Correlation Between Ashmore Asset and Metrodata Electronics
Can any of the company-specific risk be diversified away by investing in both Ashmore Asset and Metrodata Electronics 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 Metrodata Electronics 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 Metrodata Electronics Tbk, you can compare the effects of market volatilities on Ashmore Asset and Metrodata Electronics 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 Metrodata Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Asset and Metrodata Electronics.
Diversification Opportunities for Ashmore Asset and Metrodata Electronics
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ashmore and Metrodata is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Asset Management and Metrodata Electronics Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metrodata Electronics Tbk 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 Metrodata Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metrodata Electronics Tbk has no effect on the direction of Ashmore Asset i.e., Ashmore Asset and Metrodata Electronics go up and down completely randomly.
Pair Corralation between Ashmore Asset and Metrodata Electronics
Assuming the 90 days trading horizon Ashmore Asset Management is expected to under-perform the Metrodata Electronics. In addition to that, Ashmore Asset is 2.51 times more volatile than Metrodata Electronics Tbk. It trades about -0.05 of its total potential returns per unit of risk. Metrodata Electronics Tbk is currently generating about 0.03 per unit of volatility. If you would invest 61,500 in Metrodata Electronics Tbk on September 15, 2024 and sell it today you would earn a total of 1,000.00 from holding Metrodata Electronics Tbk or generate 1.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ashmore Asset Management vs. Metrodata Electronics Tbk
Performance |
Timeline |
Ashmore Asset Management |
Metrodata Electronics Tbk |
Ashmore Asset and Metrodata Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ashmore Asset and Metrodata Electronics
The main advantage of trading using opposite Ashmore Asset and Metrodata Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Asset position performs unexpectedly, Metrodata Electronics 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 Metrodata Electronics will offset losses from the drop in Metrodata Electronics' 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 |
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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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