Correlation Between LIFENET INSURANCE and PERENNIAL ENERGY
Can any of the company-specific risk be diversified away by investing in both LIFENET INSURANCE and PERENNIAL ENERGY 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 LIFENET INSURANCE and PERENNIAL ENERGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LIFENET INSURANCE CO and PERENNIAL ENERGY HD 01, you can compare the effects of market volatilities on LIFENET INSURANCE and PERENNIAL ENERGY 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 LIFENET INSURANCE with a short position of PERENNIAL ENERGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of LIFENET INSURANCE and PERENNIAL ENERGY.
Diversification Opportunities for LIFENET INSURANCE and PERENNIAL ENERGY
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between LIFENET and PERENNIAL is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding LIFENET INSURANCE CO and PERENNIAL ENERGY HD 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PERENNIAL ENERGY and LIFENET INSURANCE 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 LIFENET INSURANCE CO are associated (or correlated) with PERENNIAL ENERGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PERENNIAL ENERGY has no effect on the direction of LIFENET INSURANCE i.e., LIFENET INSURANCE and PERENNIAL ENERGY go up and down completely randomly.
Pair Corralation between LIFENET INSURANCE and PERENNIAL ENERGY
Assuming the 90 days horizon LIFENET INSURANCE CO is expected to generate 0.59 times more return on investment than PERENNIAL ENERGY. However, LIFENET INSURANCE CO is 1.7 times less risky than PERENNIAL ENERGY. It trades about 0.08 of its potential returns per unit of risk. PERENNIAL ENERGY HD 01 is currently generating about -0.02 per unit of risk. If you would invest 985.00 in LIFENET INSURANCE CO on September 25, 2024 and sell it today you would earn a total of 105.00 from holding LIFENET INSURANCE CO or generate 10.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LIFENET INSURANCE CO vs. PERENNIAL ENERGY HD 01
Performance |
Timeline |
LIFENET INSURANCE |
PERENNIAL ENERGY |
LIFENET INSURANCE and PERENNIAL ENERGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LIFENET INSURANCE and PERENNIAL ENERGY
The main advantage of trading using opposite LIFENET INSURANCE and PERENNIAL ENERGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LIFENET INSURANCE position performs unexpectedly, PERENNIAL ENERGY 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 PERENNIAL ENERGY will offset losses from the drop in PERENNIAL ENERGY's long position.LIFENET INSURANCE vs. Micron Technology | LIFENET INSURANCE vs. MACOM Technology Solutions | LIFENET INSURANCE vs. X FAB Silicon Foundries | LIFENET INSURANCE vs. FANDIFI TECHNOLOGY P |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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