New Economy Mutual Fund Forecast - Polynomial Regression
| RNGCX Fund | USD 55.23 0.10 0.18% |
The Polynomial Regression forecasted value of New Economy Fund on the next trading day is expected to be 53.96 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.92. New Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast New Economy stock prices and determine the direction of New Economy Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of New Economy's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of New Economy to cross-verify your projections. New |
Most investors in New Economy cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the New Economy's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets New Economy's price structures and extracts relationships that further increase the generated results' accuracy.
New Economy polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for New Economy Fund as well as the accuracy indicators are determined from the period prices. New Economy Polynomial Regression Price Forecast For the 26th of April
Given 90 days horizon, the Polynomial Regression forecasted value of New Economy Fund on the next trading day is expected to be 53.96 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.30, and the sum of the absolute errors of 27.92.Please note that although there have been many attempts to predict New 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 New Economy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
New Economy Mutual Fund Forecast Pattern
| Backtest New Economy | New Economy Price Prediction | Buy or Sell Advice |
New Economy Forecasted Value
In the context of forecasting New Economy'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. New Economy's downside and upside margins for the forecasting period are 53.00 and 54.92, respectively. We have considered New Economy'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.
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 New Economy mutual fund data series using in forecasting. Note that when a statistical model is used to represent New Economy 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.| AIC | Akaike Information Criteria | 118.733 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4503 |
| MAPE | Mean absolute percentage error | 0.0081 |
| SAE | Sum of the absolute errors | 27.9179 |
Predictive Modules for New Economy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New Economy 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New Economy'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.
Other Forecasting Options for New Economy
For every potential investor in New, whether a beginner or expert, New Economy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. New Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in New. Basic forecasting techniques help filter out the noise by identifying New Economy's price trends.New Economy 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 New Economy mutual fund to make a market-neutral strategy. Peer analysis of New Economy could also be used in its relative valuation, which is a method of valuing New Economy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
New Economy 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 New Economy'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 New Economy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
New Economy Market Strength Events
Market strength indicators help investors to evaluate how New Economy 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 New Economy shares will generate the highest return on investment. By undertsting and applying New Economy mutual fund market strength indicators, traders can identify New Economy Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 55.23 | |||
| Day Typical Price | 55.23 | |||
| Price Action Indicator | (0.05) | |||
| Period Momentum Indicator | (0.10) | |||
| Relative Strength Index | 66.71 |
New Economy Risk Indicators
The analysis of New Economy'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 New Economy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting new 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.
| Mean Deviation | 0.712 | |||
| Semi Deviation | 0.7878 | |||
| Standard Deviation | 0.9308 | |||
| Variance | 0.8664 | |||
| Downside Variance | 0.8257 | |||
| Semi Variance | 0.6207 | |||
| Expected Short fall | (0.75) |
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.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of New Economy to cross-verify your projections. Note that the New Economy Fund information on this page should be used as a complementary analysis to other New Economy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stocks Directory module to find actively traded stocks across global markets.