Correlation Between Bausch Health and Virtus Investment
Can any of the company-specific risk be diversified away by investing in both Bausch Health and Virtus Investment 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 Bausch Health and Virtus Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bausch Health Companies and Virtus Investment Partners, you can compare the effects of market volatilities on Bausch Health and Virtus Investment 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 Bausch Health with a short position of Virtus Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bausch Health and Virtus Investment.
Diversification Opportunities for Bausch Health and Virtus Investment
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bausch and Virtus is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Bausch Health Companies and Virtus Investment Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Virtus Investment and Bausch Health 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 Bausch Health Companies are associated (or correlated) with Virtus Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Virtus Investment has no effect on the direction of Bausch Health i.e., Bausch Health and Virtus Investment go up and down completely randomly.
Pair Corralation between Bausch Health and Virtus Investment
Assuming the 90 days horizon Bausch Health Companies is expected to generate 1.31 times more return on investment than Virtus Investment. However, Bausch Health is 1.31 times more volatile than Virtus Investment Partners. It trades about -0.05 of its potential returns per unit of risk. Virtus Investment Partners is currently generating about -0.19 per unit of risk. If you would invest 708.00 in Bausch Health Companies on December 21, 2024 and sell it today you would lose (73.00) from holding Bausch Health Companies or give up 10.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bausch Health Companies vs. Virtus Investment Partners
Performance |
Timeline |
Bausch Health Companies |
Virtus Investment |
Bausch Health and Virtus Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bausch Health and Virtus Investment
The main advantage of trading using opposite Bausch Health and Virtus Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bausch Health position performs unexpectedly, Virtus Investment 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 Virtus Investment will offset losses from the drop in Virtus Investment's long position.Bausch Health vs. Cembra Money Bank | Bausch Health vs. Upland Software | Bausch Health vs. Uber Technologies | Bausch Health vs. CREDIT AGRICOLE |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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