Correlation Between PT Cilacap and Bangun Karya
Can any of the company-specific risk be diversified away by investing in both PT Cilacap and Bangun Karya 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 PT Cilacap and Bangun Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Cilacap Samudera and Bangun Karya Perkasa, you can compare the effects of market volatilities on PT Cilacap and Bangun Karya 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 PT Cilacap with a short position of Bangun Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Cilacap and Bangun Karya.
Diversification Opportunities for PT Cilacap and Bangun Karya
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ASHA and Bangun is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding PT Cilacap Samudera and Bangun Karya Perkasa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangun Karya Perkasa and PT Cilacap 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 PT Cilacap Samudera are associated (or correlated) with Bangun Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangun Karya Perkasa has no effect on the direction of PT Cilacap i.e., PT Cilacap and Bangun Karya go up and down completely randomly.
Pair Corralation between PT Cilacap and Bangun Karya
Assuming the 90 days trading horizon PT Cilacap Samudera is expected to under-perform the Bangun Karya. In addition to that, PT Cilacap is 2.8 times more volatile than Bangun Karya Perkasa. It trades about -0.05 of its total potential returns per unit of risk. Bangun Karya Perkasa is currently generating about -0.04 per unit of volatility. If you would invest 5,700 in Bangun Karya Perkasa on September 12, 2024 and sell it today you would lose (300.00) from holding Bangun Karya Perkasa or give up 5.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
PT Cilacap Samudera vs. Bangun Karya Perkasa
Performance |
Timeline |
PT Cilacap Samudera |
Bangun Karya Perkasa |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
PT Cilacap and Bangun Karya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Cilacap and Bangun Karya
The main advantage of trading using opposite PT Cilacap and Bangun Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Cilacap position performs unexpectedly, Bangun Karya 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 Bangun Karya will offset losses from the drop in Bangun Karya's long position.PT Cilacap vs. PT Dewi Shri | PT Cilacap vs. Adaro Minerals Indonesia | PT Cilacap vs. Autopedia Sukses Lestari | PT Cilacap vs. Wir Asia Tbk |
Bangun Karya vs. PT Hetzer Medical | Bangun Karya vs. PT Dewi Shri | Bangun Karya vs. PT Sari Kreasi | Bangun Karya vs. Gaya Abadi Sempurna |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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