Correlation Between Asuransi Harta and Indah Kiat
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Indah Kiat 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 Indah Kiat 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 Indah Kiat Pulp, you can compare the effects of market volatilities on Asuransi Harta and Indah Kiat 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 Indah Kiat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Indah Kiat.
Diversification Opportunities for Asuransi Harta and Indah Kiat
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Asuransi and Indah is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Indah Kiat Pulp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indah Kiat Pulp 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 Indah Kiat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indah Kiat Pulp has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Indah Kiat go up and down completely randomly.
Pair Corralation between Asuransi Harta and Indah Kiat
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Indah Kiat. In addition to that, Asuransi Harta is 1.26 times more volatile than Indah Kiat Pulp. It trades about -0.19 of its total potential returns per unit of risk. Indah Kiat Pulp is currently generating about -0.14 per unit of volatility. If you would invest 830,000 in Indah Kiat Pulp on September 5, 2024 and sell it today you would lose (110,000) from holding Indah Kiat Pulp or give up 13.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Asuransi Harta Aman vs. Indah Kiat Pulp
Performance |
Timeline |
Asuransi Harta Aman |
Indah Kiat Pulp |
Asuransi Harta and Indah Kiat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Indah Kiat
The main advantage of trading using opposite Asuransi Harta and Indah Kiat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Indah Kiat 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 Indah Kiat will offset losses from the drop in Indah Kiat'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 |
Indah Kiat vs. Mitra Pinasthika Mustika | Indah Kiat vs. Jakarta Int Hotels | Indah Kiat vs. Asuransi Harta Aman | Indah Kiat vs. Indosterling Technomedia 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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