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 trading at 587.54 as of the 4th of January 2025, a No Change since the beginning of the trading day. The stock's open price was 587.54. 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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
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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.
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12/05/2024
No Change 0.00
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In 31 days
01/04/2025
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If you would invest 0.00 in Check Point on December 5, 2024 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 30 days.
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.
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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Check Point. Your research has to be compared to or analyzed against Check Point's peers to derive any actionable benefits. When done correctly, Check Point'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 Check Point Software.
Check Point Software Backtested Returns
Check Point appears to be very steady, given 3 months investment horizon. Check Point Software secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the company had a 0.21% return per unit of standard deviation over the last 3 months. We have found sixteen technical indicators for Check Point Software, which you can use to evaluate the volatility of the firm. Please makes use of Check Point's mean deviation of 0.8055, and Risk Adjusted Performance of 0.1636 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Check Point holds a performance score of 16. The firm shows a Beta (market volatility) of -0.0982, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Check Point are expected to decrease at a much lower rate. During the bear market, Check Point is likely to outperform the market. Please check Check Point's standard deviation, information ratio, and the relationship between the coefficient of variation and variance , to make a quick decision on whether Check Point's price patterns will revert.
Auto-correlation
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No correlation between past and present
Check Point Software has no correlation between past and present. Overlapping area represents the amount of predictability between Check Point time series from 5th of December 2024 to 20th of December 2024 and 20th of December 2024 to 4th of January 2025. 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 0.0 indicates that just 0.0% of current Check Point price fluctuation can be explain by its past prices.
Correlation Coefficient
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Spearman Rank Test
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Residual Average
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Price Variance
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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
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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
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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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