Correlation Between Telkom Indonesia and Hua Hong
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Hua Hong 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 Hua Hong 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 Hua Hong Semiconductor, you can compare the effects of market volatilities on Telkom Indonesia and Hua Hong 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 Hua Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Hua Hong.
Diversification Opportunities for Telkom Indonesia and Hua Hong
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and Hua is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Hua Hong Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hua Hong Semiconductor 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 Hua Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hua Hong Semiconductor has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Hua Hong go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Hua Hong
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to under-perform the Hua Hong. But the stock apears to be less risky and, when comparing its historical volatility, Telkom Indonesia Tbk is 5.0 times less risky than Hua Hong. The stock trades about -0.18 of its potential returns per unit of risk. The Hua Hong Semiconductor is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 189.00 in Hua Hong Semiconductor on September 18, 2024 and sell it today you would earn a total of 154.00 from holding Hua Hong Semiconductor or generate 81.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Hua Hong Semiconductor
Performance |
Timeline |
Telkom Indonesia Tbk |
Hua Hong Semiconductor |
Telkom Indonesia and Hua Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Hua Hong
The main advantage of trading using opposite Telkom Indonesia and Hua Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Hua Hong 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 Hua Hong will offset losses from the drop in Hua Hong's long position.Telkom Indonesia vs. T Mobile | Telkom Indonesia vs. Comcast Corp | Telkom Indonesia vs. Charter Communications | Telkom Indonesia vs. Vodafone Group PLC |
Hua Hong vs. Advanced Micro Devices | Hua Hong vs. Intel | Hua Hong vs. Taiwan Semiconductor Manufacturing | Hua Hong vs. Marvell Technology Group |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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