Correlation Between Bank Danamon and Damai Sejahtera
Can any of the company-specific risk be diversified away by investing in both Bank Danamon and Damai Sejahtera 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 Danamon and Damai Sejahtera into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Danamon Indonesia and Damai Sejahtera Abadi, you can compare the effects of market volatilities on Bank Danamon and Damai Sejahtera 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 Danamon with a short position of Damai Sejahtera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Danamon and Damai Sejahtera.
Diversification Opportunities for Bank Danamon and Damai Sejahtera
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Damai is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bank Danamon Indonesia and Damai Sejahtera Abadi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Damai Sejahtera Abadi and Bank Danamon 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 Danamon Indonesia are associated (or correlated) with Damai Sejahtera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Damai Sejahtera Abadi has no effect on the direction of Bank Danamon i.e., Bank Danamon and Damai Sejahtera go up and down completely randomly.
Pair Corralation between Bank Danamon and Damai Sejahtera
Assuming the 90 days trading horizon Bank Danamon Indonesia is expected to generate 0.26 times more return on investment than Damai Sejahtera. However, Bank Danamon Indonesia is 3.92 times less risky than Damai Sejahtera. It trades about -0.05 of its potential returns per unit of risk. Damai Sejahtera Abadi is currently generating about -0.05 per unit of risk. If you would invest 251,000 in Bank Danamon Indonesia on December 27, 2024 and sell it today you would lose (8,000) from holding Bank Danamon Indonesia or give up 3.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Danamon Indonesia vs. Damai Sejahtera Abadi
Performance |
Timeline |
Bank Danamon Indonesia |
Damai Sejahtera Abadi |
Bank Danamon and Damai Sejahtera Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Danamon and Damai Sejahtera
The main advantage of trading using opposite Bank Danamon and Damai Sejahtera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Danamon position performs unexpectedly, Damai Sejahtera 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 Damai Sejahtera will offset losses from the drop in Damai Sejahtera's long position.Bank Danamon vs. Bank Cimb Niaga | Bank Danamon vs. Indosat Tbk | Bank Danamon vs. Astra Agro Lestari | Bank Danamon vs. Bank Mandiri Persero |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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