Correlation Between Aneka Tambang and Mitrabara Adiperdana
Can any of the company-specific risk be diversified away by investing in both Aneka Tambang and Mitrabara Adiperdana 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 Aneka Tambang and Mitrabara Adiperdana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aneka Tambang Persero and Mitrabara Adiperdana PT, you can compare the effects of market volatilities on Aneka Tambang and Mitrabara Adiperdana 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 Aneka Tambang with a short position of Mitrabara Adiperdana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aneka Tambang and Mitrabara Adiperdana.
Diversification Opportunities for Aneka Tambang and Mitrabara Adiperdana
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aneka and Mitrabara is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Aneka Tambang Persero and Mitrabara Adiperdana PT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitrabara Adiperdana and Aneka Tambang 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 Aneka Tambang Persero are associated (or correlated) with Mitrabara Adiperdana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitrabara Adiperdana has no effect on the direction of Aneka Tambang i.e., Aneka Tambang and Mitrabara Adiperdana go up and down completely randomly.
Pair Corralation between Aneka Tambang and Mitrabara Adiperdana
Assuming the 90 days trading horizon Aneka Tambang Persero is expected to generate 1.09 times more return on investment than Mitrabara Adiperdana. However, Aneka Tambang is 1.09 times more volatile than Mitrabara Adiperdana PT. It trades about 0.07 of its potential returns per unit of risk. Mitrabara Adiperdana PT is currently generating about 0.0 per unit of risk. If you would invest 129,500 in Aneka Tambang Persero on September 30, 2024 and sell it today you would earn a total of 24,000 from holding Aneka Tambang Persero or generate 18.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aneka Tambang Persero vs. Mitrabara Adiperdana PT
Performance |
Timeline |
Aneka Tambang Persero |
Mitrabara Adiperdana |
Aneka Tambang and Mitrabara Adiperdana Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aneka Tambang and Mitrabara Adiperdana
The main advantage of trading using opposite Aneka Tambang and Mitrabara Adiperdana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aneka Tambang position performs unexpectedly, Mitrabara Adiperdana 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 Mitrabara Adiperdana will offset losses from the drop in Mitrabara Adiperdana's long position.Aneka Tambang vs. Asiaplast Industries Tbk | Aneka Tambang vs. Trias Sentosa Tbk | Aneka Tambang vs. Lotte Chemical Titan |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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