Correlation Between Asuransi Harta and Bank Windu
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Bank Windu 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 Harta and Bank Windu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asuransi Harta Aman and Bank Windu Kentjana, you can compare the effects of market volatilities on Asuransi Harta and Bank Windu 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 Harta with a short position of Bank Windu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Bank Windu.
Diversification Opportunities for Asuransi Harta and Bank Windu
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Asuransi and Bank is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Bank Windu Kentjana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Windu Kentjana and Asuransi Harta 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 Harta Aman are associated (or correlated) with Bank Windu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Windu Kentjana has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Bank Windu go up and down completely randomly.
Pair Corralation between Asuransi Harta and Bank Windu
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Bank Windu. In addition to that, Asuransi Harta is 1.23 times more volatile than Bank Windu Kentjana. It trades about -0.15 of its total potential returns per unit of risk. Bank Windu Kentjana is currently generating about -0.05 per unit of volatility. If you would invest 7,400 in Bank Windu Kentjana on December 30, 2024 and sell it today you would lose (600.00) from holding Bank Windu Kentjana or give up 8.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asuransi Harta Aman vs. Bank Windu Kentjana
Performance |
Timeline |
Asuransi Harta Aman |
Bank Windu Kentjana |
Asuransi Harta and Bank Windu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Bank Windu
The main advantage of trading using opposite Asuransi Harta and Bank Windu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Bank Windu 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 Windu will offset losses from the drop in Bank Windu's long position.Asuransi Harta vs. Asuransi Bintang Tbk | Asuransi Harta vs. Asuransi Bina Dana | Asuransi Harta vs. Asuransi Dayin Mitra | Asuransi Harta vs. Asuransi Jasa Tania |
Bank Windu vs. Bank Mayapada Internasional | Bank Windu vs. Bank Artha Graha | Bank Windu vs. Bank Pembangunan Daerah | Bank Windu vs. Bank Mega Tbk |
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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