Correlation Between Mitra Pinasthika and Bank Ina
Can any of the company-specific risk be diversified away by investing in both Mitra Pinasthika 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 Mitra Pinasthika and Bank Ina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitra Pinasthika Mustika and Bank Ina Perdana, you can compare the effects of market volatilities on Mitra Pinasthika 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 Mitra Pinasthika with a short position of Bank Ina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitra Pinasthika and Bank Ina.
Diversification Opportunities for Mitra Pinasthika and Bank Ina
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mitra and Bank is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Mitra Pinasthika Mustika 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 Mitra Pinasthika 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 Mitra Pinasthika Mustika 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 Mitra Pinasthika i.e., Mitra Pinasthika and Bank Ina go up and down completely randomly.
Pair Corralation between Mitra Pinasthika and Bank Ina
Assuming the 90 days trading horizon Mitra Pinasthika Mustika is expected to under-perform the Bank Ina. But the stock apears to be less risky and, when comparing its historical volatility, Mitra Pinasthika Mustika is 1.35 times less risky than Bank Ina. The stock trades about -0.15 of its potential returns per unit of risk. The Bank Ina Perdana is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 414,000 in Bank Ina Perdana on October 21, 2024 and sell it today you would lose (1,000.00) from holding Bank Ina Perdana or give up 0.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitra Pinasthika Mustika vs. Bank Ina Perdana
Performance |
Timeline |
Mitra Pinasthika Mustika |
Bank Ina Perdana |
Mitra Pinasthika and Bank Ina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitra Pinasthika and Bank Ina
The main advantage of trading using opposite Mitra Pinasthika and Bank Ina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitra Pinasthika 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.Mitra Pinasthika vs. Saratoga Investama Sedaya | Mitra Pinasthika vs. Puradelta Lestari PT | Mitra Pinasthika vs. Cikarang Listrindo Tbk | Mitra Pinasthika vs. Erajaya Swasembada Tbk |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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