Correlation Between Bank Ina and Sentra Food
Can any of the company-specific risk be diversified away by investing in both Bank Ina 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 Bank Ina and Sentra Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Ina Perdana and Sentra Food Indonesia, you can compare the effects of market volatilities on Bank Ina 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 Bank Ina with a short position of Sentra Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Ina and Sentra Food.
Diversification Opportunities for Bank Ina and Sentra Food
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Sentra is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Bank Ina Perdana 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 Bank Ina 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 Bank Ina Perdana 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 Bank Ina i.e., Bank Ina and Sentra Food go up and down completely randomly.
Pair Corralation between Bank Ina and Sentra Food
Assuming the 90 days trading horizon Bank Ina Perdana is expected to under-perform the Sentra Food. But the stock apears to be less risky and, when comparing its historical volatility, Bank Ina Perdana is 5.46 times less risky than Sentra Food. The stock trades about -0.01 of its potential returns per unit of risk. The Sentra Food Indonesia is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 12,200 in Sentra Food Indonesia on September 14, 2024 and sell it today you would lose (300.00) from holding Sentra Food Indonesia or give up 2.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Ina Perdana vs. Sentra Food Indonesia
Performance |
Timeline |
Bank Ina Perdana |
Sentra Food Indonesia |
Bank Ina and Sentra Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Ina and Sentra Food
The main advantage of trading using opposite Bank Ina and Sentra Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Ina 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.Bank Ina vs. Bk Harda Internasional | Bank Ina vs. Bank Yudha Bhakti | Bank Ina vs. Bank Sinarmas Tbk | Bank Ina vs. Bank Maspion Indonesia |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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