Correlation Between Unilever Indonesia and Bisi International
Can any of the company-specific risk be diversified away by investing in both Unilever Indonesia and Bisi International 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 Unilever Indonesia and Bisi International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Unilever Indonesia Tbk and Bisi International Tbk, you can compare the effects of market volatilities on Unilever Indonesia and Bisi International 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 Unilever Indonesia with a short position of Bisi International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Unilever Indonesia and Bisi International.
Diversification Opportunities for Unilever Indonesia and Bisi International
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Unilever and Bisi is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Unilever Indonesia Tbk and Bisi International Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bisi International Tbk and Unilever Indonesia 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 Unilever Indonesia Tbk are associated (or correlated) with Bisi International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bisi International Tbk has no effect on the direction of Unilever Indonesia i.e., Unilever Indonesia and Bisi International go up and down completely randomly.
Pair Corralation between Unilever Indonesia and Bisi International
Assuming the 90 days trading horizon Unilever Indonesia Tbk is expected to under-perform the Bisi International. In addition to that, Unilever Indonesia is 1.37 times more volatile than Bisi International Tbk. It trades about -0.15 of its total potential returns per unit of risk. Bisi International Tbk is currently generating about -0.05 per unit of volatility. If you would invest 120,000 in Bisi International Tbk on December 30, 2024 and sell it today you would lose (13,000) from holding Bisi International Tbk or give up 10.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Unilever Indonesia Tbk vs. Bisi International Tbk
Performance |
Timeline |
Unilever Indonesia Tbk |
Bisi International Tbk |
Unilever Indonesia and Bisi International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Unilever Indonesia and Bisi International
The main advantage of trading using opposite Unilever Indonesia and Bisi International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Unilever Indonesia position performs unexpectedly, Bisi International 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 Bisi International will offset losses from the drop in Bisi International's long position.Unilever Indonesia vs. PT Indofood Sukses | Unilever Indonesia vs. Astra International Tbk | Unilever Indonesia vs. Telkom Indonesia Tbk | Unilever Indonesia vs. Bank Central Asia |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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