Correlation Between Kencana Energi and Pratama Widya
Can any of the company-specific risk be diversified away by investing in both Kencana Energi and Pratama Widya 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 Kencana Energi and Pratama Widya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kencana Energi Lestari and Pratama Widya Tbk, you can compare the effects of market volatilities on Kencana Energi and Pratama Widya 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 Kencana Energi with a short position of Pratama Widya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kencana Energi and Pratama Widya.
Diversification Opportunities for Kencana Energi and Pratama Widya
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kencana and Pratama is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Kencana Energi Lestari and Pratama Widya Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pratama Widya Tbk and Kencana Energi 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 Kencana Energi Lestari are associated (or correlated) with Pratama Widya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pratama Widya Tbk has no effect on the direction of Kencana Energi i.e., Kencana Energi and Pratama Widya go up and down completely randomly.
Pair Corralation between Kencana Energi and Pratama Widya
Assuming the 90 days trading horizon Kencana Energi Lestari is expected to under-perform the Pratama Widya. In addition to that, Kencana Energi is 1.54 times more volatile than Pratama Widya Tbk. It trades about -0.14 of its total potential returns per unit of risk. Pratama Widya Tbk is currently generating about -0.04 per unit of volatility. If you would invest 94,000 in Pratama Widya Tbk on September 2, 2024 and sell it today you would lose (1,500) from holding Pratama Widya Tbk or give up 1.6% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kencana Energi Lestari vs. Pratama Widya Tbk
Performance |
| Timeline |
| Kencana Energi Lestari |
| Pratama Widya Tbk |
Kencana Energi and Pratama Widya Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kencana Energi and Pratama Widya
The main advantage of trading using opposite Kencana Energi and Pratama Widya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kencana Energi position performs unexpectedly, Pratama Widya 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 Pratama Widya will offset losses from the drop in Pratama Widya's long position.| Kencana Energi vs. PT Indonesia Kendaraan | Kencana Energi vs. Cikarang Listrindo Tbk | Kencana Energi vs. Jasa Armada Indonesia | Kencana Energi vs. Pelita Samudera Shipping |
| Pratama Widya vs. PT Hetzer Medical | Pratama Widya vs. PT Dewi Shri | Pratama Widya vs. PT Sari Kreasi | Pratama Widya 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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