Cosmos Health Stock Forecast - Simple Regression

COSM Stock  USD 0.53  0.04  8.16%   
The Simple Regression forecasted value of Cosmos Health on the next trading day is expected to be 0.55 with a mean absolute deviation of  0.06  and the sum of the absolute errors of 3.57. Cosmos Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Cosmos Health stock prices and determine the direction of Cosmos Health's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Cosmos Health's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Cosmos Health's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cosmos Health's systematic risk associated with finding meaningful patterns of Cosmos Health fundamentals over time.
Check out Historical Fundamental Analysis of Cosmos Health to cross-verify your projections.
To learn how to invest in Cosmos Stock, please use our How to Invest in Cosmos Health guide.
  
At this time, Cosmos Health's Payables Turnover is very stable compared to the past year. As of the 24th of April 2024, Asset Turnover is likely to grow to 1.60, while Inventory Turnover is likely to drop 8.85. . As of the 24th of April 2024, Common Stock Shares Outstanding is likely to grow to about 2.3 M, though Net Loss is likely to grow to (13.3 M).
Most investors in Cosmos Health cannot accurately predict what will happen the next trading day because, historically, stock 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 Cosmos Health's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Cosmos Health's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Cosmos Health price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Cosmos Health Simple Regression Price Forecast For the 25th of April

Given 90 days horizon, the Simple Regression forecasted value of Cosmos Health on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.57.
Please note that although there have been many attempts to predict Cosmos 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 Cosmos Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cosmos Health Stock Forecast Pattern

Backtest Cosmos HealthCosmos Health Price PredictionBuy or Sell Advice 

Cosmos Health Forecasted Value

In the context of forecasting Cosmos Health'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. Cosmos Health's downside and upside margins for the forecasting period are 0.01 and 5.49, respectively. We have considered Cosmos Health'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
0.53
0.55
Expected Value
5.49
Upside

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 Cosmos Health stock data series using in forecasting. Note that when a statistical model is used to represent Cosmos Health 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 Criteria112.8646
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0585
MAPEMean absolute percentage error0.0759
SAESum of the absolute errors3.5686
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Cosmos Health historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Cosmos Health

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cosmos Health. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cosmos Health'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.
Hype
Prediction
LowEstimatedHigh
0.030.535.47
Details
Intrinsic
Valuation
LowRealHigh
0.030.515.45
Details
1 Analysts
Consensus
LowTargetHigh
3.644.004.44
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Cosmos Health. Your research has to be compared to or analyzed against Cosmos Health's peers to derive any actionable benefits. When done correctly, Cosmos Health's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Cosmos Health.

Other Forecasting Options for Cosmos Health

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

Cosmos Health 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 Cosmos Health stock to make a market-neutral strategy. Peer analysis of Cosmos Health could also be used in its relative valuation, which is a method of valuing Cosmos Health by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Cosmos Health 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 Cosmos Health'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 Cosmos Health's current price.

Cosmos Health Market Strength Events

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

Cosmos Health Risk Indicators

The analysis of Cosmos Health'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 Cosmos Health's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cosmos 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.
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 Cosmos Health 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, Cosmos Health's short interest history, or implied volatility extrapolated from Cosmos Health options trading.

Pair Trading with Cosmos Health

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 Cosmos Health 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 Cosmos Health will appreciate offsetting losses from the drop in the long position's value.

Moving against Cosmos Stock

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The ability to find closely correlated positions to Cosmos Health could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cosmos Health 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 Cosmos Health - 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 Cosmos Health to buy it.
The correlation of Cosmos Health 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 Cosmos Health moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cosmos Health 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 Cosmos Health 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.
Pair CorrelationCorrelation Matching
When determining whether Cosmos Health is a strong investment it is important to analyze Cosmos Health's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Cosmos Health's future performance. For an informed investment choice regarding Cosmos Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Cosmos Health to cross-verify your projections.
To learn how to invest in Cosmos Stock, please use our How to Invest in Cosmos Health guide.
You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

Complementary Tools for Cosmos Stock analysis

When running Cosmos Health's price analysis, check to measure Cosmos Health'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 Cosmos Health is operating at the current time. Most of Cosmos Health's value examination focuses on studying past and present price action to predict the probability of Cosmos Health's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cosmos Health's price. Additionally, you may evaluate how the addition of Cosmos Health to your portfolios can decrease your overall portfolio volatility.
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Is Cosmos Health's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Cosmos Health. If investors know Cosmos will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Cosmos Health listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(4.23)
Revenue Per Share
5.072
Quarterly Revenue Growth
0.067
Return On Assets
(0.17)
Return On Equity
(0.63)
The market value of Cosmos Health is measured differently than its book value, which is the value of Cosmos that is recorded on the company's balance sheet. Investors also form their own opinion of Cosmos Health's value that differs from its market value or its book value, called intrinsic value, which is Cosmos Health'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 Cosmos Health's market value can be influenced by many factors that don't directly affect Cosmos Health'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 Cosmos Health's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cosmos Health is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cosmos Health'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.