Nasdaq 100 Mutual Fund Forecast - Polynomial Regression

Nasdaq 100 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Nasdaq 100 Fund Class as well as the accuracy indicators are determined from the period prices.

Nasdaq 100 Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Nasdaq 100 Fund Class on the next trading day is expected to be 80.41 with a mean absolute deviation of 0.70, mean absolute percentage error of 0.81, and the sum of the absolute errors of 42.56.

Nasdaq 100 Mutual Fund Forecast Pattern

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Nasdaq 100 Price Prediction

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Nasdaq 100 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 Nasdaq 100 mutual fund data series using in forecasting. Note that when a statistical model is used to represent Nasdaq 100 mutual 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 Nasdaq 100 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 Nasdaq 100

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nasdaq 100 Fund. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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 78.83 79.79 80.75 Details

Intrinsic Valuation Low Real High 71.81 85.94 86.90 Details

Bollinger Band Projection (param) Low Middle High 73.75 77.20 80.64 Details

Other Forecasting Options for Nasdaq 100

For every potential investor in Nasdaq, whether a beginner or expert, Nasdaq 100's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nasdaq Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nasdaq. Basic forecasting techniques help filter out the noise by identifying Nasdaq 100's price trends.

Nasdaq 100 Related Equities

Risk & Return

Correlation

Nasdaq 100 Fund Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Nasdaq 100'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 Nasdaq 100's current price.

Nasdaq 100 Market Strength Events

Nasdaq 100 Risk Indicators

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.

Other Information on Investing in Nasdaq Mutual Fund