Correlation Between Bank Mandiri and Kimberly-Clark
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and Kimberly-Clark 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 Bank Mandiri and Kimberly-Clark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mandiri Persero and Kimberly Clark de Mexico, you can compare the effects of market volatilities on Bank Mandiri and Kimberly-Clark 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 Bank Mandiri with a short position of Kimberly-Clark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and Kimberly-Clark.
Diversification Opportunities for Bank Mandiri and Kimberly-Clark
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Kimberly-Clark is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and Kimberly Clark de Mexico in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kimberly Clark de and Bank Mandiri 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 Bank Mandiri Persero are associated (or correlated) with Kimberly-Clark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kimberly Clark de has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and Kimberly-Clark go up and down completely randomly.
Pair Corralation between Bank Mandiri and Kimberly-Clark
Assuming the 90 days horizon Bank Mandiri Persero is expected to under-perform the Kimberly-Clark. In addition to that, Bank Mandiri is 3.67 times more volatile than Kimberly Clark de Mexico. It trades about -0.04 of its total potential returns per unit of risk. Kimberly Clark de Mexico is currently generating about 0.14 per unit of volatility. If you would invest 714.00 in Kimberly Clark de Mexico on December 23, 2024 and sell it today you would earn a total of 98.00 from holding Kimberly Clark de Mexico or generate 13.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mandiri Persero vs. Kimberly Clark de Mexico
Performance |
Timeline |
Bank Mandiri Persero |
Kimberly Clark de |
Bank Mandiri and Kimberly-Clark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and Kimberly-Clark
The main advantage of trading using opposite Bank Mandiri and Kimberly-Clark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, Kimberly-Clark 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 Kimberly-Clark will offset losses from the drop in Kimberly-Clark's long position.Bank Mandiri vs. PT Bank Rakyat | Bank Mandiri vs. Piraeus Bank SA | Bank Mandiri vs. Eurobank Ergasias Services | Bank Mandiri vs. Zions Bancorporation |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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