Check Point (Germany) Market Value

CPW Stock  EUR 174.30  2.05  1.19%   
Check Point's market value is the price at which a share of Check Point trades on a public exchange. It measures the collective expectations of Check Point Software investors about its performance. Check Point is selling at 174.30 as of the 3rd of December 2024; that is 1.19 percent increase since the beginning of the trading day. The stock's lowest day price was 171.65.
With this module, you can estimate the performance of a buy and hold strategy of Check Point Software and determine expected loss or profit from investing in Check Point over a given investment horizon. Check out Check Point Correlation, Check Point Volatility and Check Point Alpha and Beta module to complement your research on Check Point.
Symbol

Please note, there is a significant difference between Check Point's value and its price as these two are different measures arrived at by different means. Investors typically determine if Check Point is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Check Point'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.

Check Point 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Check Point's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Check Point.
0.00
12/09/2023
No Change 0.00  0.0 
In 11 months and 27 days
12/03/2024
0.00
If you would invest  0.00  in Check Point on December 9, 2023 and sell it all today you would earn a total of 0.00 from holding Check Point Software or generate 0.0% return on investment in Check Point over 360 days. Check Point is related to or competes with TOTAL GABON, and Walgreens Boots. More

Check Point Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Check Point's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Check Point Software upside and downside potential and time the market with a certain degree of confidence.

Check Point Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Check Point's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Check Point's standard deviation. In reality, there are many statistical measures that can use Check Point historical prices to predict the future Check Point's volatility.
Hype
Prediction
LowEstimatedHigh
172.14174.30176.46
Details
Intrinsic
Valuation
LowRealHigh
144.26146.42191.73
Details
Naive
Forecast
LowNextHigh
174.95177.11179.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
162.57170.96179.35
Details

Check Point Software Backtested Returns

As of now, Check Stock is very steady. Check Point Software secures Sharpe Ratio (or Efficiency) of 0.0324, which signifies that the company had a 0.0324% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Check Point Software, which you can use to evaluate the volatility of the firm. Please confirm Check Point's risk adjusted performance of 0.0175, and Mean Deviation of 1.23 to double-check if the risk estimate we provide is consistent with the expected return of 0.07%. Check Point has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.03, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Check Point's returns are expected to increase less than the market. However, during the bear market, the loss of holding Check Point is expected to be smaller as well. Check Point Software right now shows a risk of 2.16%. Please confirm Check Point Software jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if Check Point Software will be following its price patterns.

Auto-correlation

    
  0.44  

Average predictability

Check Point Software has average predictability. Overlapping area represents the amount of predictability between Check Point time series from 9th of December 2023 to 6th of June 2024 and 6th of June 2024 to 3rd of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Check Point Software price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Check Point price fluctuation can be explain by its past prices.
Correlation Coefficient0.44
Spearman Rank Test0.18
Residual Average0.0
Price Variance154.67

Check Point Software lagged returns against current returns

Autocorrelation, which is Check Point stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Check Point's stock expected returns. We can calculate the autocorrelation of Check Point returns to help us make a trade decision. For example, suppose you find that Check Point has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Check Point regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Check Point stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Check Point stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Check Point stock over time.
   Current vs Lagged Prices   
       Timeline  

Check Point Lagged Returns

When evaluating Check Point's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Check Point stock have on its future price. Check Point autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Check Point autocorrelation shows the relationship between Check Point stock current value and its past values and can show if there is a momentum factor associated with investing in Check Point Software.
   Regressed Prices   
       Timeline  

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Additional Information and Resources on Investing in Check Stock

When determining whether Check Point Software is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Check Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Check Point Software Stock. Highlighted below are key reports to facilitate an investment decision about Check Point Software Stock:
Check out Check Point Correlation, Check Point Volatility and Check Point Alpha and Beta module to complement your research on Check Point.
You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Check Point technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Check Point technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Check Point trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...