Correlation Between Asuransi Harta and Duta Pertiwi
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Duta Pertiwi 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 Duta Pertiwi 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 Duta Pertiwi Tbk, you can compare the effects of market volatilities on Asuransi Harta and Duta Pertiwi 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 Duta Pertiwi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Duta Pertiwi.
Diversification Opportunities for Asuransi Harta and Duta Pertiwi
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Asuransi and Duta is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Duta Pertiwi Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duta Pertiwi Tbk 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 Duta Pertiwi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duta Pertiwi Tbk has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Duta Pertiwi go up and down completely randomly.
Pair Corralation between Asuransi Harta and Duta Pertiwi
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Duta Pertiwi. In addition to that, Asuransi Harta is 1.46 times more volatile than Duta Pertiwi Tbk. It trades about -0.15 of its total potential returns per unit of risk. Duta Pertiwi Tbk is currently generating about -0.09 per unit of volatility. If you would invest 362,000 in Duta Pertiwi Tbk on December 30, 2024 and sell it today you would lose (37,000) from holding Duta Pertiwi Tbk or give up 10.22% 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. Duta Pertiwi Tbk
Performance |
Timeline |
Asuransi Harta Aman |
Duta Pertiwi Tbk |
Asuransi Harta and Duta Pertiwi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Duta Pertiwi
The main advantage of trading using opposite Asuransi Harta and Duta Pertiwi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Duta Pertiwi 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 Duta Pertiwi will offset losses from the drop in Duta Pertiwi'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 |
Duta Pertiwi vs. Duta Anggada Realty | Duta Pertiwi vs. Intiland Development Tbk | Duta Pertiwi vs. Bhuwanatala Indah Permai | Duta Pertiwi vs. Fortune Mate Indonesia |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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