Correlation Between Sentra Food and Pratama Abadi
Can any of the company-specific risk be diversified away by investing in both Sentra Food and Pratama Abadi 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 Sentra Food and Pratama Abadi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sentra Food Indonesia and Pratama Abadi Nusa, you can compare the effects of market volatilities on Sentra Food and Pratama Abadi 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 Sentra Food with a short position of Pratama Abadi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sentra Food and Pratama Abadi.
Diversification Opportunities for Sentra Food and Pratama Abadi
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sentra and Pratama is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Sentra Food Indonesia and Pratama Abadi Nusa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pratama Abadi Nusa and Sentra Food 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 Sentra Food Indonesia are associated (or correlated) with Pratama Abadi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pratama Abadi Nusa has no effect on the direction of Sentra Food i.e., Sentra Food and Pratama Abadi go up and down completely randomly.
Pair Corralation between Sentra Food and Pratama Abadi
Assuming the 90 days trading horizon Sentra Food Indonesia is expected to under-perform the Pratama Abadi. But the stock apears to be less risky and, when comparing its historical volatility, Sentra Food Indonesia is 3.28 times less risky than Pratama Abadi. The stock trades about -0.04 of its potential returns per unit of risk. The Pratama Abadi Nusa is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 967,500 in Pratama Abadi Nusa on September 14, 2024 and sell it today you would earn a total of 902,500 from holding Pratama Abadi Nusa or generate 93.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sentra Food Indonesia vs. Pratama Abadi Nusa
Performance |
Timeline |
Sentra Food Indonesia |
Pratama Abadi Nusa |
Sentra Food and Pratama Abadi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sentra Food and Pratama Abadi
The main advantage of trading using opposite Sentra Food and Pratama Abadi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sentra Food position performs unexpectedly, Pratama Abadi 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 Abadi will offset losses from the drop in Pratama Abadi's long position.Sentra Food vs. Garudafood Putra Putri | Sentra Food vs. Estika Tata Tiara | Sentra Food vs. Campina Ice Cream | Sentra Food vs. PT Wahana Interfood |
Pratama Abadi vs. Sentra Food Indonesia | Pratama Abadi vs. Garudafood Putra Putri | Pratama Abadi vs. Wijaya Karya Bangunan | Pratama Abadi 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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