Correlation Between Telkom Indonesia and Aurubis AG
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Aurubis AG 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 Telkom Indonesia and Aurubis AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telkom Indonesia Tbk and Aurubis AG, you can compare the effects of market volatilities on Telkom Indonesia and Aurubis AG 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 Telkom Indonesia with a short position of Aurubis AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Aurubis AG.
Diversification Opportunities for Telkom Indonesia and Aurubis AG
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and Aurubis is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Aurubis AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aurubis AG and Telkom Indonesia 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 Telkom Indonesia Tbk are associated (or correlated) with Aurubis AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aurubis AG has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Aurubis AG go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Aurubis AG
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 3.1 times more return on investment than Aurubis AG. However, Telkom Indonesia is 3.1 times more volatile than Aurubis AG. It trades about 0.04 of its potential returns per unit of risk. Aurubis AG is currently generating about 0.0 per unit of risk. If you would invest 14.00 in Telkom Indonesia Tbk on September 19, 2024 and sell it today you would earn a total of 0.00 from holding Telkom Indonesia Tbk or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Aurubis AG
Performance |
Timeline |
Telkom Indonesia Tbk |
Aurubis AG |
Telkom Indonesia and Aurubis AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Aurubis AG
The main advantage of trading using opposite Telkom Indonesia and Aurubis AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Aurubis AG 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 Aurubis AG will offset losses from the drop in Aurubis AG's long position.Telkom Indonesia vs. Superior Plus Corp | Telkom Indonesia vs. SIVERS SEMICONDUCTORS AB | Telkom Indonesia vs. Norsk Hydro ASA | Telkom Indonesia vs. Reliance Steel Aluminum |
Aurubis AG vs. Southern Copper | Aurubis AG vs. Sandfire Resources Limited | Aurubis AG vs. Superior Plus Corp | Aurubis AG vs. NMI Holdings |
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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