Correlation Between Asuransi Ramayana and Asuransi Bina
Can any of the company-specific risk be diversified away by investing in both Asuransi Ramayana and Asuransi Bina 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 Asuransi Ramayana and Asuransi Bina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asuransi Ramayana Tbk and Asuransi Bina Dana, you can compare the effects of market volatilities on Asuransi Ramayana and Asuransi Bina 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 Asuransi Ramayana with a short position of Asuransi Bina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Ramayana and Asuransi Bina.
Diversification Opportunities for Asuransi Ramayana and Asuransi Bina
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Asuransi and Asuransi is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Ramayana Tbk and Asuransi Bina Dana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asuransi Bina Dana and Asuransi Ramayana 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 Asuransi Ramayana Tbk are associated (or correlated) with Asuransi Bina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asuransi Bina Dana has no effect on the direction of Asuransi Ramayana i.e., Asuransi Ramayana and Asuransi Bina go up and down completely randomly.
Pair Corralation between Asuransi Ramayana and Asuransi Bina
Assuming the 90 days trading horizon Asuransi Ramayana Tbk is expected to generate 0.89 times more return on investment than Asuransi Bina. However, Asuransi Ramayana Tbk is 1.13 times less risky than Asuransi Bina. It trades about -0.09 of its potential returns per unit of risk. Asuransi Bina Dana is currently generating about -0.12 per unit of risk. If you would invest 38,000 in Asuransi Ramayana Tbk on September 3, 2024 and sell it today you would lose (2,400) from holding Asuransi Ramayana Tbk or give up 6.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Asuransi Ramayana Tbk vs. Asuransi Bina Dana
Performance |
Timeline |
Asuransi Ramayana Tbk |
Asuransi Bina Dana |
Asuransi Ramayana and Asuransi Bina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Ramayana and Asuransi Bina
The main advantage of trading using opposite Asuransi Ramayana and Asuransi Bina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Ramayana position performs unexpectedly, Asuransi Bina 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 Asuransi Bina will offset losses from the drop in Asuransi Bina's long position.Asuransi Ramayana vs. Paninvest Tbk | Asuransi Ramayana vs. Mitra Pinasthika Mustika | Asuransi Ramayana vs. Jakarta Int Hotels | Asuransi Ramayana vs. Asuransi Harta Aman |
Asuransi Bina vs. Paninvest Tbk | Asuransi Bina vs. Mitra Pinasthika Mustika | Asuransi Bina vs. Jakarta Int Hotels | Asuransi Bina vs. Asuransi Harta Aman |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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