Calvert Smallcap Mutual Fund Forecast - 20 Period Moving Average

CALRX Fund  USD 37.51  0.31  0.83%   
The 20 Period Moving Average forecasted value of Calvert Smallcap Fund6 on the next trading day is expected to be 38.96 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 47.90. Calvert Mutual Fund Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Calvert Smallcap Fund6 is based on a synthetically constructed Calvert Smallcapdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Calvert Smallcap 20 Period Moving Average Price Forecast For the 26th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Calvert Smallcap Fund6 on the next trading day is expected to be 38.96 with a mean absolute deviation of 1.17, mean absolute percentage error of 1.99, and the sum of the absolute errors of 47.90.
Please note that although there have been many attempts to predict Calvert 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 Calvert Smallcap's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Calvert Smallcap Mutual Fund Forecast Pattern

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Calvert Smallcap Forecasted Value

In the context of forecasting Calvert Smallcap'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. Calvert Smallcap's downside and upside margins for the forecasting period are 37.79 and 40.12, respectively. We have considered Calvert Smallcap'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
37.51
38.96
Expected Value
40.12
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Calvert Smallcap mutual fund data series using in forecasting. Note that when a statistical model is used to represent Calvert Smallcap 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 Criteria82.0413
BiasArithmetic mean of the errors -0.2844
MADMean absolute deviation1.1682
MAPEMean absolute percentage error0.0301
SAESum of the absolute errors47.897
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Calvert Smallcap Fund6 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Calvert Smallcap

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Calvert Smallcap Fund6. 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
LowEstimatedHigh
36.3837.5538.72
Details
Intrinsic
Valuation
LowRealHigh
36.5937.7638.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.6238.9651.29
Details

Other Forecasting Options for Calvert Smallcap

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

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

Calvert Smallcap Fund6 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 Calvert Smallcap'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 Calvert Smallcap's current price.

Calvert Smallcap Market Strength Events

Market strength indicators help investors to evaluate how Calvert Smallcap 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 Calvert Smallcap shares will generate the highest return on investment. By undertsting and applying Calvert Smallcap mutual fund market strength indicators, traders can identify Calvert Smallcap Fund6 entry and exit signals to maximize returns.

Calvert Smallcap Risk Indicators

The analysis of Calvert Smallcap'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 Calvert Smallcap's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calvert 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 Calvert Mutual Fund

Calvert Smallcap financial ratios help investors to determine whether Calvert 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 Calvert with respect to the benefits of owning Calvert Smallcap security.
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