Correlation Between Bank Yudha and Digital Mediatama
Can any of the company-specific risk be diversified away by investing in both Bank Yudha and Digital Mediatama 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 Yudha and Digital Mediatama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Yudha Bhakti and Digital Mediatama Maxima, you can compare the effects of market volatilities on Bank Yudha and Digital Mediatama 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 Yudha with a short position of Digital Mediatama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Yudha and Digital Mediatama.
Diversification Opportunities for Bank Yudha and Digital Mediatama
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Digital is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Bank Yudha Bhakti and Digital Mediatama Maxima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Mediatama Maxima and Bank Yudha 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 Yudha Bhakti are associated (or correlated) with Digital Mediatama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Mediatama Maxima has no effect on the direction of Bank Yudha i.e., Bank Yudha and Digital Mediatama go up and down completely randomly.
Pair Corralation between Bank Yudha and Digital Mediatama
Assuming the 90 days trading horizon Bank Yudha Bhakti is expected to under-perform the Digital Mediatama. But the stock apears to be less risky and, when comparing its historical volatility, Bank Yudha Bhakti is 1.38 times less risky than Digital Mediatama. The stock trades about -0.04 of its potential returns per unit of risk. The Digital Mediatama Maxima is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 12,600 in Digital Mediatama Maxima on September 3, 2024 and sell it today you would earn a total of 9,400 from holding Digital Mediatama Maxima or generate 74.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Yudha Bhakti vs. Digital Mediatama Maxima
Performance |
Timeline |
Bank Yudha Bhakti |
Digital Mediatama Maxima |
Bank Yudha and Digital Mediatama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Yudha and Digital Mediatama
The main advantage of trading using opposite Bank Yudha and Digital Mediatama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Yudha position performs unexpectedly, Digital Mediatama 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 Digital Mediatama will offset losses from the drop in Digital Mediatama's long position.Bank Yudha vs. Paninvest Tbk | Bank Yudha vs. Mitra Pinasthika Mustika | Bank Yudha vs. Jakarta Int Hotels | Bank Yudha vs. Asuransi Harta Aman |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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