Correlation Between Ashmore Asset and PT Hatten
Can any of the company-specific risk be diversified away by investing in both Ashmore Asset and PT Hatten 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 PT Hatten 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 PT Hatten Bali, you can compare the effects of market volatilities on Ashmore Asset and PT Hatten 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 PT Hatten. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Asset and PT Hatten.
Diversification Opportunities for Ashmore Asset and PT Hatten
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ashmore and WINE is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Asset Management and PT Hatten Bali in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Hatten Bali 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 PT Hatten. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Hatten Bali has no effect on the direction of Ashmore Asset i.e., Ashmore Asset and PT Hatten go up and down completely randomly.
Pair Corralation between Ashmore Asset and PT Hatten
Assuming the 90 days trading horizon Ashmore Asset Management is expected to under-perform the PT Hatten. But the stock apears to be less risky and, when comparing its historical volatility, Ashmore Asset Management is 2.54 times less risky than PT Hatten. The stock trades about -0.21 of its potential returns per unit of risk. The PT Hatten Bali is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 30,000 in PT Hatten Bali on December 30, 2024 and sell it today you would lose (6,400) from holding PT Hatten Bali or give up 21.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ashmore Asset Management vs. PT Hatten Bali
Performance |
Timeline |
Ashmore Asset Management |
PT Hatten Bali |
Ashmore Asset and PT Hatten Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ashmore Asset and PT Hatten
The main advantage of trading using opposite Ashmore Asset and PT Hatten positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Asset position performs unexpectedly, PT Hatten 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 PT Hatten will offset losses from the drop in PT Hatten'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 |
PT Hatten vs. PT Jobubu Jarum | PT Hatten vs. PT Dewi Shri | PT Hatten vs. PT Data Sinergitama | PT Hatten vs. PAM Mineral Tbk |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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