Correlation Between Meiko Electronics and Chunghwa Telecom
Can any of the company-specific risk be diversified away by investing in both Meiko Electronics and Chunghwa Telecom 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 Meiko Electronics and Chunghwa Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meiko Electronics Co and Chunghwa Telecom Co, you can compare the effects of market volatilities on Meiko Electronics and Chunghwa Telecom 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 Meiko Electronics with a short position of Chunghwa Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meiko Electronics and Chunghwa Telecom.
Diversification Opportunities for Meiko Electronics and Chunghwa Telecom
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Meiko and Chunghwa is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Meiko Electronics Co and Chunghwa Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Telecom and Meiko Electronics 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 Meiko Electronics Co are associated (or correlated) with Chunghwa Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chunghwa Telecom has no effect on the direction of Meiko Electronics i.e., Meiko Electronics and Chunghwa Telecom go up and down completely randomly.
Pair Corralation between Meiko Electronics and Chunghwa Telecom
Assuming the 90 days horizon Meiko Electronics is expected to generate 1.48 times less return on investment than Chunghwa Telecom. In addition to that, Meiko Electronics is 1.73 times more volatile than Chunghwa Telecom Co. It trades about 0.05 of its total potential returns per unit of risk. Chunghwa Telecom Co is currently generating about 0.14 per unit of volatility. If you would invest 3,296 in Chunghwa Telecom Co on April 24, 2025 and sell it today you would earn a total of 444.00 from holding Chunghwa Telecom Co or generate 13.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Meiko Electronics Co vs. Chunghwa Telecom Co
Performance |
Timeline |
Meiko Electronics |
Chunghwa Telecom |
Meiko Electronics and Chunghwa Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meiko Electronics and Chunghwa Telecom
The main advantage of trading using opposite Meiko Electronics and Chunghwa Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meiko Electronics position performs unexpectedly, Chunghwa Telecom 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 Chunghwa Telecom will offset losses from the drop in Chunghwa Telecom's long position.Meiko Electronics vs. JD SPORTS FASH | Meiko Electronics vs. Ming Le Sports | Meiko Electronics vs. PLAYWAY SA ZY 10 | Meiko Electronics vs. Citic Telecom International |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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