Correlation Between FS KKR and Prospect Capital
Can any of the company-specific risk be diversified away by investing in both FS KKR and Prospect Capital 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 FS KKR and Prospect Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FS KKR Capital and Prospect Capital, you can compare the effects of market volatilities on FS KKR and Prospect Capital 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 FS KKR with a short position of Prospect Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of FS KKR and Prospect Capital.
Diversification Opportunities for FS KKR and Prospect Capital
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FSK and Prospect is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding FS KKR Capital and Prospect Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prospect Capital and FS KKR 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 FS KKR Capital are associated (or correlated) with Prospect Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prospect Capital has no effect on the direction of FS KKR i.e., FS KKR and Prospect Capital go up and down completely randomly.
Pair Corralation between FS KKR and Prospect Capital
Considering the 90-day investment horizon FS KKR is expected to generate 1.53 times less return on investment than Prospect Capital. In addition to that, FS KKR is 1.32 times more volatile than Prospect Capital. It trades about 0.01 of its total potential returns per unit of risk. Prospect Capital is currently generating about 0.03 per unit of volatility. If you would invest 413.00 in Prospect Capital on December 28, 2024 and sell it today you would earn a total of 5.00 from holding Prospect Capital or generate 1.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FS KKR Capital vs. Prospect Capital
Performance |
Timeline |
FS KKR Capital |
Prospect Capital |
FS KKR and Prospect Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FS KKR and Prospect Capital
The main advantage of trading using opposite FS KKR and Prospect Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FS KKR position performs unexpectedly, Prospect Capital 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 Prospect Capital will offset losses from the drop in Prospect Capital's long position.FS KKR vs. BlackRock TCP Capital | FS KKR vs. Triplepoint Venture Growth | FS KKR vs. Sixth Street Specialty | FS KKR vs. Golub Capital BDC |
Prospect Capital vs. Gladstone Capital | Prospect Capital vs. Horizon Technology Finance | Prospect Capital vs. Gladstone Investment | Prospect Capital vs. Stellus Capital Investment |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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