Correlation Between GM and Golub Capital
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and Golub Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Golub Capital BDC, you can compare the effects of market volatilities on GM 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 GM with a short position of Golub Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Golub Capital.
Diversification Opportunities for GM and Golub Capital
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Golub is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors 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 GM 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 General Motors 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 GM i.e., GM and Golub Capital go up and down completely randomly.
Pair Corralation between GM and Golub Capital
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.05 times more return on investment than Golub Capital. However, GM is 3.05 times more volatile than Golub Capital BDC. It trades about 0.09 of its potential returns per unit of risk. Golub Capital BDC is currently generating about 0.1 per unit of risk. If you would invest 4,829 in General Motors on September 3, 2024 and sell it today you would earn a total of 675.00 from holding General Motors or generate 13.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Golub Capital BDC
Performance |
Timeline |
General Motors |
Golub Capital BDC |
GM and Golub Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Golub Capital
The main advantage of trading using opposite GM and Golub Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and Golub Capital BDC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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