Correlation Between Barclays PLC and Bank of Communications Co
Can any of the company-specific risk be diversified away by investing in both Barclays PLC and Bank of Communications Co 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 Barclays PLC and Bank of Communications Co into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barclays PLC and Bank of Communications, you can compare the effects of market volatilities on Barclays PLC and Bank of Communications Co 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 Barclays PLC with a short position of Bank of Communications Co. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barclays PLC and Bank of Communications Co.
Diversification Opportunities for Barclays PLC and Bank of Communications Co
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Barclays and Bank is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Barclays PLC and Bank of Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Communications Co and Barclays PLC 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 Barclays PLC are associated (or correlated) with Bank of Communications Co. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Communications Co has no effect on the direction of Barclays PLC i.e., Barclays PLC and Bank of Communications Co go up and down completely randomly.
Pair Corralation between Barclays PLC and Bank of Communications Co
Assuming the 90 days horizon Barclays PLC is expected to generate 1.5 times more return on investment than Bank of Communications Co. However, Barclays PLC is 1.5 times more volatile than Bank of Communications. It trades about 0.12 of its potential returns per unit of risk. Bank of Communications is currently generating about 0.11 per unit of risk. If you would invest 332.00 in Barclays PLC on November 30, 2024 and sell it today you would earn a total of 44.00 from holding Barclays PLC or generate 13.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.62% |
Values | Daily Returns |
Barclays PLC vs. Bank of Communications
Performance |
Timeline |
Barclays PLC |
Bank of Communications Co |
Barclays PLC and Bank of Communications Co Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barclays PLC and Bank of Communications Co
The main advantage of trading using opposite Barclays PLC and Bank of Communications Co positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barclays PLC position performs unexpectedly, Bank of Communications Co 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 Bank of Communications Co will offset losses from the drop in Bank of Communications Co's long position.Barclays PLC vs. ABN AMRO Bank | Barclays PLC vs. Bank of America | Barclays PLC vs. Bank of America | Barclays PLC vs. Banco Bilbao Vizcaya |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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