Cumulus Media Stock Forecast - Triple Exponential Smoothing

CMLS Stock  USD 0.73  0.01  1.35%   
The Triple Exponential Smoothing forecasted value of Cumulus Media Class on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.54. Cumulus Stock Forecast is based on your current time horizon.
  
At this time, Cumulus Media's Receivables Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 3.24 in 2024, whereas Inventory Turnover is likely to drop 4.99 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 19.6 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 15.9 M in 2024.
Triple exponential smoothing for Cumulus Media - 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 Cumulus Media 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 Cumulus Media price movement. However, neither of these exponential smoothing models address any seasonality of Cumulus Media Class.

Cumulus Media Triple Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Cumulus Media Class on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.54.
Please note that although there have been many attempts to predict Cumulus 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 Cumulus Media's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cumulus Media Stock Forecast Pattern

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Cumulus Media Forecasted Value

In the context of forecasting Cumulus Media'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. Cumulus Media's downside and upside margins for the forecasting period are 0.01 and 5.08, respectively. We have considered Cumulus Media'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
0.73
0.72
Expected Value
5.08
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 Cumulus Media stock data series using in forecasting. Note that when a statistical model is used to represent Cumulus Media 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 -0.0082
MADMean absolute deviation0.043
MAPEMean absolute percentage error0.0373
SAESum of the absolute errors2.5366
As with simple exponential smoothing, in triple exponential smoothing models past Cumulus Media 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 Cumulus Media Class observations.

Predictive Modules for Cumulus Media

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cumulus Media Class. 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
0.030.695.08
Details
Intrinsic
Valuation
LowRealHigh
0.142.717.10
Details
2 Analysts
Consensus
LowTargetHigh
7.898.679.62
Details

Other Forecasting Options for Cumulus Media

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

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 Risk & Return  Correlation

Cumulus Media Class 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 Cumulus Media'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 Cumulus Media's current price.

Cumulus Media Market Strength Events

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

Cumulus Media Risk Indicators

The analysis of Cumulus Media'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 Cumulus Media's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cumulus 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.

Thematic Opportunities

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Additional Tools for Cumulus Stock Analysis

When running Cumulus Media's price analysis, check to measure Cumulus Media'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 Cumulus Media is operating at the current time. Most of Cumulus Media's value examination focuses on studying past and present price action to predict the probability of Cumulus Media's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cumulus Media's price. Additionally, you may evaluate how the addition of Cumulus Media to your portfolios can decrease your overall portfolio volatility.