Correlation Between Bank of China Limited and DOCDATA
Can any of the company-specific risk be diversified away by investing in both Bank of China Limited and DOCDATA 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 Bank of China Limited and DOCDATA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of China and DOCDATA, you can compare the effects of market volatilities on Bank of China Limited and DOCDATA 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 Bank of China Limited with a short position of DOCDATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of China Limited and DOCDATA.
Diversification Opportunities for Bank of China Limited and DOCDATA
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and DOCDATA is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Bank of China and DOCDATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DOCDATA and Bank of China Limited 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 Bank of China are associated (or correlated) with DOCDATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DOCDATA has no effect on the direction of Bank of China Limited i.e., Bank of China Limited and DOCDATA go up and down completely randomly.
Pair Corralation between Bank of China Limited and DOCDATA
Assuming the 90 days horizon Bank of China is expected to generate 0.68 times more return on investment than DOCDATA. However, Bank of China is 1.47 times less risky than DOCDATA. It trades about 0.05 of its potential returns per unit of risk. DOCDATA is currently generating about -0.05 per unit of risk. If you would invest 41.00 in Bank of China on September 2, 2024 and sell it today you would earn a total of 2.00 from holding Bank of China or generate 4.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of China vs. DOCDATA
Performance |
Timeline |
Bank of China Limited |
DOCDATA |
Bank of China Limited and DOCDATA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of China Limited and DOCDATA
The main advantage of trading using opposite Bank of China Limited and DOCDATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of China Limited position performs unexpectedly, DOCDATA 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 DOCDATA will offset losses from the drop in DOCDATA's long position.Bank of China Limited vs. Superior Plus Corp | Bank of China Limited vs. NMI Holdings | Bank of China Limited vs. Origin Agritech | Bank of China Limited vs. SIVERS SEMICONDUCTORS AB |
DOCDATA vs. SIVERS SEMICONDUCTORS AB | DOCDATA vs. Darden Restaurants | DOCDATA vs. Reliance Steel Aluminum | DOCDATA vs. Q2M Managementberatung AG |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Stocks Directory Find actively traded stocks across global markets | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |