Correlation Between Bank Rakyat and Brinker International
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Brinker International 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 Brinker International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and Brinker International, you can compare the effects of market volatilities on Bank Rakyat and Brinker International 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 Brinker International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Brinker International.
Diversification Opportunities for Bank Rakyat and Brinker International
-0.92 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Brinker is -0.92. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and Brinker International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brinker International 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 Brinker International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brinker International has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Brinker International go up and down completely randomly.
Pair Corralation between Bank Rakyat and Brinker International
Assuming the 90 days horizon Bank Rakyat is expected to under-perform the Brinker International. But the pink sheet apears to be less risky and, when comparing its historical volatility, Bank Rakyat is 1.35 times less risky than Brinker International. The pink sheet trades about -0.16 of its potential returns per unit of risk. The Brinker International is currently generating about 0.42 of returns per unit of risk over similar time horizon. If you would invest 7,152 in Brinker International on August 30, 2024 and sell it today you would earn a total of 5,917 from holding Brinker International or generate 82.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Rakyat vs. Brinker International
Performance |
Timeline |
Bank Rakyat |
Brinker International |
Bank Rakyat and Brinker International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Brinker International
The main advantage of trading using opposite Bank Rakyat and Brinker International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Brinker International 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 Brinker International will offset losses from the drop in Brinker International's long position.Bank Rakyat vs. Israel Discount Bank | Bank Rakyat vs. Baraboo Bancorporation | Bank Rakyat vs. Danske Bank AS | Bank Rakyat vs. Jyske Bank AS |
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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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