Correlation Between Telkom Indonesia and WeTrade Group
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and WeTrade Group 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 WeTrade Group 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 WeTrade Group Ordinary, you can compare the effects of market volatilities on Telkom Indonesia and WeTrade Group 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 WeTrade Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and WeTrade Group.
Diversification Opportunities for Telkom Indonesia and WeTrade Group
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telkom and WeTrade is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and WeTrade Group Ordinary in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WeTrade Group Ordinary 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 WeTrade Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WeTrade Group Ordinary has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and WeTrade Group go up and down completely randomly.
Pair Corralation between Telkom Indonesia and WeTrade Group
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to generate 0.11 times more return on investment than WeTrade Group. However, Telkom Indonesia Tbk is 8.91 times less risky than WeTrade Group. It trades about -0.04 of its potential returns per unit of risk. WeTrade Group Ordinary is currently generating about -0.05 per unit of risk. If you would invest 2,271 in Telkom Indonesia Tbk on October 3, 2024 and sell it today you would lose (628.00) from holding Telkom Indonesia Tbk or give up 27.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 70.71% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. WeTrade Group Ordinary
Performance |
Timeline |
Telkom Indonesia Tbk |
WeTrade Group Ordinary |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Telkom Indonesia and WeTrade Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and WeTrade Group
The main advantage of trading using opposite Telkom Indonesia and WeTrade Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, WeTrade Group 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 WeTrade Group will offset losses from the drop in WeTrade Group's long position.Telkom Indonesia vs. Liberty Broadband Srs | Telkom Indonesia vs. Cable One | Telkom Indonesia vs. Liberty Broadband Corp | Telkom Indonesia vs. Liberty Global PLC |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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