Correlation Between Bank Danamon and Singaraja Putra
Can any of the company-specific risk be diversified away by investing in both Bank Danamon and Singaraja Putra 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 Singaraja Putra 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 Singaraja Putra, you can compare the effects of market volatilities on Bank Danamon and Singaraja Putra 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 Singaraja Putra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Danamon and Singaraja Putra.
Diversification Opportunities for Bank Danamon and Singaraja Putra
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Singaraja is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Bank Danamon Indonesia and Singaraja Putra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singaraja Putra 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 Singaraja Putra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singaraja Putra has no effect on the direction of Bank Danamon i.e., Bank Danamon and Singaraja Putra go up and down completely randomly.
Pair Corralation between Bank Danamon and Singaraja Putra
Assuming the 90 days trading horizon Bank Danamon Indonesia is expected to under-perform the Singaraja Putra. But the stock apears to be less risky and, when comparing its historical volatility, Bank Danamon Indonesia is 5.16 times less risky than Singaraja Putra. The stock trades about 0.0 of its potential returns per unit of risk. The Singaraja Putra is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 86,500 in Singaraja Putra on September 3, 2024 and sell it today you would earn a total of 383,500 from holding Singaraja Putra or generate 443.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Bank Danamon Indonesia vs. Singaraja Putra
Performance |
Timeline |
Bank Danamon Indonesia |
Singaraja Putra |
Bank Danamon and Singaraja Putra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Danamon and Singaraja Putra
The main advantage of trading using opposite Bank Danamon and Singaraja Putra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Danamon position performs unexpectedly, Singaraja Putra 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 Singaraja Putra will offset losses from the drop in Singaraja Putra's long position.Bank Danamon vs. Paninvest Tbk | Bank Danamon vs. Mitra Pinasthika Mustika | Bank Danamon vs. Jakarta Int Hotels | Bank Danamon vs. Asuransi Harta Aman |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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