Correlation Between BURLINGTON STORES and Chunghwa Telecom
Can any of the company-specific risk be diversified away by investing in both BURLINGTON STORES 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 BURLINGTON STORES and Chunghwa Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BURLINGTON STORES and Chunghwa Telecom Co, you can compare the effects of market volatilities on BURLINGTON STORES 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 BURLINGTON STORES with a short position of Chunghwa Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of BURLINGTON STORES and Chunghwa Telecom.
Diversification Opportunities for BURLINGTON STORES and Chunghwa Telecom
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BURLINGTON and Chunghwa is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding BURLINGTON STORES and Chunghwa Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Telecom and BURLINGTON STORES 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 BURLINGTON STORES 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 BURLINGTON STORES i.e., BURLINGTON STORES and Chunghwa Telecom go up and down completely randomly.
Pair Corralation between BURLINGTON STORES and Chunghwa Telecom
Assuming the 90 days trading horizon BURLINGTON STORES is expected to generate 1.48 times more return on investment than Chunghwa Telecom. However, BURLINGTON STORES is 1.48 times more volatile than Chunghwa Telecom Co. It trades about 0.13 of its potential returns per unit of risk. Chunghwa Telecom Co is currently generating about 0.15 per unit of risk. If you would invest 18,800 in BURLINGTON STORES on April 22, 2025 and sell it today you would earn a total of 3,600 from holding BURLINGTON STORES or generate 19.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
BURLINGTON STORES vs. Chunghwa Telecom Co
Performance |
Timeline |
BURLINGTON STORES |
Chunghwa Telecom |
BURLINGTON STORES and Chunghwa Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BURLINGTON STORES and Chunghwa Telecom
The main advantage of trading using opposite BURLINGTON STORES and Chunghwa Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BURLINGTON STORES 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.BURLINGTON STORES vs. COSTCO WHOLESALE CDR | BURLINGTON STORES vs. BJs Wholesale Club | BURLINGTON STORES vs. Lippo Malls Indonesia | BURLINGTON STORES vs. ECHO INVESTMENT ZY |
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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