Check Stock Market Value

CHKP
 Stock
  

USD 121.13  0.57  0.47%   

Check Point's market value is the price at which a share of Check Point stock trades on a public exchange. It measures the collective expectations of Check Point Software investors about the entity's future performance. 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. Continue to Check Point Hype Analysis, Check Point Correlation, Check Point Valuation, Check Point Volatility, as well as analyze Check Point Alpha and Beta and Check Point Performance.
Symbol
Backtest


Is Check Point'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 Check Point. If investors know Check 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 Check Point 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 YOY
-0.023
Market Capitalization
15.9 B
Quarterly Revenue Growth YOY
0.069
Return On Assets
0.0977
Return On Equity
0.25
The market value of Check Point Software is measured differently than its book value, which is the value of Check that is recorded on the company's balance sheet. Investors also form their own opinion of Check Point's value that differs from its market value or its book value, called intrinsic value, which is Check Point'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 Check Point's market value can be influenced by many factors that don't directly affect Check Point'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 Check Point's value and its price as these two are different measures arrived at by different means. Investors typically determine Check Point value 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
03/31/2022
No Change 0.00  0.0 
In 3 months and 1 day
06/29/2022
0.00
If you would invest  0.00  in Check Point on March 31, 2022 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 90 days. Check Point is related to or competes with Verizon Communications, Intel Corp, Dupont Denemours, Walmart, Merck, McDonalds Corp, and Johnson Johnson. Check Point Software Technologies Ltd. develops, markets, and supports a range of products and services for IT security ...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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Check Point'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. Please use the tools below to analyze the current value of Check Point in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
119.49121.26123.03
Details
Intrinsic
Valuation
LowReal ValueHigh
109.25129.60131.37
Details
Naive
Forecast
LowNext ValueHigh
121.70123.47125.24
Details
16 Analysts
Consensus
LowTarget PriceHigh
110.00133.08150.00
Details
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 towards taking a position in Check Point Software.

Check Point Software Backtested Returns

Check Point Software secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had -0.11% of return per unit of standard deviation over the last 3 months. Macroaxis philosophy in foreseeing the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Check Point Software exposes twenty-eight different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Check Point Software mean deviation of 1.36, and Risk Adjusted Performance of (0.15) to double-check the risk estimate we provide.
The firm shows a Beta (market volatility) of 0.7395, which signifies possible diversification benefits within a given portfolio. Let's try to break down what Check's beta means in this case. As returns on the market increase, Check Point returns are expected to increase less than the market. However, during the bear market, the loss on holding Check Point will be expected to be smaller as well. Even though it is essential to pay attention to Check Point Software historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy in foreseeing any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Check Point Software exposes twenty-eight different technical indicators, which can help you to evaluate its performance. Check Point Software has an expected return of -0.19%. Please be advised to confirm Check Point Software maximum drawdown, and the relationship between the information ratio and expected short fall to decide if Check Point Software performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.61  

Good predictability

Check Point Software has good predictability. Overlapping area represents the amount of predictability between Check Point time series from 31st of March 2022 to 15th of May 2022 and 15th of May 2022 to 29th of June 2022. 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 0.61 indicates that roughly 61.0% of current Check Point price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.3
Residual Average0.0
Price Variance10.76

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 stock 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 stock movement to match the lagging time series.
 Current and Lagged Values 
Share
      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 
Share
      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 
Share
      Timeline 

Check Point Investors Sentiment

The influence of Check Point's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Check. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Check Point Implied Volatility

    
  31.28  
Check Point's implied volatility exposes the market's sentiment of Check Point Software stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Check Point's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Check Point stock will not fluctuate a lot when Check Point's options are near their expiration.
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 Check Point 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, Check Point's short interest history, or implied volatility extrapolated from Check Point options trading.

Current Sentiment - CHKP

Check Point Software Investor Sentiment

Most of Macroaxis users are currently bullish on Check Point Software. What is your opinion about investing in Check Point Software? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish

Pair Trading with Check Point

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

Check Point Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

The ability to find closely correlated positions to Check Point could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Check Point 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 Check Point - 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 Check Point Software to buy it.
The correlation of Check Point is a statistical measure of how it moves in relation to other equities. 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 Check Point moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Check Point Software 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 Check Point 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
Continue to Check Point Hype Analysis, Check Point Correlation, Check Point Valuation, Check Point Volatility, as well as analyze Check Point Alpha and Beta and Check Point Performance. Note that the Check Point Software information on this page should be used as a complementary analysis to other Check Point's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

Complementary Tools for Check Stock analysis

When running Check Point Software price analysis, check to measure Check Point'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 Check Point is operating at the current time. Most of Check Point's value examination focuses on studying past and present price action to predict the probability of Check Point's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Check Point's price. Additionally, you may evaluate how the addition of Check Point to your portfolios can decrease your overall portfolio volatility.
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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...