Calamos Convertible Fund Forecast - 4 Period Moving Average
| CHI Fund | USD 12.10 0.05 0.41% |
The 4 Period Moving Average forecasted value of Calamos Convertible Opportunities on the next trading day is expected to be 12.06 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.98. Calamos Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Calamos Convertible's historical fundamentals, such as revenue growth or operating cash flow patterns.
Calamos |
Calamos Convertible 4 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of Calamos Convertible Opportunities on the next trading day is expected to be 12.06 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.98.Please note that although there have been many attempts to predict Calamos 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 Calamos Convertible's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Calamos Convertible Fund Forecast Pattern
| Backtest Calamos Convertible | Calamos Convertible Price Prediction | Buy or Sell Advice |
Calamos Convertible Forecasted Value
In the context of forecasting Calamos Convertible's 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. Calamos Convertible's downside and upside margins for the forecasting period are 11.17 and 12.95, respectively. We have considered Calamos Convertible'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Calamos Convertible fund data series using in forecasting. Note that when a statistical model is used to represent Calamos Convertible 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 | 107.049 |
| Bias | Arithmetic mean of the errors | -0.0388 |
| MAD | Mean absolute deviation | 0.1225 |
| MAPE | Mean absolute percentage error | 0.0105 |
| SAE | Sum of the absolute errors | 6.9825 |
Predictive Modules for Calamos Convertible
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Calamos Convertible. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Other Forecasting Options for Calamos Convertible
For every potential investor in Calamos, whether a beginner or expert, Calamos Convertible's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Calamos Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Calamos. Basic forecasting techniques help filter out the noise by identifying Calamos Convertible's price trends.Calamos Convertible 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 Calamos Convertible fund to make a market-neutral strategy. Peer analysis of Calamos Convertible could also be used in its relative valuation, which is a method of valuing Calamos Convertible by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Calamos Convertible Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Calamos Convertible'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 Calamos Convertible's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Calamos Convertible Market Strength Events
Market strength indicators help investors to evaluate how Calamos Convertible fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Calamos Convertible shares will generate the highest return on investment. By undertsting and applying Calamos Convertible fund market strength indicators, traders can identify Calamos Convertible Opportunities entry and exit signals to maximize returns.
Calamos Convertible Risk Indicators
The analysis of Calamos Convertible'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 Calamos Convertible's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calamos 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 | 0.739 | |||
| Semi Deviation | 0.6882 | |||
| Standard Deviation | 0.9325 | |||
| Variance | 0.8696 | |||
| Downside Variance | 0.757 | |||
| Semi Variance | 0.4736 | |||
| 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.
Currently Active Assets on Macroaxis
Other Information on Investing in Calamos Fund
Calamos Convertible financial ratios help investors to determine whether Calamos 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 Calamos with respect to the benefits of owning Calamos Convertible security.
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