Correlation Between CHINA CONBANK and PayPal Holdings
Can any of the company-specific risk be diversified away by investing in both CHINA CONBANK and PayPal Holdings 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 CHINA CONBANK and PayPal Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA BANK ADR20 and PayPal Holdings, you can compare the effects of market volatilities on CHINA CONBANK and PayPal Holdings 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 CHINA CONBANK with a short position of PayPal Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA CONBANK and PayPal Holdings.
Diversification Opportunities for CHINA CONBANK and PayPal Holdings
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CHINA and PayPal is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding CHINA BANK ADR20 and PayPal Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PayPal Holdings and CHINA CONBANK 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 CHINA BANK ADR20 are associated (or correlated) with PayPal Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PayPal Holdings has no effect on the direction of CHINA CONBANK i.e., CHINA CONBANK and PayPal Holdings go up and down completely randomly.
Pair Corralation between CHINA CONBANK and PayPal Holdings
Assuming the 90 days trading horizon CHINA BANK ADR20 is expected to generate 0.87 times more return on investment than PayPal Holdings. However, CHINA BANK ADR20 is 1.14 times less risky than PayPal Holdings. It trades about 0.29 of its potential returns per unit of risk. PayPal Holdings is currently generating about 0.15 per unit of risk. If you would invest 1,410 in CHINA BANK ADR20 on September 22, 2024 and sell it today you would earn a total of 90.00 from holding CHINA BANK ADR20 or generate 6.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
CHINA BANK ADR20 vs. PayPal Holdings
Performance |
Timeline |
CHINA BANK ADR20 |
PayPal Holdings |
CHINA CONBANK and PayPal Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA CONBANK and PayPal Holdings
The main advantage of trading using opposite CHINA CONBANK and PayPal Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA CONBANK position performs unexpectedly, PayPal Holdings 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 PayPal Holdings will offset losses from the drop in PayPal Holdings' long position.CHINA CONBANK vs. INDCOMMBK CHINA ADR20 | CHINA CONBANK vs. Industrial and Commercial | CHINA CONBANK vs. AGRICULTBK HADR25 YC | CHINA CONBANK vs. BANK OCHINA H |
PayPal Holdings vs. Apple Inc | PayPal Holdings vs. Apple Inc | PayPal Holdings vs. Apple Inc | PayPal Holdings vs. Apple Inc |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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