Correlation Between CyberArk Software and Telkom Indonesia
Can any of the company-specific risk be diversified away by investing in both CyberArk Software and Telkom Indonesia 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 CyberArk Software and Telkom Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CyberArk Software and Telkom Indonesia Tbk, you can compare the effects of market volatilities on CyberArk Software and Telkom Indonesia 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 CyberArk Software with a short position of Telkom Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of CyberArk Software and Telkom Indonesia.
Diversification Opportunities for CyberArk Software and Telkom Indonesia
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CyberArk and Telkom is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding CyberArk Software and Telkom Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telkom Indonesia Tbk and CyberArk Software 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 CyberArk Software are associated (or correlated) with Telkom Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telkom Indonesia Tbk has no effect on the direction of CyberArk Software i.e., CyberArk Software and Telkom Indonesia go up and down completely randomly.
Pair Corralation between CyberArk Software and Telkom Indonesia
Assuming the 90 days trading horizon CyberArk Software is expected to generate 0.49 times more return on investment than Telkom Indonesia. However, CyberArk Software is 2.05 times less risky than Telkom Indonesia. It trades about 0.18 of its potential returns per unit of risk. Telkom Indonesia Tbk is currently generating about -0.14 per unit of risk. If you would invest 30,860 in CyberArk Software on October 12, 2024 and sell it today you would earn a total of 2,110 from holding CyberArk Software or generate 6.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CyberArk Software vs. Telkom Indonesia Tbk
Performance |
Timeline |
CyberArk Software |
Telkom Indonesia Tbk |
CyberArk Software and Telkom Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CyberArk Software and Telkom Indonesia
The main advantage of trading using opposite CyberArk Software and Telkom Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CyberArk Software position performs unexpectedly, Telkom Indonesia 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 Telkom Indonesia will offset losses from the drop in Telkom Indonesia's long position.CyberArk Software vs. Playtech plc | CyberArk Software vs. ARISTOCRAT LEISURE | CyberArk Software vs. Chesapeake Utilities | CyberArk Software vs. PLAYMATES TOYS |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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