Calamos ETF Etf Forecast - Simple Regression
| CPSO Etf | USD 25.45 0.01 0.04% |
The Simple Regression forecasted value of Calamos ETF Trust on the next trading day is expected to be 25.42 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.37. Calamos Etf Forecast is based on your current time horizon.
Calamos |
Calamos ETF Simple Regression Price Forecast For the 29th of November
Given 90 days horizon, the Simple Regression forecasted value of Calamos ETF Trust on the next trading day is expected to be 25.42 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.37.Please note that although there have been many attempts to predict Calamos Etf 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 ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Calamos ETF Etf Forecast Pattern
| Backtest Calamos ETF | Calamos ETF Price Prediction | Buy or Sell Advice |
Calamos ETF Forecasted Value
In the context of forecasting Calamos ETF's Etf 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 ETF's downside and upside margins for the forecasting period are 25.30 and 25.55, respectively. We have considered Calamos ETF'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Calamos ETF etf data series using in forecasting. Note that when a statistical model is used to represent Calamos ETF etf, 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 | 78.6402 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0319 |
| MAPE | Mean absolute percentage error | 0.0013 |
| SAE | Sum of the absolute errors | 1.3733 |
Predictive Modules for Calamos ETF
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 ETF Trust. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 ETF'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 ETF
For every potential investor in Calamos, whether a beginner or expert, Calamos ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Calamos Etf 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 ETF's price trends.Calamos ETF 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 ETF etf to make a market-neutral strategy. Peer analysis of Calamos ETF could also be used in its relative valuation, which is a method of valuing Calamos ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Calamos ETF Trust Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Calamos ETF'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 ETF's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Calamos ETF Market Strength Events
Market strength indicators help investors to evaluate how Calamos ETF etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Calamos ETF shares will generate the highest return on investment. By undertsting and applying Calamos ETF etf market strength indicators, traders can identify Calamos ETF Trust 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 | 25.45 | |||
| Day Typical Price | 25.45 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Calamos ETF Risk Indicators
The analysis of Calamos ETF'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 ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calamos etf 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 | 0.1075 | |||
| Standard Deviation | 0.1286 | |||
| Variance | 0.0165 | |||
| Downside Variance | 0.0151 | |||
| Semi Variance | (0) | |||
| Expected Short fall | (0.12) |
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 Calamos ETF
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 ETF 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 ETF will appreciate offsetting losses from the drop in the long position's value.Moving against Calamos Etf
| 0.71 | VWO | Vanguard FTSE Emerging | PairCorr |
| 0.48 | DSJA | DSJA | PairCorr |
| 0.41 | CSCO | Cisco Systems Aggressive Push | PairCorr |
| 0.37 | IBM | International Business Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.35 | RSPY | Tuttle Capital Management | PairCorr |
The ability to find closely correlated positions to Calamos ETF 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 ETF 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 ETF - 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 ETF Trust to buy it.
The correlation of Calamos ETF 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 ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos ETF Trust 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 ETF 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 ETF to cross-verify your projections. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
The market value of Calamos ETF Trust is measured differently than its book value, which is the value of Calamos that is recorded on the company's balance sheet. Investors also form their own opinion of Calamos ETF's value that differs from its market value or its book value, called intrinsic value, which is Calamos ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Calamos ETF's market value can be influenced by many factors that don't directly affect Calamos ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Calamos ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Calamos ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Calamos ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.