Correlation Between PKSHA TECHNOLOGY and Reinsurance Group
Can any of the company-specific risk be diversified away by investing in both PKSHA TECHNOLOGY and Reinsurance Group 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 PKSHA TECHNOLOGY and Reinsurance Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PKSHA TECHNOLOGY INC and Reinsurance Group of, you can compare the effects of market volatilities on PKSHA TECHNOLOGY and Reinsurance Group 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 PKSHA TECHNOLOGY with a short position of Reinsurance Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of PKSHA TECHNOLOGY and Reinsurance Group.
Diversification Opportunities for PKSHA TECHNOLOGY and Reinsurance Group
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between PKSHA and Reinsurance is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding PKSHA TECHNOLOGY INC and Reinsurance Group of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reinsurance Group and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY INC are associated (or correlated) with Reinsurance Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reinsurance Group has no effect on the direction of PKSHA TECHNOLOGY i.e., PKSHA TECHNOLOGY and Reinsurance Group go up and down completely randomly.
Pair Corralation between PKSHA TECHNOLOGY and Reinsurance Group
Assuming the 90 days horizon PKSHA TECHNOLOGY INC is expected to generate 1.37 times more return on investment than Reinsurance Group. However, PKSHA TECHNOLOGY is 1.37 times more volatile than Reinsurance Group of. It trades about 0.03 of its potential returns per unit of risk. Reinsurance Group of is currently generating about 0.04 per unit of risk. If you would invest 2,200 in PKSHA TECHNOLOGY INC on October 1, 2024 and sell it today you would earn a total of 80.00 from holding PKSHA TECHNOLOGY INC or generate 3.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PKSHA TECHNOLOGY INC vs. Reinsurance Group of
Performance |
Timeline |
PKSHA TECHNOLOGY INC |
Reinsurance Group |
PKSHA TECHNOLOGY and Reinsurance Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PKSHA TECHNOLOGY and Reinsurance Group
The main advantage of trading using opposite PKSHA TECHNOLOGY and Reinsurance Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PKSHA TECHNOLOGY position performs unexpectedly, Reinsurance Group 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 Reinsurance Group will offset losses from the drop in Reinsurance Group's long position.PKSHA TECHNOLOGY vs. Air Transport Services | PKSHA TECHNOLOGY vs. SEI INVESTMENTS | PKSHA TECHNOLOGY vs. HK Electric Investments | PKSHA TECHNOLOGY vs. New Residential Investment |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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