Correlation Between Chunghwa Telecom and Channel Well
Can any of the company-specific risk be diversified away by investing in both Chunghwa Telecom and Channel Well 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 Channel Well 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 Channel Well Technology, you can compare the effects of market volatilities on Chunghwa Telecom and Channel Well 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 Channel Well. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chunghwa Telecom and Channel Well.
Diversification Opportunities for Chunghwa Telecom and Channel Well
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chunghwa and Channel is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Chunghwa Telecom Co and Channel Well Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Channel Well Technology 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 Channel Well. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Channel Well Technology has no effect on the direction of Chunghwa Telecom i.e., Chunghwa Telecom and Channel Well go up and down completely randomly.
Pair Corralation between Chunghwa Telecom and Channel Well
Assuming the 90 days trading horizon Chunghwa Telecom is expected to generate 15.63 times less return on investment than Channel Well. But when comparing it to its historical volatility, Chunghwa Telecom Co is 5.73 times less risky than Channel Well. It trades about 0.05 of its potential returns per unit of risk. Channel Well Technology is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6,460 in Channel Well Technology on October 23, 2024 and sell it today you would earn a total of 1,300 from holding Channel Well Technology or generate 20.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Chunghwa Telecom Co vs. Channel Well Technology
Performance |
Timeline |
Chunghwa Telecom |
Channel Well Technology |
Chunghwa Telecom and Channel Well Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chunghwa Telecom and Channel Well
The main advantage of trading using opposite Chunghwa Telecom and Channel Well positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chunghwa Telecom position performs unexpectedly, Channel Well 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 Channel Well will offset losses from the drop in Channel Well's long position.Chunghwa Telecom vs. Taiwan Mobile Co | Chunghwa Telecom vs. China Steel Corp | Chunghwa Telecom vs. Formosa Plastics Corp | Chunghwa Telecom vs. Cathay Financial Holding |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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