Correlation Between BSP Financial and Kkr Credit
Can any of the company-specific risk be diversified away by investing in both BSP Financial 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 BSP Financial and Kkr Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BSP Financial Group and Kkr Credit Income, you can compare the effects of market volatilities on BSP Financial 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 BSP Financial with a short position of Kkr Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of BSP Financial and Kkr Credit.
Diversification Opportunities for BSP Financial and Kkr Credit
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BSP and Kkr is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding BSP Financial Group 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 BSP Financial 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 BSP Financial Group 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 BSP Financial i.e., BSP Financial and Kkr Credit go up and down completely randomly.
Pair Corralation between BSP Financial and Kkr Credit
Assuming the 90 days trading horizon BSP Financial is expected to generate 1.27 times less return on investment than Kkr Credit. In addition to that, BSP Financial is 2.33 times more volatile than Kkr Credit Income. It trades about 0.02 of its total potential returns per unit of risk. Kkr Credit Income is currently generating about 0.05 per unit of volatility. If you would invest 226.00 in Kkr Credit Income on September 3, 2024 and sell it today you would earn a total of 5.00 from holding Kkr Credit Income or generate 2.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BSP Financial Group vs. Kkr Credit Income
Performance |
Timeline |
BSP Financial Group |
Kkr Credit Income |
BSP Financial and Kkr Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BSP Financial and Kkr Credit
The main advantage of trading using opposite BSP Financial and Kkr Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BSP Financial 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.BSP Financial vs. Audio Pixels Holdings | BSP Financial vs. Iodm | BSP Financial vs. Nsx | BSP Financial vs. TTG Fintech |
Kkr Credit vs. ABACUS STORAGE KING | Kkr Credit vs. Champion Iron | Kkr Credit vs. iShares Global Healthcare | Kkr Credit vs. Peel Mining |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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