Correlation Between REINET INVESTMENTS and Bank of China
Can any of the company-specific risk be diversified away by investing in both REINET INVESTMENTS and Bank of China 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 REINET INVESTMENTS and Bank of China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between REINET INVESTMENTS SCA and Bank of China, you can compare the effects of market volatilities on REINET INVESTMENTS and Bank of China 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 REINET INVESTMENTS with a short position of Bank of China. Check out your portfolio center. Please also check ongoing floating volatility patterns of REINET INVESTMENTS and Bank of China.
Diversification Opportunities for REINET INVESTMENTS and Bank of China
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between REINET and Bank is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding REINET INVESTMENTS SCA and Bank of China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of China and REINET INVESTMENTS 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 REINET INVESTMENTS SCA are associated (or correlated) with Bank of China. 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 China has no effect on the direction of REINET INVESTMENTS i.e., REINET INVESTMENTS and Bank of China go up and down completely randomly.
Pair Corralation between REINET INVESTMENTS and Bank of China
Assuming the 90 days horizon REINET INVESTMENTS SCA is expected to under-perform the Bank of China. But the stock apears to be less risky and, when comparing its historical volatility, REINET INVESTMENTS SCA is 2.37 times less risky than Bank of China. The stock trades about -0.07 of its potential returns per unit of risk. The Bank of China is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 44.00 in Bank of China on September 14, 2024 and sell it today you would earn a total of 2.00 from holding Bank of China or generate 4.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
REINET INVESTMENTS SCA vs. Bank of China
Performance |
Timeline |
REINET INVESTMENTS SCA |
Bank of China |
REINET INVESTMENTS and Bank of China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with REINET INVESTMENTS and Bank of China
The main advantage of trading using opposite REINET INVESTMENTS and Bank of China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if REINET INVESTMENTS position performs unexpectedly, Bank of China 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 China will offset losses from the drop in Bank of China's long position.REINET INVESTMENTS vs. Ameriprise Financial | REINET INVESTMENTS vs. Ares Management Corp | REINET INVESTMENTS vs. Superior Plus Corp | REINET INVESTMENTS vs. SIVERS SEMICONDUCTORS AB |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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