Check Point (Germany) Market Value
CPW Stock | EUR 174.30 2.05 1.19% |
Symbol | Check |
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.
12/09/2023 |
| 12/03/2024 |
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.
Downside Deviation | 2.85 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 16.36 | |||
Value At Risk | (1.77) | |||
Potential Upside | 2.42 |
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.Risk Adjusted Performance | 0.0175 | |||
Jensen Alpha | 0.0178 | |||
Total Risk Alpha | (0.30) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.7061 |
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 Coefficient | 0.44 | |
Spearman Rank Test | 0.18 | |
Residual Average | 0.0 | |
Price Variance | 154.67 |
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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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.