Calamos Market Mutual Fund Forecast - Polynomial Regression
| CVSCX Fund | USD 14.63 0.01 0.07% |
The Polynomial Regression forecasted value of Calamos Market Neutral on the next trading day is expected to be 14.64 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.67. Calamos Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Calamos Market stock prices and determine the direction of Calamos Market Neutral's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Calamos Market's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Calamos Market to cross-verify your projections. Calamos |
Most investors in Calamos Market 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 Calamos Market's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Calamos Market's price structures and extracts relationships that further increase the generated results' accuracy.
Calamos Market polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Calamos Market Neutral as well as the accuracy indicators are determined from the period prices. Calamos Market Polynomial Regression Price Forecast For the 20th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Calamos Market Neutral on the next trading day is expected to be 14.64 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.67.Please note that although there have been many attempts to predict Calamos 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 Calamos Market's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Calamos Market Mutual Fund Forecast Pattern
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Calamos Market Forecasted Value
In the context of forecasting Calamos Market'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. Calamos Market's downside and upside margins for the forecasting period are 14.54 and 14.74, respectively. We have considered Calamos Market'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 Calamos Market mutual fund data series using in forecasting. Note that when a statistical model is used to represent Calamos Market 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 | 109.4417 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.011 |
| MAPE | Mean absolute percentage error | 8.0E-4 |
| SAE | Sum of the absolute errors | 0.6705 |
Predictive Modules for Calamos Market
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 Market Neutral. 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 Calamos Market'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 Calamos Market
For every potential investor in Calamos, whether a beginner or expert, Calamos Market's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Calamos Mutual 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 Market's price trends.Calamos Market 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 Market mutual fund to make a market-neutral strategy. Peer analysis of Calamos Market could also be used in its relative valuation, which is a method of valuing Calamos Market by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Calamos Market Neutral 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 Calamos Market'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 Market's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Calamos Market Market Strength Events
Market strength indicators help investors to evaluate how Calamos Market 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 Calamos Market shares will generate the highest return on investment. By undertsting and applying Calamos Market mutual fund market strength indicators, traders can identify Calamos Market Neutral 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 | 14.63 | |||
| Day Typical Price | 14.63 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Calamos Market Risk Indicators
The analysis of Calamos Market'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 Market's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calamos 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 | 0.0766 | |||
| Standard Deviation | 0.0993 | |||
| Variance | 0.0099 | |||
| Downside Variance | 0.0151 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.1) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Calamos Market in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Calamos Market's short interest history, or implied volatility extrapolated from Calamos Market options trading.
Pair Trading with Calamos Market
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 Calamos Market 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 Calamos Market will appreciate offsetting losses from the drop in the long position's value.Moving together with Calamos Mutual Fund
| 0.9 | CVAIX | Calamos Opportunistic | PairCorr |
| 0.89 | CVACX | Calamos Opportunistic | PairCorr |
| 0.9 | CVAAX | Calamos Opportunistic | PairCorr |
| 0.91 | CVGRX | Calamos Growth | PairCorr |
| 0.91 | CVGCX | Calamos Growth | PairCorr |
The ability to find closely correlated positions to Calamos Market could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Calamos Market 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 Calamos Market - 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 Calamos Market Neutral to buy it.
The correlation of Calamos Market 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 Calamos Market moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos Market Neutral 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 Calamos Market 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 Calamos Market to cross-verify your projections. Note that the Calamos Market Neutral information on this page should be used as a complementary analysis to other Calamos Market'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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.