Calamos LongShort Stock Forecast - Triple Exponential Smoothing

CPZ Stock  USD 15.54  0.04  0.26%   
The Triple Exponential Smoothing forecasted value of Calamos LongShort Equity on the next trading day is expected to be 15.58 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.23. Calamos Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to drop to 0.64 in 2024. Asset Turnover is likely to drop to 0.01 in 2024. Common Stock Shares Outstanding is likely to drop to about 21.6 M in 2024. Net Loss is likely to drop to about (28.3 M) in 2024.
Triple exponential smoothing for Calamos LongShort - 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 Calamos LongShort 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 Calamos LongShort price movement. However, neither of these exponential smoothing models address any seasonality of Calamos LongShort Equity.

Calamos LongShort Triple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Calamos LongShort Equity on the next trading day is expected to be 15.58 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.23.
Please note that although there have been many attempts to predict Calamos Stock 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 LongShort's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Calamos LongShort Stock Forecast Pattern

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Calamos LongShort Forecasted Value

In the context of forecasting Calamos LongShort's Stock 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 LongShort's downside and upside margins for the forecasting period are 14.95 and 16.21, respectively. We have considered Calamos LongShort'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
15.54
15.58
Expected Value
16.21
Upside

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 Calamos LongShort stock data series using in forecasting. Note that when a statistical model is used to represent Calamos LongShort stock, 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0151
MADMean absolute deviation0.0886
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors5.2271
As with simple exponential smoothing, in triple exponential smoothing models past Calamos LongShort observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Calamos LongShort Equity observations.

Predictive Modules for Calamos LongShort

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 LongShort Equity. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
14.9115.5416.17
Details
Intrinsic
Valuation
LowRealHigh
14.7915.4216.05
Details

Other Forecasting Options for Calamos LongShort

For every potential investor in Calamos, whether a beginner or expert, Calamos LongShort's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Calamos Stock 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 LongShort's price trends.

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 Risk & Return  Correlation

Calamos LongShort Equity Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Calamos LongShort'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 LongShort's current price.

Calamos LongShort Market Strength Events

Market strength indicators help investors to evaluate how Calamos LongShort stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Calamos LongShort shares will generate the highest return on investment. By undertsting and applying Calamos LongShort stock market strength indicators, traders can identify Calamos LongShort Equity entry and exit signals to maximize returns.

Calamos LongShort Risk Indicators

The analysis of Calamos LongShort'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 LongShort's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calamos stock 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.

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Additional Tools for Calamos Stock Analysis

When running Calamos LongShort's price analysis, check to measure Calamos LongShort's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Calamos LongShort is operating at the current time. Most of Calamos LongShort's value examination focuses on studying past and present price action to predict the probability of Calamos LongShort's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Calamos LongShort's price. Additionally, you may evaluate how the addition of Calamos LongShort to your portfolios can decrease your overall portfolio volatility.