Correlation Between WhiteHorse Finance and New Mountain
Can any of the company-specific risk be diversified away by investing in both WhiteHorse Finance and New Mountain 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 WhiteHorse Finance and New Mountain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WhiteHorse Finance and New Mountain Finance, you can compare the effects of market volatilities on WhiteHorse Finance and New Mountain 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 WhiteHorse Finance with a short position of New Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of WhiteHorse Finance and New Mountain.
Diversification Opportunities for WhiteHorse Finance and New Mountain
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between WhiteHorse and New is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding WhiteHorse Finance and New Mountain Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Mountain Finance and WhiteHorse Finance 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 WhiteHorse Finance are associated (or correlated) with New Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Mountain Finance has no effect on the direction of WhiteHorse Finance i.e., WhiteHorse Finance and New Mountain go up and down completely randomly.
Pair Corralation between WhiteHorse Finance and New Mountain
Considering the 90-day investment horizon WhiteHorse Finance is expected to generate 1.27 times less return on investment than New Mountain. In addition to that, WhiteHorse Finance is 1.63 times more volatile than New Mountain Finance. It trades about 0.03 of its total potential returns per unit of risk. New Mountain Finance is currently generating about 0.05 per unit of volatility. If you would invest 1,001 in New Mountain Finance on November 27, 2024 and sell it today you would earn a total of 193.00 from holding New Mountain Finance or generate 19.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
WhiteHorse Finance vs. New Mountain Finance
Performance |
Timeline |
WhiteHorse Finance |
New Mountain Finance |
WhiteHorse Finance and New Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WhiteHorse Finance and New Mountain
The main advantage of trading using opposite WhiteHorse Finance and New Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WhiteHorse Finance position performs unexpectedly, New Mountain 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 New Mountain will offset losses from the drop in New Mountain's long position.WhiteHorse Finance vs. Monroe Capital Corp | WhiteHorse Finance vs. Portman Ridge Finance | WhiteHorse Finance vs. Fidus Investment Corp | WhiteHorse Finance vs. Diamond Hill Investment |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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