Correlation Between AMMB Holdings and Aeon Credit
Can any of the company-specific risk be diversified away by investing in both AMMB Holdings and Aeon Credit 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 AMMB Holdings and Aeon Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AMMB Holdings Bhd and Aeon Credit Service, you can compare the effects of market volatilities on AMMB Holdings and Aeon Credit 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 AMMB Holdings with a short position of Aeon Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of AMMB Holdings and Aeon Credit.
Diversification Opportunities for AMMB Holdings and Aeon Credit
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between AMMB and Aeon is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding AMMB Holdings Bhd and Aeon Credit Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aeon Credit Service and AMMB Holdings 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 AMMB Holdings Bhd are associated (or correlated) with Aeon Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aeon Credit Service has no effect on the direction of AMMB Holdings i.e., AMMB Holdings and Aeon Credit go up and down completely randomly.
Pair Corralation between AMMB Holdings and Aeon Credit
Assuming the 90 days trading horizon AMMB Holdings Bhd is expected to generate 1.73 times more return on investment than Aeon Credit. However, AMMB Holdings is 1.73 times more volatile than Aeon Credit Service. It trades about 0.16 of its potential returns per unit of risk. Aeon Credit Service is currently generating about -0.13 per unit of risk. If you would invest 515.00 in AMMB Holdings Bhd on August 28, 2024 and sell it today you would earn a total of 25.00 from holding AMMB Holdings Bhd or generate 4.85% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
AMMB Holdings Bhd vs. Aeon Credit Service
Performance |
| Timeline |
| AMMB Holdings Bhd |
| Aeon Credit Service |
AMMB Holdings and Aeon Credit Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AMMB Holdings and Aeon Credit
The main advantage of trading using opposite AMMB Holdings and Aeon Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AMMB Holdings position performs unexpectedly, Aeon Credit 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 Aeon Credit will offset losses from the drop in Aeon Credit's long position.| AMMB Holdings vs. Binasat Communications Bhd | AMMB Holdings vs. Star Media Group | AMMB Holdings vs. Kluang Rubber | AMMB Holdings vs. Lyc Healthcare Bhd |
| Aeon Credit vs. Digistar Bhd | Aeon Credit vs. Minetech Resources Bhd | Aeon Credit vs. OpenSys M Bhd | Aeon Credit vs. Insas Bhd |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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