88 Details

Bollinger Band Projection (param) Low Middle High 185.14 185.34 185.54 Details

Other Forecasting Options for IE00B0H4TS55

For every potential investor in IE00B0H4TS55, whether a beginner or expert, IE00B0H4TS55's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IE00B0H4TS55 Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IE00B0H4TS55. Basic forecasting techniques help filter out the noise by identifying IE00B0H4TS55's price trends.

IE00B0H4TS55 Related Equities

Risk & Return

Correlation

IE00B0H4TS55 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 IE00B0H4TS55'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 IE00B0H4TS55's current price.

IE00B0H4TS55 Market Strength Events

IE00B0H4TS55 Risk Indicators

Currently Active Assets on Macroaxis

Other Information on Investing in IE00B0H4TS55 Fund