Correlation Between Chunghwa Telecom and GOLD ROAD
Can any of the company-specific risk be diversified away by investing in both Chunghwa Telecom and GOLD ROAD 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 Chunghwa Telecom and GOLD ROAD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chunghwa Telecom Co and GOLD ROAD RES, you can compare the effects of market volatilities on Chunghwa Telecom and GOLD ROAD 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 Chunghwa Telecom with a short position of GOLD ROAD. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chunghwa Telecom and GOLD ROAD.
Diversification Opportunities for Chunghwa Telecom and GOLD ROAD
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chunghwa and GOLD is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Chunghwa Telecom Co and GOLD ROAD RES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOLD ROAD RES and Chunghwa Telecom 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 Chunghwa Telecom Co are associated (or correlated) with GOLD ROAD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOLD ROAD RES has no effect on the direction of Chunghwa Telecom i.e., Chunghwa Telecom and GOLD ROAD go up and down completely randomly.
Pair Corralation between Chunghwa Telecom and GOLD ROAD
Assuming the 90 days trading horizon Chunghwa Telecom is expected to generate 5.18 times less return on investment than GOLD ROAD. But when comparing it to its historical volatility, Chunghwa Telecom Co is 3.25 times less risky than GOLD ROAD. It trades about 0.03 of its potential returns per unit of risk. GOLD ROAD RES is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 90.00 in GOLD ROAD RES on December 4, 2024 and sell it today you would earn a total of 55.00 from holding GOLD ROAD RES or generate 61.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.8% |
| Values | Daily Returns |
Chunghwa Telecom Co vs. GOLD ROAD RES
Performance |
| Timeline |
| Chunghwa Telecom |
| GOLD ROAD RES |
Chunghwa Telecom and GOLD ROAD Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Chunghwa Telecom and GOLD ROAD
The main advantage of trading using opposite Chunghwa Telecom and GOLD ROAD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chunghwa Telecom position performs unexpectedly, GOLD ROAD 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 GOLD ROAD will offset losses from the drop in GOLD ROAD's long position.| Chunghwa Telecom vs. COREBRIDGE FINANCIAL INC | Chunghwa Telecom vs. Burlington Stores | Chunghwa Telecom vs. BRIT AMER TOBACCO | Chunghwa Telecom vs. FAST RETAIL ADR |
| GOLD ROAD vs. DeVry Education Group | GOLD ROAD vs. ASURE SOFTWARE | GOLD ROAD vs. Adtalem Global Education | GOLD ROAD vs. GBS Software AG |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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