Correlation Between Bank Rakyat and Blueriver Acquisition
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Blueriver Acquisition 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 Blueriver Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and Blueriver Acquisition Corp, you can compare the effects of market volatilities on Bank Rakyat and Blueriver Acquisition 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 Blueriver Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Blueriver Acquisition.
Diversification Opportunities for Bank Rakyat and Blueriver Acquisition
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Blueriver is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and Blueriver Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blueriver Acquisition 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 Blueriver Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blueriver Acquisition has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Blueriver Acquisition go up and down completely randomly.
Pair Corralation between Bank Rakyat and Blueriver Acquisition
Assuming the 90 days horizon Bank Rakyat is expected to generate 1.52 times less return on investment than Blueriver Acquisition. In addition to that, Bank Rakyat is 2.39 times more volatile than Blueriver Acquisition Corp. It trades about 0.01 of its total potential returns per unit of risk. Blueriver Acquisition Corp is currently generating about 0.02 per unit of volatility. If you would invest 1,003 in Blueriver Acquisition Corp on September 2, 2024 and sell it today you would earn a total of 52.00 from holding Blueriver Acquisition Corp or generate 5.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 90.52% |
Values | Daily Returns |
Bank Rakyat vs. Blueriver Acquisition Corp
Performance |
Timeline |
Bank Rakyat |
Blueriver Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank Rakyat and Blueriver Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Blueriver Acquisition
The main advantage of trading using opposite Bank Rakyat and Blueriver Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Blueriver Acquisition 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 Blueriver Acquisition will offset losses from the drop in Blueriver Acquisition's long position.Bank Rakyat vs. Piraeus Bank SA | Bank Rakyat vs. Turkiye Garanti Bankasi | Bank Rakyat vs. Uwharrie Capital Corp |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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