Correlation Between Pekin Life and Getty Copper
Can any of the company-specific risk be diversified away by investing in both Pekin Life and Getty Copper 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 Pekin Life and Getty Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pekin Life Insurance and Getty Copper, you can compare the effects of market volatilities on Pekin Life and Getty Copper 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 Pekin Life with a short position of Getty Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pekin Life and Getty Copper.
Diversification Opportunities for Pekin Life and Getty Copper
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pekin and Getty is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Pekin Life Insurance and Getty Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Copper and Pekin Life 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 Pekin Life Insurance are associated (or correlated) with Getty Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Copper has no effect on the direction of Pekin Life i.e., Pekin Life and Getty Copper go up and down completely randomly.
Pair Corralation between Pekin Life and Getty Copper
Given the investment horizon of 90 days Pekin Life Insurance is expected to generate 0.04 times more return on investment than Getty Copper. However, Pekin Life Insurance is 22.71 times less risky than Getty Copper. It trades about 0.0 of its potential returns per unit of risk. Getty Copper is currently generating about -0.13 per unit of risk. If you would invest 1,175 in Pekin Life Insurance on December 28, 2024 and sell it today you would earn a total of 0.00 from holding Pekin Life Insurance or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Pekin Life Insurance vs. Getty Copper
Performance |
Timeline |
Pekin Life Insurance |
Getty Copper |
Pekin Life and Getty Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pekin Life and Getty Copper
The main advantage of trading using opposite Pekin Life and Getty Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pekin Life position performs unexpectedly, Getty Copper 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 Getty Copper will offset losses from the drop in Getty Copper's long position.Pekin Life vs. FG Annuities Life | Pekin Life vs. MetLife Preferred Stock | Pekin Life vs. Brighthouse Financial | Pekin Life vs. MetLife Preferred Stock |
Getty Copper vs. OM Holdings Limited | Getty Copper vs. Cobalt Blue Holdings | Getty Copper vs. Metals X Limited |
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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