Nasdaq-100 Index Mutual Fund Forecast - Polynomial Regression

NASDX Fund  USD 41.69  0.36  0.86%   
The Polynomial Regression forecasted value of Nasdaq 100 Index Fund on the next trading day is expected to be 42.22 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 23.89. Nasdaq-100 Mutual Fund Forecast is based on your current time horizon.
  
Nasdaq-100 Index 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 Index Fund as well as the accuracy indicators are determined from the period prices.

Nasdaq-100 Index Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Nasdaq 100 Index Fund on the next trading day is expected to be 42.22 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.25, and the sum of the absolute errors of 23.89.
Please note that although there have been many attempts to predict Nasdaq-100 Mutual 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 Nasdaq-100 Index's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nasdaq-100 Index Mutual Fund Forecast Pattern

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Nasdaq-100 Index Forecasted Value

In the context of forecasting Nasdaq-100 Index's Mutual 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. Nasdaq-100 Index's downside and upside margins for the forecasting period are 41.12 and 43.33, respectively. We have considered Nasdaq-100 Index'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
41.69
42.22
Expected Value
43.33
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 Nasdaq-100 Index mutual fund data series using in forecasting. Note that when a statistical model is used to represent Nasdaq-100 Index 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.
AICAkaike Information Criteria116.7165
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3916
MAPEMean absolute percentage error0.0097
SAESum of the absolute errors23.8906
A single variable polynomial regression model attempts to put a curve through the Nasdaq-100 Index 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 Nasdaq-100 Index

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 Index. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nasdaq-100 Index's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
40.9542.0543.15
Details
Intrinsic
Valuation
LowRealHigh
40.3741.4742.57
Details
Bollinger
Band Projection (param)
LowMiddleHigh
40.0041.4742.93
Details

Other Forecasting Options for Nasdaq-100 Index

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

Nasdaq-100 Index 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 Nasdaq-100 Index mutual fund to make a market-neutral strategy. Peer analysis of Nasdaq-100 Index could also be used in its relative valuation, which is a method of valuing Nasdaq-100 Index by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Nasdaq 100 Index 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 Index'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 Index's current price.

Nasdaq-100 Index Market Strength Events

Market strength indicators help investors to evaluate how Nasdaq-100 Index mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Nasdaq-100 Index shares will generate the highest return on investment. By undertsting and applying Nasdaq-100 Index mutual fund market strength indicators, traders can identify Nasdaq 100 Index Fund entry and exit signals to maximize returns.

Nasdaq-100 Index Risk Indicators

The analysis of Nasdaq-100 Index'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 Nasdaq-100 Index's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nasdaq-100 mutual 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.

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-100 Mutual Fund

Nasdaq-100 Index financial ratios help investors to determine whether Nasdaq-100 Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Nasdaq-100 with respect to the benefits of owning Nasdaq-100 Index security.
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