Correlation Between Bank Ganesha and Bank Amar
Can any of the company-specific risk be diversified away by investing in both Bank Ganesha and Bank Amar 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 Ganesha and Bank Amar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Ganesha Tbk and Bank Amar Indonesia, you can compare the effects of market volatilities on Bank Ganesha and Bank Amar 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 Ganesha with a short position of Bank Amar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Ganesha and Bank Amar.
Diversification Opportunities for Bank Ganesha and Bank Amar
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Bank is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Bank Ganesha Tbk and Bank Amar Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Amar Indonesia and Bank Ganesha 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 Ganesha Tbk are associated (or correlated) with Bank Amar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Amar Indonesia has no effect on the direction of Bank Ganesha i.e., Bank Ganesha and Bank Amar go up and down completely randomly.
Pair Corralation between Bank Ganesha and Bank Amar
Assuming the 90 days trading horizon Bank Ganesha Tbk is expected to generate 3.09 times more return on investment than Bank Amar. However, Bank Ganesha is 3.09 times more volatile than Bank Amar Indonesia. It trades about 0.1 of its potential returns per unit of risk. Bank Amar Indonesia is currently generating about -0.2 per unit of risk. If you would invest 6,700 in Bank Ganesha Tbk on September 3, 2024 and sell it today you would earn a total of 1,600 from holding Bank Ganesha Tbk or generate 23.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Ganesha Tbk vs. Bank Amar Indonesia
Performance |
Timeline |
Bank Ganesha Tbk |
Bank Amar Indonesia |
Bank Ganesha and Bank Amar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Ganesha and Bank Amar
The main advantage of trading using opposite Bank Ganesha and Bank Amar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Ganesha position performs unexpectedly, Bank Amar 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 Bank Amar will offset losses from the drop in Bank Amar's long position.Bank Ganesha vs. Bk Harda Internasional | Bank Ganesha vs. Bank Yudha Bhakti | Bank Ganesha vs. Bank Mnc Internasional | Bank Ganesha vs. Bank Capital Indonesia |
Bank Amar vs. Bank Yudha Bhakti | Bank Amar vs. Bk Harda Internasional | Bank Amar vs. Bank Ganesha Tbk | Bank Amar vs. Bank Capital Indonesia |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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