Correlation Between Bank of China Limited and NIPPON MEAT
Can any of the company-specific risk be diversified away by investing in both Bank of China Limited and NIPPON MEAT 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 NIPPON MEAT 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 NIPPON MEAT PACKERS, you can compare the effects of market volatilities on Bank of China Limited and NIPPON MEAT 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 NIPPON MEAT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of China Limited and NIPPON MEAT.
Diversification Opportunities for Bank of China Limited and NIPPON MEAT
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and NIPPON is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Bank of China and NIPPON MEAT PACKERS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NIPPON MEAT PACKERS 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 NIPPON MEAT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NIPPON MEAT PACKERS has no effect on the direction of Bank of China Limited i.e., Bank of China Limited and NIPPON MEAT go up and down completely randomly.
Pair Corralation between Bank of China Limited and NIPPON MEAT
Assuming the 90 days horizon Bank of China is expected to generate 1.29 times more return on investment than NIPPON MEAT. However, Bank of China Limited is 1.29 times more volatile than NIPPON MEAT PACKERS. It trades about 0.05 of its potential returns per unit of risk. NIPPON MEAT PACKERS is currently generating about -0.03 per unit of risk. If you would invest 41.00 in Bank of China on August 31, 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 | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of China vs. NIPPON MEAT PACKERS
Performance |
Timeline |
Bank of China Limited |
NIPPON MEAT PACKERS |
Bank of China Limited and NIPPON MEAT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of China Limited and NIPPON MEAT
The main advantage of trading using opposite Bank of China Limited and NIPPON MEAT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of China Limited position performs unexpectedly, NIPPON MEAT 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 NIPPON MEAT will offset losses from the drop in NIPPON MEAT's long position.Bank of China Limited vs. Verizon Communications | Bank of China Limited vs. MTI WIRELESS EDGE | Bank of China Limited vs. Hanison Construction Holdings | Bank of China Limited vs. SBA Communications Corp |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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