Correlation Between Ashmore Asset and Bank Amar
Can any of the company-specific risk be diversified away by investing in both Ashmore Asset 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 Ashmore Asset and Bank Amar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ashmore Asset Management and Bank Amar Indonesia, you can compare the effects of market volatilities on Ashmore Asset 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 Ashmore Asset with a short position of Bank Amar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Asset and Bank Amar.
Diversification Opportunities for Ashmore Asset and Bank Amar
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ashmore and Bank is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Asset Management 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 Ashmore Asset 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 Ashmore Asset Management 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 Ashmore Asset i.e., Ashmore Asset and Bank Amar go up and down completely randomly.
Pair Corralation between Ashmore Asset and Bank Amar
Assuming the 90 days trading horizon Ashmore Asset Management is expected to under-perform the Bank Amar. In addition to that, Ashmore Asset is 1.29 times more volatile than Bank Amar Indonesia. It trades about -0.32 of its total potential returns per unit of risk. Bank Amar Indonesia is currently generating about -0.24 per unit of volatility. If you would invest 21,200 in Bank Amar Indonesia on September 6, 2024 and sell it today you would lose (1,900) from holding Bank Amar Indonesia or give up 8.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ashmore Asset Management vs. Bank Amar Indonesia
Performance |
Timeline |
Ashmore Asset Management |
Bank Amar Indonesia |
Ashmore Asset and Bank Amar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ashmore Asset and Bank Amar
The main advantage of trading using opposite Ashmore Asset and Bank Amar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Asset 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.Ashmore Asset vs. Bank Amar Indonesia | Ashmore Asset vs. Bhakti Multi Artha | Ashmore Asset vs. Mahaka Radio Integra | Ashmore Asset vs. Ateliers Mecaniques DIndonesie |
Bank Amar vs. Bank Artos Indonesia | Bank Amar vs. Bank Yudha Bhakti | Bank Amar vs. Bk Harda Internasional | Bank Amar vs. Bank Rakyat 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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