Correlation Between Bank Rakyat and Chongqing Rural
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Chongqing Rural 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 Rakyat and Chongqing Rural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and Chongqing Rural Commercial, you can compare the effects of market volatilities on Bank Rakyat and Chongqing Rural 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 Rakyat with a short position of Chongqing Rural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Chongqing Rural.
Diversification Opportunities for Bank Rakyat and Chongqing Rural
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Chongqing is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and Chongqing Rural Commercial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chongqing Rural Comm and Bank Rakyat 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 Rakyat are associated (or correlated) with Chongqing Rural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chongqing Rural Comm has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Chongqing Rural go up and down completely randomly.
Pair Corralation between Bank Rakyat and Chongqing Rural
Assuming the 90 days horizon Bank Rakyat is expected to under-perform the Chongqing Rural. But the pink sheet apears to be less risky and, when comparing its historical volatility, Bank Rakyat is 3.5 times less risky than Chongqing Rural. The pink sheet trades about -0.02 of its potential returns per unit of risk. The Chongqing Rural Commercial is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,811 in Chongqing Rural Commercial on September 23, 2024 and sell it today you would earn a total of 897.00 from holding Chongqing Rural Commercial or generate 49.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Bank Rakyat vs. Chongqing Rural Commercial
Performance |
Timeline |
Bank Rakyat |
Chongqing Rural Comm |
Bank Rakyat and Chongqing Rural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Chongqing Rural
The main advantage of trading using opposite Bank Rakyat and Chongqing Rural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Chongqing Rural 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 Chongqing Rural will offset losses from the drop in Chongqing Rural's long position.Bank Rakyat vs. Banco Bradesco SA | Bank Rakyat vs. Itau Unibanco Banco | Bank Rakyat vs. Lloyds Banking Group | Bank Rakyat vs. Deutsche Bank AG |
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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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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