Cohen Stock Forecast - Naive Prediction

COHN Stock  USD 10.15  0.26  2.63%   
The Naive Prediction forecasted value of Cohen Company on the next trading day is expected to be 9.80 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.24. Cohen Stock Forecast is based on your current time horizon. Although Cohen's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cohen's systematic risk associated with finding meaningful patterns of Cohen fundamentals over time.
  
At this time, Cohen's Payables Turnover is very stable compared to the past year. As of the 27th of November 2024, Asset Turnover is likely to grow to 0.13, while Inventory Turnover is likely to drop (7.51). . As of the 27th of November 2024, Common Stock Shares Outstanding is likely to grow to about 1.8 M, though Net Loss is likely to grow to (11.4 M).

Cohen Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Cohen's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2004-03-31
Previous Quarter
9.6 M
Current Value
14.3 M
Quarterly Volatility
39.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Cohen is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Cohen Company value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Cohen Naive Prediction Price Forecast For the 28th of November

Given 90 days horizon, the Naive Prediction forecasted value of Cohen Company on the next trading day is expected to be 9.80 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 14.24.
Please note that although there have been many attempts to predict Cohen 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 Cohen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cohen Stock Forecast Pattern

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Cohen Forecasted Value

In the context of forecasting Cohen'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. Cohen's downside and upside margins for the forecasting period are 6.70 and 12.90, respectively. We have considered Cohen'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
10.15
9.80
Expected Value
12.90
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Cohen stock data series using in forecasting. Note that when a statistical model is used to represent Cohen 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 Criteria115.6893
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2335
MAPEMean absolute percentage error0.0263
SAESum of the absolute errors14.2448
This model is not at all useful as a medium-long range forecasting tool of Cohen Company. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Cohen. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Cohen

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cohen Company. 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
7.0510.1513.25
Details
Intrinsic
Valuation
LowRealHigh
6.599.6912.79
Details
Bollinger
Band Projection (param)
LowMiddleHigh
7.959.4310.91
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Cohen. Your research has to be compared to or analyzed against Cohen's peers to derive any actionable benefits. When done correctly, Cohen'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 Cohen Company.

Other Forecasting Options for Cohen

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

View Cohen Related Equities

 Risk & Return  Correlation

Cohen Company 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 Cohen'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 Cohen's current price.

Cohen Market Strength Events

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

Cohen Risk Indicators

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

Pair Trading with Cohen

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

Moving together with Cohen Stock

  0.88V Visa Class APairCorr
  0.72DHIL Diamond Hill InvestmentPairCorr
  0.83DIST Distoken AcquisitionPairCorr

Moving against Cohen Stock

  0.42PT Pintec TechnologyPairCorr
  0.35LU Lufax HoldingPairCorr
The ability to find closely correlated positions to Cohen could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cohen 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 Cohen - 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 Cohen Company to buy it.
The correlation of Cohen 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 Cohen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cohen Company 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 Cohen 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 Cohen Company offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Cohen's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Cohen Company Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Cohen Company Stock:
Check out Historical Fundamental Analysis of Cohen to cross-verify your projections.
You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Is Diversified Capital Markets space 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 Cohen. If investors know Cohen 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 Cohen listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.72)
Dividend Share
1
Earnings Share
4.14
Revenue Per Share
56.408
Quarterly Revenue Growth
0.972
The market value of Cohen Company is measured differently than its book value, which is the value of Cohen that is recorded on the company's balance sheet. Investors also form their own opinion of Cohen's value that differs from its market value or its book value, called intrinsic value, which is Cohen'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 Cohen's market value can be influenced by many factors that don't directly affect Cohen'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 Cohen's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cohen is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cohen'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.