Correlation Between Kabelindo Murni and Bank Ina
Can any of the company-specific risk be diversified away by investing in both Kabelindo Murni and Bank Ina 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 Kabelindo Murni and Bank Ina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kabelindo Murni Tbk and Bank Ina Perdana, you can compare the effects of market volatilities on Kabelindo Murni and Bank Ina 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 Kabelindo Murni with a short position of Bank Ina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kabelindo Murni and Bank Ina.
Diversification Opportunities for Kabelindo Murni and Bank Ina
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kabelindo and Bank is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kabelindo Murni Tbk and Bank Ina Perdana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Ina Perdana and Kabelindo Murni 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 Kabelindo Murni Tbk are associated (or correlated) with Bank Ina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Ina Perdana has no effect on the direction of Kabelindo Murni i.e., Kabelindo Murni and Bank Ina go up and down completely randomly.
Pair Corralation between Kabelindo Murni and Bank Ina
Assuming the 90 days trading horizon Kabelindo Murni Tbk is expected to under-perform the Bank Ina. In addition to that, Kabelindo Murni is 2.07 times more volatile than Bank Ina Perdana. It trades about -0.01 of its total potential returns per unit of risk. Bank Ina Perdana is currently generating about 0.07 per unit of volatility. If you would invest 419,000 in Bank Ina Perdana on December 30, 2024 and sell it today you would earn a total of 16,000 from holding Bank Ina Perdana or generate 3.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kabelindo Murni Tbk vs. Bank Ina Perdana
Performance |
Timeline |
Kabelindo Murni Tbk |
Bank Ina Perdana |
Kabelindo Murni and Bank Ina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kabelindo Murni and Bank Ina
The main advantage of trading using opposite Kabelindo Murni and Bank Ina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kabelindo Murni position performs unexpectedly, Bank Ina 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 Bank Ina will offset losses from the drop in Bank Ina's long position.Kabelindo Murni vs. Kmi Wire And | Kabelindo Murni vs. Jembo Cable | Kabelindo Murni vs. Sumi Indo Kabel | Kabelindo Murni vs. Voksel Electric Tbk |
Bank Ina vs. Bk Harda Internasional | Bank Ina vs. Bank Yudha Bhakti | Bank Ina vs. Bank Sinarmas Tbk | Bank Ina vs. Bank Maspion Indonesia |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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