Correlation Between Berlian Laju and Tunas Baru
Can any of the company-specific risk be diversified away by investing in both Berlian Laju and Tunas Baru 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 Berlian Laju and Tunas Baru into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berlian Laju Tanker and Tunas Baru Lampung, you can compare the effects of market volatilities on Berlian Laju and Tunas Baru 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 Berlian Laju with a short position of Tunas Baru. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berlian Laju and Tunas Baru.
Diversification Opportunities for Berlian Laju and Tunas Baru
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Berlian and Tunas is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Berlian Laju Tanker and Tunas Baru Lampung in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tunas Baru Lampung and Berlian Laju 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 Berlian Laju Tanker are associated (or correlated) with Tunas Baru. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tunas Baru Lampung has no effect on the direction of Berlian Laju i.e., Berlian Laju and Tunas Baru go up and down completely randomly.
Pair Corralation between Berlian Laju and Tunas Baru
Assuming the 90 days trading horizon Berlian Laju is expected to generate 47.88 times less return on investment than Tunas Baru. In addition to that, Berlian Laju is 3.43 times more volatile than Tunas Baru Lampung. It trades about 0.0 of its total potential returns per unit of risk. Tunas Baru Lampung is currently generating about 0.07 per unit of volatility. If you would invest 60,800 in Tunas Baru Lampung on September 14, 2024 and sell it today you would earn a total of 2,700 from holding Tunas Baru Lampung or generate 4.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Berlian Laju Tanker vs. Tunas Baru Lampung
Performance |
Timeline |
Berlian Laju Tanker |
Tunas Baru Lampung |
Berlian Laju and Tunas Baru Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berlian Laju and Tunas Baru
The main advantage of trading using opposite Berlian Laju and Tunas Baru positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berlian Laju position performs unexpectedly, Tunas Baru 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 Tunas Baru will offset losses from the drop in Tunas Baru's long position.Berlian Laju vs. Bakrie Brothers Tbk | Berlian Laju vs. Bakrie Sumatera Plantations | Berlian Laju vs. Bakrieland Development Tbk | Berlian Laju vs. Energi Mega Persada |
Tunas Baru vs. Bakrie Sumatera Plantations | Tunas Baru vs. Sampoerna Agro Tbk | Tunas Baru vs. Perusahaan Perkebunan London | Tunas Baru vs. Timah Persero 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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