Correlation Between Mitra Pinasthika and Trisula Textile
Can any of the company-specific risk be diversified away by investing in both Mitra Pinasthika and Trisula Textile 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 Mitra Pinasthika and Trisula Textile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitra Pinasthika Mustika and Trisula Textile Industries, you can compare the effects of market volatilities on Mitra Pinasthika and Trisula Textile 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 Mitra Pinasthika with a short position of Trisula Textile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitra Pinasthika and Trisula Textile.
Diversification Opportunities for Mitra Pinasthika and Trisula Textile
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitra and Trisula is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Mitra Pinasthika Mustika and Trisula Textile Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trisula Textile Indu and Mitra Pinasthika 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 Mitra Pinasthika Mustika are associated (or correlated) with Trisula Textile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trisula Textile Indu has no effect on the direction of Mitra Pinasthika i.e., Mitra Pinasthika and Trisula Textile go up and down completely randomly.
Pair Corralation between Mitra Pinasthika and Trisula Textile
Assuming the 90 days trading horizon Mitra Pinasthika Mustika is expected to generate 0.12 times more return on investment than Trisula Textile. However, Mitra Pinasthika Mustika is 8.52 times less risky than Trisula Textile. It trades about -0.13 of its potential returns per unit of risk. Trisula Textile Industries is currently generating about -0.06 per unit of risk. If you would invest 103,500 in Mitra Pinasthika Mustika on September 12, 2024 and sell it today you would lose (4,000) from holding Mitra Pinasthika Mustika or give up 3.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitra Pinasthika Mustika vs. Trisula Textile Industries
Performance |
Timeline |
Mitra Pinasthika Mustika |
Trisula Textile Indu |
Mitra Pinasthika and Trisula Textile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitra Pinasthika and Trisula Textile
The main advantage of trading using opposite Mitra Pinasthika and Trisula Textile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitra Pinasthika position performs unexpectedly, Trisula Textile 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 Trisula Textile will offset losses from the drop in Trisula Textile's long position.Mitra Pinasthika vs. Pembangunan Graha Lestari | Mitra Pinasthika vs. Pembangunan Jaya Ancol | Mitra Pinasthika vs. Hotel Sahid Jaya | Mitra Pinasthika vs. Mitrabara Adiperdana PT |
Trisula Textile vs. Pembangunan Graha Lestari | Trisula Textile vs. Pembangunan Jaya Ancol | Trisula Textile vs. Hotel Sahid Jaya | Trisula Textile vs. Mitrabara Adiperdana PT |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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