Correlation Between Putra Mandiri and Sentra Food
Can any of the company-specific risk be diversified away by investing in both Putra Mandiri and Sentra Food 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 Putra Mandiri and Sentra Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putra Mandiri Jembar and Sentra Food Indonesia, you can compare the effects of market volatilities on Putra Mandiri and Sentra Food 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 Putra Mandiri with a short position of Sentra Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putra Mandiri and Sentra Food.
Diversification Opportunities for Putra Mandiri and Sentra Food
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Putra and Sentra is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Putra Mandiri Jembar and Sentra Food Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sentra Food Indonesia and Putra Mandiri 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 Putra Mandiri Jembar are associated (or correlated) with Sentra Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sentra Food Indonesia has no effect on the direction of Putra Mandiri i.e., Putra Mandiri and Sentra Food go up and down completely randomly.
Pair Corralation between Putra Mandiri and Sentra Food
Assuming the 90 days trading horizon Putra Mandiri Jembar is expected to under-perform the Sentra Food. In addition to that, Putra Mandiri is 2.57 times more volatile than Sentra Food Indonesia. It trades about -0.07 of its total potential returns per unit of risk. Sentra Food Indonesia is currently generating about 0.0 per unit of volatility. If you would invest 11,700 in Sentra Food Indonesia on October 22, 2024 and sell it today you would earn a total of 0.00 from holding Sentra Food Indonesia or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Putra Mandiri Jembar vs. Sentra Food Indonesia
Performance |
Timeline |
Putra Mandiri Jembar |
Sentra Food Indonesia |
Putra Mandiri and Sentra Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putra Mandiri and Sentra Food
The main advantage of trading using opposite Putra Mandiri and Sentra Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putra Mandiri position performs unexpectedly, Sentra Food 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 Sentra Food will offset losses from the drop in Sentra Food's long position.Putra Mandiri vs. Uni Charm Indonesia | Putra Mandiri vs. MNC Studios International | Putra Mandiri vs. Kencana Energi Lestari | Putra Mandiri vs. Bintang Oto Global |
Sentra Food vs. Garudafood Putra Putri | Sentra Food vs. Estika Tata Tiara | Sentra Food vs. Campina Ice Cream | Sentra Food vs. PT Wahana Interfood |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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