Correlation Between DT Cloud and Golub Capital
Can any of the company-specific risk be diversified away by investing in both DT Cloud and Golub 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 DT Cloud and Golub Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DT Cloud Acquisition and Golub Capital BDC, you can compare the effects of market volatilities on DT Cloud and Golub 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 DT Cloud with a short position of Golub Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of DT Cloud and Golub Capital.
Diversification Opportunities for DT Cloud and Golub Capital
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between DYCQ and Golub is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding DT Cloud Acquisition and Golub Capital BDC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golub Capital BDC and DT Cloud 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 DT Cloud Acquisition are associated (or correlated) with Golub Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golub Capital BDC has no effect on the direction of DT Cloud i.e., DT Cloud and Golub Capital go up and down completely randomly.
Pair Corralation between DT Cloud and Golub Capital
Given the investment horizon of 90 days DT Cloud is expected to generate 1.16 times less return on investment than Golub Capital. But when comparing it to its historical volatility, DT Cloud Acquisition is 4.42 times less risky than Golub Capital. It trades about 0.24 of its potential returns per unit of risk. Golub Capital BDC is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,487 in Golub Capital BDC on December 27, 2024 and sell it today you would earn a total of 45.00 from holding Golub Capital BDC or generate 3.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DT Cloud Acquisition vs. Golub Capital BDC
Performance |
Timeline |
DT Cloud Acquisition |
Golub Capital BDC |
DT Cloud and Golub Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DT Cloud and Golub Capital
The main advantage of trading using opposite DT Cloud and Golub Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DT Cloud position performs unexpectedly, Golub 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 Golub Capital will offset losses from the drop in Golub Capital's long position.DT Cloud vs. Skillz Platform | DT Cloud vs. Saia Inc | DT Cloud vs. NetEase | DT Cloud vs. Nexstar Broadcasting Group |
Golub Capital vs. BlackRock TCP Capital | Golub Capital vs. Carlyle Secured Lending | Golub Capital vs. Triplepoint Venture Growth | Golub Capital vs. New Mountain Finance |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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