Correlation Between TERADATA and Check Point
Can any of the company-specific risk be diversified away by investing in both TERADATA and Check Point at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining TERADATA and Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TERADATA and Check Point Software, you can compare the effects of market volatilities on TERADATA and Check Point and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in TERADATA with a short position of Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of TERADATA and Check Point.
Diversification Opportunities for TERADATA and Check Point
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between TERADATA and Check is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding TERADATA and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software and TERADATA is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on TERADATA are associated (or correlated) with Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of TERADATA i.e., TERADATA and Check Point go up and down completely randomly.
Pair Corralation between TERADATA and Check Point
Assuming the 90 days trading horizon TERADATA is expected to generate 0.59 times more return on investment than Check Point. However, TERADATA is 1.69 times less risky than Check Point. It trades about 0.16 of its potential returns per unit of risk. Check Point Software is currently generating about 0.03 per unit of risk. If you would invest 2,700 in TERADATA on October 4, 2024 and sell it today you would earn a total of 340.00 from holding TERADATA or generate 12.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TERADATA vs. Check Point Software
Performance |
Timeline |
TERADATA |
Check Point Software |
TERADATA and Check Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TERADATA and Check Point
The main advantage of trading using opposite TERADATA and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TERADATA position performs unexpectedly, Check Point 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 offset losses from the drop in Check Point's long position.The idea behind TERADATA and Check Point Software pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Check Point vs. Apple Inc | Check Point vs. Apple Inc | Check Point vs. Apple Inc | Check Point vs. Apple Inc |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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