Correlation Between Bank Mandiri and GiveMePower Corp
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and GiveMePower Corp 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 GiveMePower Corp 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 GiveMePower Corp, you can compare the effects of market volatilities on Bank Mandiri and GiveMePower Corp 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 GiveMePower Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and GiveMePower Corp.
Diversification Opportunities for Bank Mandiri and GiveMePower Corp
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and GiveMePower is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and GiveMePower Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GiveMePower Corp 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 GiveMePower Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GiveMePower Corp has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and GiveMePower Corp go up and down completely randomly.
Pair Corralation between Bank Mandiri and GiveMePower Corp
Assuming the 90 days horizon Bank Mandiri is expected to generate 19.94 times less return on investment than GiveMePower Corp. But when comparing it to its historical volatility, Bank Mandiri Persero is 9.71 times less risky than GiveMePower Corp. It trades about 0.03 of its potential returns per unit of risk. GiveMePower Corp is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 4.96 in GiveMePower Corp on October 8, 2024 and sell it today you would lose (4.28) from holding GiveMePower Corp or give up 86.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mandiri Persero vs. GiveMePower Corp
Performance |
Timeline |
Bank Mandiri Persero |
GiveMePower Corp |
Bank Mandiri and GiveMePower Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and GiveMePower Corp
The main advantage of trading using opposite Bank Mandiri and GiveMePower Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, GiveMePower Corp 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 GiveMePower Corp will offset losses from the drop in GiveMePower Corp's long position.Bank Mandiri vs. Eurobank Ergasias Services | Bank Mandiri vs. Standard Bank Group | Bank Mandiri vs. Bank Central Asia | Bank Mandiri vs. PSB Holdings |
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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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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