Correlation Between Perusahaan Perseroan and LIFENET INSURANCE
Can any of the company-specific risk be diversified away by investing in both Perusahaan Perseroan and LIFENET INSURANCE 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 Perusahaan Perseroan and LIFENET INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Perusahaan Perseroan PT and LIFENET INSURANCE CO, you can compare the effects of market volatilities on Perusahaan Perseroan and LIFENET INSURANCE 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 Perusahaan Perseroan with a short position of LIFENET INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Perusahaan Perseroan and LIFENET INSURANCE.
Diversification Opportunities for Perusahaan Perseroan and LIFENET INSURANCE
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Perusahaan and LIFENET is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Perusahaan Perseroan PT and LIFENET INSURANCE CO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LIFENET INSURANCE and Perusahaan Perseroan 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 Perusahaan Perseroan PT are associated (or correlated) with LIFENET INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LIFENET INSURANCE has no effect on the direction of Perusahaan Perseroan i.e., Perusahaan Perseroan and LIFENET INSURANCE go up and down completely randomly.
Pair Corralation between Perusahaan Perseroan and LIFENET INSURANCE
Assuming the 90 days horizon Perusahaan Perseroan PT is expected to under-perform the LIFENET INSURANCE. In addition to that, Perusahaan Perseroan is 1.21 times more volatile than LIFENET INSURANCE CO. It trades about -0.04 of its total potential returns per unit of risk. LIFENET INSURANCE CO is currently generating about 0.09 per unit of volatility. If you would invest 1,040 in LIFENET INSURANCE CO on August 31, 2024 and sell it today you would earn a total of 140.00 from holding LIFENET INSURANCE CO or generate 13.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Perusahaan Perseroan PT vs. LIFENET INSURANCE CO
Performance |
Timeline |
Perusahaan Perseroan |
LIFENET INSURANCE |
Perusahaan Perseroan and LIFENET INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Perusahaan Perseroan and LIFENET INSURANCE
The main advantage of trading using opposite Perusahaan Perseroan and LIFENET INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Perusahaan Perseroan position performs unexpectedly, LIFENET INSURANCE 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 LIFENET INSURANCE will offset losses from the drop in LIFENET INSURANCE's long position.Perusahaan Perseroan vs. China BlueChemical | Perusahaan Perseroan vs. CHEMICAL INDUSTRIES | Perusahaan Perseroan vs. Air Lease | Perusahaan Perseroan vs. SEKISUI CHEMICAL |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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