Correlation Between Sentra Food and Mulia Boga
Can any of the company-specific risk be diversified away by investing in both Sentra Food and Mulia Boga 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 Mulia Boga 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 Mulia Boga Raya, you can compare the effects of market volatilities on Sentra Food and Mulia Boga 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 Mulia Boga. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sentra Food and Mulia Boga.
Diversification Opportunities for Sentra Food and Mulia Boga
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sentra and Mulia is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Sentra Food Indonesia and Mulia Boga Raya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mulia Boga Raya 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 Mulia Boga. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mulia Boga Raya has no effect on the direction of Sentra Food i.e., Sentra Food and Mulia Boga go up and down completely randomly.
Pair Corralation between Sentra Food and Mulia Boga
Assuming the 90 days trading horizon Sentra Food Indonesia is expected to under-perform the Mulia Boga. But the stock apears to be less risky and, when comparing its historical volatility, Sentra Food Indonesia is 1.65 times less risky than Mulia Boga. The stock trades about 0.0 of its potential returns per unit of risk. The Mulia Boga Raya is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 125,000 in Mulia Boga Raya on September 1, 2024 and sell it today you would earn a total of 41,500 from holding Mulia Boga Raya or generate 33.2% 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. Mulia Boga Raya
Performance |
Timeline |
Sentra Food Indonesia |
Mulia Boga Raya |
Sentra Food and Mulia Boga Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sentra Food and Mulia Boga
The main advantage of trading using opposite Sentra Food and Mulia Boga positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sentra Food position performs unexpectedly, Mulia Boga 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 Mulia Boga will offset losses from the drop in Mulia Boga'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 |
Mulia Boga vs. Garudafood Putra Putri | Mulia Boga vs. Uni Charm Indonesia | Mulia Boga vs. Campina Ice Cream | Mulia Boga 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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