Correlation Between Trans Power and Buana Listya
Can any of the company-specific risk be diversified away by investing in both Trans Power and Buana Listya 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 Trans Power and Buana Listya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Trans Power Marine and Buana Listya Tama, you can compare the effects of market volatilities on Trans Power and Buana Listya 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 Trans Power with a short position of Buana Listya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Trans Power and Buana Listya.
Diversification Opportunities for Trans Power and Buana Listya
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Trans and Buana is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Trans Power Marine and Buana Listya Tama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buana Listya Tama and Trans Power 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 Trans Power Marine are associated (or correlated) with Buana Listya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buana Listya Tama has no effect on the direction of Trans Power i.e., Trans Power and Buana Listya go up and down completely randomly.
Pair Corralation between Trans Power and Buana Listya
Assuming the 90 days trading horizon Trans Power Marine is expected to under-perform the Buana Listya. But the stock apears to be less risky and, when comparing its historical volatility, Trans Power Marine is 1.45 times less risky than Buana Listya. The stock trades about -0.06 of its potential returns per unit of risk. The Buana Listya Tama is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 12,000 in Buana Listya Tama on December 30, 2024 and sell it today you would lose (100.00) from holding Buana Listya Tama or give up 0.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Trans Power Marine vs. Buana Listya Tama
Performance |
Timeline |
Trans Power Marine |
Buana Listya Tama |
Trans Power and Buana Listya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Trans Power and Buana Listya
The main advantage of trading using opposite Trans Power and Buana Listya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Trans Power position performs unexpectedly, Buana Listya 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 Buana Listya will offset losses from the drop in Buana Listya's long position.Trans Power vs. Pelayaran Nelly Dwi | Trans Power vs. Wintermar Offshore Marine | Trans Power vs. Pelita Samudera Shipping | Trans Power vs. Samudera Indonesia Tbk |
Buana Listya vs. Trinitan Metals and | Buana Listya vs. Garuda Metalindo Tbk | Buana Listya vs. Grand Kartech Tbk | Buana Listya vs. Weha Transportasi 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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