Check Point Correlations
| CHKP Stock | USD 221.22 2.29 1.05% |
The current 90-days correlation between Check Point Software and Okta Inc is 0.52 (i.e., Very weak diversification). The correlation of Check Point 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Check Point Correlation With Market
Poor diversification
The correlation between Check Point Software and DJI is 0.62 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and DJI in the same portfolio, assuming nothing else is changed.
Moving together with Check Stock
| 0.66 | BB | BlackBerry Aggressive Push | PairCorr |
| 0.77 | JG | Aurora Mobile | PairCorr |
| 0.61 | VRAR | Glimpse Group | PairCorr |
| 0.72 | EVTC | Evertec | PairCorr |
| 0.71 | FIVN | Five9 Inc | PairCorr |
| 0.62 | DOX | Amdocs | PairCorr |
| 0.62 | MDB | MongoDB | PairCorr |
| 0.63 | XNET | Xunlei Ltd Adr | PairCorr |
Related Correlations Analysis
| Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
|
Risk-Adjusted Indicators
There is a big difference between Check Stock performing well and Check Point Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Check Point's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| RPD | 2.33 | (0.28) | 0.00 | (0.16) | 0.00 | 4.61 | 16.04 | |||
| TENB | 1.58 | (0.21) | 0.00 | (0.16) | 0.00 | 2.55 | 17.76 | |||
| OKTA | 2.18 | (0.16) | 0.00 | (0.08) | 0.00 | 4.24 | 27.47 | |||
| WIX | 2.25 | (0.24) | 0.00 | (0.13) | 0.00 | 4.01 | 26.45 | |||
| FLT | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| AKAM | 1.72 | (0.07) | 0.00 | (0.02) | 0.00 | 3.11 | 22.69 | |||
| VRSN | 1.15 | 0.25 | 0.13 | 0.49 | 1.40 | 2.66 | 11.65 | |||
| QLYS | 1.51 | 0.16 | 0.09 | 0.18 | 1.63 | 3.24 | 12.05 | |||
| SPSC | 1.85 | 0.08 | 0.04 | 0.10 | 2.08 | 4.91 | 17.44 | |||
| FFIV | 1.45 | 0.09 | 0.04 | 0.11 | 2.11 | 2.62 | 12.82 |
Check Point Corporate Management
| Sundar Balasubramanian | Managing Region | Profile | |
| Shashi Kiran | Chief Officer | Profile | |
| Peter Alexander | Chief Officer | Profile | |
| Tal Payne | Chief Officer | Profile | |
| Alex Spokoiny | Chief Officer | Profile | |
| Manish Alshi | Head India | Profile |