Correlation Between PT Cilacap and Bank Central
Can any of the company-specific risk be diversified away by investing in both PT Cilacap and Bank Central 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 Bank Central 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 Bank Central Asia, you can compare the effects of market volatilities on PT Cilacap and Bank Central 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 Bank Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Cilacap and Bank Central.
Diversification Opportunities for PT Cilacap and Bank Central
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between ASHA and Bank is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding PT Cilacap Samudera and Bank Central Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Central Asia 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 Bank Central. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Central Asia has no effect on the direction of PT Cilacap i.e., PT Cilacap and Bank Central go up and down completely randomly.
Pair Corralation between PT Cilacap and Bank Central
Assuming the 90 days trading horizon PT Cilacap Samudera is expected to under-perform the Bank Central. In addition to that, PT Cilacap is 3.4 times more volatile than Bank Central Asia. It trades about -0.09 of its total potential returns per unit of risk. Bank Central Asia is currently generating about 0.04 per unit of volatility. If you would invest 878,465 in Bank Central Asia on August 25, 2024 and sell it today you would earn a total of 106,535 from holding Bank Central Asia or generate 12.13% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
PT Cilacap Samudera vs. Bank Central Asia
Performance |
| Timeline |
| PT Cilacap Samudera |
| Bank Central Asia |
PT Cilacap and Bank Central Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Cilacap and Bank Central
The main advantage of trading using opposite PT Cilacap and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Cilacap position performs unexpectedly, Bank Central 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 Bank Central will offset losses from the drop in Bank Central's long position.| PT Cilacap vs. Bank Central Asia | PT Cilacap vs. Bank Rakyat Indonesia | PT Cilacap vs. Bayan Resources Tbk | PT Cilacap vs. Bank Mandiri Persero |
| Bank Central vs. Bank Rakyat Indonesia | Bank Central vs. Bank Mandiri Persero | Bank Central vs. Bank Negara Indonesia | Bank Central vs. Astra International 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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