Correlation Between Sekar Bumi and Mandom Indonesia
Can any of the company-specific risk be diversified away by investing in both Sekar Bumi and Mandom Indonesia 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 Sekar Bumi and Mandom Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sekar Bumi Tbk and Mandom Indonesia Tbk, you can compare the effects of market volatilities on Sekar Bumi and Mandom Indonesia 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 Sekar Bumi with a short position of Mandom Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sekar Bumi and Mandom Indonesia.
Diversification Opportunities for Sekar Bumi and Mandom Indonesia
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sekar and Mandom is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Sekar Bumi Tbk and Mandom Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mandom Indonesia Tbk and Sekar Bumi 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 Sekar Bumi Tbk are associated (or correlated) with Mandom Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mandom Indonesia Tbk has no effect on the direction of Sekar Bumi i.e., Sekar Bumi and Mandom Indonesia go up and down completely randomly.
Pair Corralation between Sekar Bumi and Mandom Indonesia
Assuming the 90 days trading horizon Sekar Bumi Tbk is expected to generate 3.65 times more return on investment than Mandom Indonesia. However, Sekar Bumi is 3.65 times more volatile than Mandom Indonesia Tbk. It trades about 0.04 of its potential returns per unit of risk. Mandom Indonesia Tbk is currently generating about -0.12 per unit of risk. If you would invest 39,400 in Sekar Bumi Tbk on November 29, 2024 and sell it today you would lose (1,800) from holding Sekar Bumi Tbk or give up 4.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sekar Bumi Tbk vs. Mandom Indonesia Tbk
Performance |
Timeline |
Sekar Bumi Tbk |
Mandom Indonesia Tbk |
Sekar Bumi and Mandom Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sekar Bumi and Mandom Indonesia
The main advantage of trading using opposite Sekar Bumi and Mandom Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sekar Bumi position performs unexpectedly, Mandom Indonesia 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 Mandom Indonesia will offset losses from the drop in Mandom Indonesia's long position.Sekar Bumi vs. Sekar Laut Tbk | Sekar Bumi vs. Siantar Top Tbk | Sekar Bumi vs. Prasidha Aneka Niaga | Sekar Bumi vs. Mandom Indonesia Tbk |
Mandom Indonesia vs. Mustika Ratu Tbk | Mandom Indonesia vs. Siantar Top Tbk | Mandom Indonesia vs. Tempo Scan Pacific | Mandom Indonesia vs. Merck 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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