Correlation Between Bank of Queensland and Kkr Credit
Can any of the company-specific risk be diversified away by investing in both Bank of Queensland and Kkr Credit 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 Queensland and Kkr Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Queensland and Kkr Credit Income, you can compare the effects of market volatilities on Bank of Queensland and Kkr Credit 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 Queensland with a short position of Kkr Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Queensland and Kkr Credit.
Diversification Opportunities for Bank of Queensland and Kkr Credit
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bank and Kkr is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Queensland and Kkr Credit Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kkr Credit Income and Bank of Queensland 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 Queensland are associated (or correlated) with Kkr Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kkr Credit Income has no effect on the direction of Bank of Queensland i.e., Bank of Queensland and Kkr Credit go up and down completely randomly.
Pair Corralation between Bank of Queensland and Kkr Credit
Assuming the 90 days trading horizon Bank of Queensland is expected to generate 3.46 times less return on investment than Kkr Credit. But when comparing it to its historical volatility, Bank of Queensland is 2.53 times less risky than Kkr Credit. It trades about 0.06 of its potential returns per unit of risk. Kkr Credit Income is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 161.00 in Kkr Credit Income on September 28, 2024 and sell it today you would earn a total of 79.00 from holding Kkr Credit Income or generate 49.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Queensland vs. Kkr Credit Income
Performance |
Timeline |
Bank of Queensland |
Kkr Credit Income |
Bank of Queensland and Kkr Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Queensland and Kkr Credit
The main advantage of trading using opposite Bank of Queensland and Kkr Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Queensland position performs unexpectedly, Kkr Credit 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 Kkr Credit will offset losses from the drop in Kkr Credit's long position.Bank of Queensland vs. Mystate | Bank of Queensland vs. LGI | Bank of Queensland vs. Supply Network | Bank of Queensland vs. Arrow Minerals |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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