Correlation Between Libra Insurance and IDI Insurance
Can any of the company-specific risk be diversified away by investing in both Libra Insurance and IDI 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 Libra Insurance and IDI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Libra Insurance and IDI Insurance, you can compare the effects of market volatilities on Libra Insurance and IDI 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 Libra Insurance with a short position of IDI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Libra Insurance and IDI Insurance.
Diversification Opportunities for Libra Insurance and IDI Insurance
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Libra and IDI is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Libra Insurance and IDI Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IDI Insurance 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 IDI Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IDI Insurance has no effect on the direction of Libra Insurance i.e., Libra Insurance and IDI Insurance go up and down completely randomly.
Pair Corralation between Libra Insurance and IDI Insurance
Assuming the 90 days trading horizon Libra Insurance is expected to generate 1.43 times more return on investment than IDI Insurance. However, Libra Insurance is 1.43 times more volatile than IDI Insurance. It trades about 0.41 of its potential returns per unit of risk. IDI Insurance is currently generating about 0.17 per unit of risk. If you would invest 57,999 in Libra Insurance on September 14, 2024 and sell it today you would earn a total of 42,401 from holding Libra Insurance or generate 73.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Libra Insurance vs. IDI Insurance
Performance |
Timeline |
Libra Insurance |
IDI Insurance |
Libra Insurance and IDI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Libra Insurance and IDI Insurance
The main advantage of trading using opposite Libra Insurance and IDI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Libra Insurance position performs unexpectedly, IDI 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 IDI Insurance will offset losses from the drop in IDI Insurance's long position.Libra Insurance vs. Suny Cellular Communication | Libra Insurance vs. Bio Meat Foodtech | Libra Insurance vs. Aura Investments | Libra Insurance vs. Victory Supermarket Chain |
IDI Insurance vs. Bank Hapoalim | IDI Insurance vs. Israel Discount Bank | IDI Insurance vs. Mizrahi Tefahot | IDI Insurance vs. Bezeq Israeli Telecommunication |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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