Growth Fund Mutual Fund Forecast - Triple Exponential Smoothing
| CGFCX Fund | USD 60.28 0.12 0.20% |
The Triple Exponential Smoothing forecasted value of Growth Fund Of on the next trading day is expected to be 60.27 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 27.62. Growth Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Growth Fund stock prices and determine the direction of Growth Fund Of's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Growth Fund's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Growth Fund to cross-verify your projections. Growth |
Most investors in Growth Fund 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 Growth Fund's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Growth Fund's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Growth Fund - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Growth Fund prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Growth Fund price movement. However, neither of these exponential smoothing models address any seasonality of Growth Fund. Growth Fund Triple Exponential Smoothing Price Forecast For the 2nd of May
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Growth Fund Of on the next trading day is expected to be 60.27 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.35, and the sum of the absolute errors of 27.62.Please note that although there have been many attempts to predict Growth 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 Growth Fund's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Growth Fund Mutual Fund Forecast Pattern
| Backtest Growth Fund | Growth Fund Price Prediction | Buy or Sell Advice |
Growth Fund Forecasted Value
In the context of forecasting Growth Fund'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. Growth Fund's downside and upside margins for the forecasting period are 59.32 and 61.22, respectively. We have considered Growth Fund'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Growth Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Growth Fund 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0723 |
| MAD | Mean absolute deviation | 0.4682 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 27.6233 |
Predictive Modules for Growth Fund
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Growth 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 Growth Fund'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 Growth Fund
For every potential investor in Growth, whether a beginner or expert, Growth Fund's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Growth Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Growth. Basic forecasting techniques help filter out the noise by identifying Growth Fund's price trends.Growth Fund 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 Growth Fund mutual fund to make a market-neutral strategy. Peer analysis of Growth Fund could also be used in its relative valuation, which is a method of valuing Growth Fund by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Growth 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 Growth Fund'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 Growth Fund's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Growth Fund Market Strength Events
Market strength indicators help investors to evaluate how Growth Fund 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 Growth Fund shares will generate the highest return on investment. By undertsting and applying Growth Fund mutual fund market strength indicators, traders can identify Growth Fund Of entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 60.28 | |||
| Day Typical Price | 60.28 | |||
| Price Action Indicator | 0.06 | |||
| Period Momentum Indicator | 0.12 |
Growth Fund Risk Indicators
The analysis of Growth Fund'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 Growth Fund's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting growth 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 | 0.7685 | |||
| Semi Deviation | 0.7528 | |||
| Standard Deviation | 0.9666 | |||
| Variance | 0.9343 | |||
| Downside Variance | 0.7829 | |||
| Semi Variance | 0.5667 | |||
| Expected Short fall | (0.89) |
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.
Pair Trading with Growth Fund
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Growth Fund position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Growth Fund will appreciate offsetting losses from the drop in the long position's value.Moving together with Growth Mutual Fund
| 0.82 | AMECX | Income Fund | PairCorr |
| 0.9 | RNEBX | New World Fund | PairCorr |
| 0.93 | AMFCX | American Mutual | PairCorr |
| 0.93 | AMFFX | American Mutual | PairCorr |
| 0.8 | RNCCX | American Funds Me | PairCorr |
The ability to find closely correlated positions to Growth Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Growth Fund when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Growth Fund - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Growth Fund Of to buy it.
The correlation of Growth Fund is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Growth Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Growth Fund moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Growth Fund can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Growth Fund to cross-verify your projections. Note that the Growth Fund information on this page should be used as a complementary analysis to other Growth Fund'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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.