Correlation Between Bank Mandiri and Dalrada Financial
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and Dalrada Financial 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 Dalrada Financial 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 Dalrada Financial Corp, you can compare the effects of market volatilities on Bank Mandiri and Dalrada Financial 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 Dalrada Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and Dalrada Financial.
Diversification Opportunities for Bank Mandiri and Dalrada Financial
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Dalrada is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and Dalrada Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dalrada Financial 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 Dalrada Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dalrada Financial Corp has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and Dalrada Financial go up and down completely randomly.
Pair Corralation between Bank Mandiri and Dalrada Financial
Assuming the 90 days horizon Bank Mandiri is expected to generate 4.99 times less return on investment than Dalrada Financial. But when comparing it to its historical volatility, Bank Mandiri Persero is 3.28 times less risky than Dalrada Financial. It trades about 0.02 of its potential returns per unit of risk. Dalrada Financial Corp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 8.50 in Dalrada Financial Corp on September 3, 2024 and sell it today you would lose (0.80) from holding Dalrada Financial Corp or give up 9.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mandiri Persero vs. Dalrada Financial Corp
Performance |
Timeline |
Bank Mandiri Persero |
Dalrada Financial Corp |
Bank Mandiri and Dalrada Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and Dalrada Financial
The main advantage of trading using opposite Bank Mandiri and Dalrada Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, Dalrada Financial 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 Dalrada Financial will offset losses from the drop in Dalrada Financial'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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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