Correlation Between Libra Insurance and Polyram Plastic
Can any of the company-specific risk be diversified away by investing in both Libra Insurance and Polyram Plastic 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 Libra Insurance and Polyram Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Libra Insurance and Polyram Plastic Industries, you can compare the effects of market volatilities on Libra Insurance and Polyram Plastic 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 Libra Insurance with a short position of Polyram Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Libra Insurance and Polyram Plastic.
Diversification Opportunities for Libra Insurance and Polyram Plastic
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Libra and Polyram is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Libra Insurance and Polyram Plastic Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polyram Plastic Indu and Libra 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 Libra Insurance are associated (or correlated) with Polyram Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polyram Plastic Indu has no effect on the direction of Libra Insurance i.e., Libra Insurance and Polyram Plastic go up and down completely randomly.
Pair Corralation between Libra Insurance and Polyram Plastic
Assuming the 90 days trading horizon Libra Insurance is expected to generate 2.03 times more return on investment than Polyram Plastic. However, Libra Insurance is 2.03 times more volatile than Polyram Plastic Industries. It trades about 0.11 of its potential returns per unit of risk. Polyram Plastic Industries is currently generating about -0.1 per unit of risk. If you would invest 93,680 in Libra Insurance on December 2, 2024 and sell it today you would earn a total of 13,620 from holding Libra Insurance or generate 14.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Libra Insurance vs. Polyram Plastic Industries
Performance |
Timeline |
Libra Insurance |
Polyram Plastic Indu |
Libra Insurance and Polyram Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Libra Insurance and Polyram Plastic
The main advantage of trading using opposite Libra Insurance and Polyram Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Libra Insurance position performs unexpectedly, Polyram Plastic 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 Polyram Plastic will offset losses from the drop in Polyram Plastic's long position.Libra Insurance vs. Bezeq Israeli Telecommunication | Libra Insurance vs. Harel Insurance Investments | Libra Insurance vs. Hiron Trade Investments Industrial | Libra Insurance vs. Tower Semiconductor |
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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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