Correlation Between Dow Jones and Bausch Lomb
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Bausch Lomb 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 Dow Jones and Bausch Lomb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Bausch Lomb Corp, you can compare the effects of market volatilities on Dow Jones and Bausch Lomb 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 Dow Jones with a short position of Bausch Lomb. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Bausch Lomb.
Diversification Opportunities for Dow Jones and Bausch Lomb
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dow and Bausch is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bausch Lomb Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bausch Lomb Corp and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Bausch Lomb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bausch Lomb Corp has no effect on the direction of Dow Jones i.e., Dow Jones and Bausch Lomb go up and down completely randomly.
Pair Corralation between Dow Jones and Bausch Lomb
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.45 times more return on investment than Bausch Lomb. However, Dow Jones Industrial is 2.22 times less risky than Bausch Lomb. It trades about -0.04 of its potential returns per unit of risk. Bausch Lomb Corp is currently generating about -0.18 per unit of risk. If you would invest 4,257,373 in Dow Jones Industrial on December 29, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Bausch Lomb Corp
Performance |
Timeline |
Dow Jones and Bausch Lomb Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Bausch Lomb Corp
Pair trading matchups for Bausch Lomb
Pair Trading with Dow Jones and Bausch Lomb
The main advantage of trading using opposite Dow Jones and Bausch Lomb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Bausch Lomb 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 Bausch Lomb will offset losses from the drop in Bausch Lomb's long position.Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark Investment |
Bausch Lomb vs. The Cooper Companies, | Bausch Lomb vs. ICU Medical | Bausch Lomb vs. Hologic | Bausch Lomb vs. Becton Dickinson and |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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